diff --git a/doc/water/index.rst b/doc/water/index.rst index 925ef0f17e..bcff686118 100644 --- a/doc/water/index.rst +++ b/doc/water/index.rst @@ -21,11 +21,15 @@ model and scenario specifications can be either set manually in ``cli.py`` or sp .. code:: - Usage: mix-models water [OPTIONS] COMMAND [ARGS]... + Usage: mix-models water-ix [OPTIONS] COMMAND [ARGS]... + + MESSAGEix-Water and Nexus variant. Options: - --regions [ISR|R11|R12|R14|R32|RCP|ZMB] + --regions [ADVANCE|B210-R11|ISR|R11|R12|R14|R17|R20|R32|RCP|ZMB] Code list to use for 'node' dimension. + --ssp [LED|SSP1|SSP2|SSP3|SSP4|SSP5] + --time TEXT Manually defined time --help Show this message and exit. Commands: diff --git a/doc/whatsnew.rst b/doc/whatsnew.rst index ec29d5b3d7..1b8271b081 100644 --- a/doc/whatsnew.rst +++ b/doc/whatsnew.rst @@ -4,6 +4,7 @@ What's new Next release ============ +- Introduce an SSP configuration for cooling technologies with share constraints (:pull:`256`). - :mod:`message_ix_models` is tested and compatible with `Python 3.13 `__ (:pull:`250`). - Support for Python 3.8 is dropped (:pull:`250`), as it has reached end-of-life. - Connect the water module to the cost module for cooling technologies (:pull:`245`). diff --git a/message_ix_models/data/costs/cooling/tech_map.csv b/message_ix_models/data/costs/cooling/tech_map.csv index 2937e07289..2c2d3e7439 100644 --- a/message_ix_models/data/costs/cooling/tech_map.csv +++ b/message_ix_models/data/costs/cooling/tech_map.csv @@ -91,11 +91,67 @@ solar_th_ppl__air,energy,solar_th_ppl,220,0,2015 solar_th_ppl__cl_fresh,energy,solar_th_ppl,100,0,2015 solar_th_ppl__ot_fresh,energy,solar_th_ppl,0.4,0,2015 solar_th_ppl__ot_saline,energy,solar_th_ppl,0.3,0,2015 -csp_sm1_ppl__air,energy,csp_sm1_ppl,220,0,2015 -csp_sm1_ppl__cl_fresh,energy,csp_sm1_ppl,100,0,2015 -csp_sm1_ppl__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 -csp_sm1_ppl__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 -csp_sm3_ppl__air,energy,csp_sm3_ppl,220,0,2015 -csp_sm3_ppl__cl_fresh,energy,csp_sm3_ppl,100,0,2015 -csp_sm3_ppl__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 -csp_sm3_ppl__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm1_res__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res1__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res1__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res1__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res1__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res2__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res2__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res2__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res2__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res3__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res3__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res3__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res3__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res4__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res4__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res4__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res4__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res5__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res5__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res5__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res5__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res6__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res6__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res6__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res6__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm1_res7__air,energy,csp_sm1_ppl,220,0,2015 +csp_sm1_res7__cl_fresh,energy,csp_sm1_ppl,100,0,2015 +csp_sm1_res7__ot_fresh,energy,csp_sm1_ppl,0.4,0,2015 +csp_sm1_res7__ot_saline,energy,csp_sm1_ppl,0.3,0,2015 +csp_sm3_res__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res1__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res1__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res1__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res1__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res2__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res2__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res2__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res2__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res3__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res3__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res3__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res3__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res4__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res4__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res4__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res4__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res5__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res5__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res5__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res5__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res6__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res6__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res6__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res6__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 +csp_sm3_res7__air,energy,csp_sm3_ppl,220,0,2015 +csp_sm3_res7__cl_fresh,energy,csp_sm3_ppl,100,0,2015 +csp_sm3_res7__ot_fresh,energy,csp_sm3_ppl,0.4,0,2015 +csp_sm3_res7__ot_saline,energy,csp_sm3_ppl,0.3,0,2015 diff --git a/message_ix_models/data/water/.gitattributes b/message_ix_models/data/water/.gitattributes index b67374aacd..26afcd08fb 100644 --- a/message_ix_models/data/water/.gitattributes +++ b/message_ix_models/data/water/.gitattributes @@ -1,4 +1,2 @@ *.shp filter=lfs diff=lfs merge=lfs -text *.Rda filter=lfs diff=lfs merge=lfs -text -*.csv filter=lfs diff=lfs merge=lfs -text -ppl_cooling_tech/*.csv filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/message_ix_models/data/water/availability/e-flow_2p6_R11.csv b/message_ix_models/data/water/availability/e-flow_2p6_R11.csv index 46fd585db1..378c8cc967 100644 --- a/message_ix_models/data/water/availability/e-flow_2p6_R11.csv +++ b/message_ix_models/data/water/availability/e-flow_2p6_R11.csv @@ -1,3 +1,211 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4c1090efb8aab840ceac2a468bf240d442ce4d9df3f3eb41c8a739ca4729d219 -size 71360 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diff --git a/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_R12.csv b/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_R12.csv index 165e0e69be..4fa321df48 100644 --- a/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_R12.csv +++ b/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:72071600eedeb9ec1e79381d002e5aa16a4de1e172efb8c7ea5c371a5c69595b -size 869472 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diff --git a/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_ZMB.csv b/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_ZMB.csv index 879de9936d..8b59d9997d 100644 --- a/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_ZMB.csv +++ b/message_ix_models/data/water/availability/e-flow_5y_m_no_climate_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1ae6a78ca339c43e34fdf909af91b3d81e5576c6f12bafbf9648895c6a1a2ae3 -size 111166 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Interior","AFR",6,74.3231876108139,863900.710817653,"6|AFR",6,14.5165624479531,0.0014,0.00383561643835616 +"Africa West Coast - AFR","Africa West Coast","AFR",7,67.7179480852184,822675.54975777,"7|AFR",7,13.3953421648721,0.00129,0.00353424657534247 +"Africa West Coast - AFR","Africa West Coast","AFR",8,16.0126982856018,195431.122629738,"8|AFR",8,12.7669232150734,0.00123,0.00336986301369863 +"Angola Coast - AFR","Angola Coast","AFR",13,42.1327279253483,506476.213575093,"13|AFR",9,36.1762816983295,0.00349,0.00956164383561644 +"Congo - AFR","Congo","AFR",38,301.212562587614,3688579.83075963,"38|AFR",10,17.3670320192197,0.00168,0.0046027397260274 +"Gulf of Guinea - AFR","Gulf of Guinea","AFR",57,57.632405189845,707835.222908555,"57|AFR",11,15.4907429629932,0.0015,0.00410958904109589 +"Lake Chad - AFR","Lake Chad","AFR",78,189.088708065506,2244982.26774017,"78|AFR",12,25.4305747710408,0.00245,0.00671232876712329 +"Limpopo - AFR","Limpopo","AFR",80,36.3424229425402,411554.731175708,"80|AFR",13,38.5370943624715,0.00372,0.0101917808219178 +"Madagascar - AFR","Madagascar","AFR",82,51.0514787938284,592819.418887292,"82|AFR",14,26.11087112802,0.00252,0.0069041095890411 +"Namibia Coast - AFR","Namibia Coast","AFR",92,22.8331448896133,260117.79685527,"92|AFR",15,107.273347300102,0.01035,0.0283561643835616 +"Niger - AFR","Niger","AFR",95,163.279157154973,1954323.88325475,"95|AFR",16,20.0550263965083,0.00194,0.00531506849315069 +"Nile - AFR","Nile","AFR",96,69.5744606687538,848882.4077457,"96|AFR",17,32.076269380475,0.0031,0.00849315068493151 +"Orange - AFR","Orange","AFR",107,89.098734322597,975747.978369644,"107|AFR",18,46.1725523429844,0.00446,0.0122191780821918 +"Rift Valley - AFR","Rift Valley","AFR",121,52.696041266305,642737.024116911,"121|AFR",19,39.1041863246038,0.00377,0.0103287671232877 +"Senegal - AFR","Senegal","AFR",129,38.3804341618996,456422.165841646,"129|AFR",20,21.7204845225947,0.0021,0.00575342465753425 +"Shebelli Juba - AFR","Shebelli Juba","AFR",130,64.7629318145584,794459.122507797,"130|AFR",21,30.4408079301299,0.00294,0.00805479452054795 +"South Africa South Coast - AFR","South Africa South Coast","AFR",135,37.8481728790551,402661.737993571,"135|AFR",22,56.9822126557326,0.0055,0.0150684931506849 +"South Africa West Coast - AFR","South Africa West Coast","AFR",136,10.5490834262764,110986.621626996,"136|AFR",23,74.6930885103159,0.00721,0.0197534246575342 +"Volta - AFR","Volta","AFR",158,33.9583703017424,410993.756248921,"158|AFR",24,15.0132713644235,0.00145,0.00397260273972603 +"Zambezi - AFR","Zambezi","AFR",161,115.445279043949,1373243.10573904,"161|AFR",25,21.2726396597479,0.00205,0.00561643835616438 +"Amur - CPA","Amur","CPA",11,148.389743334373,1240189.46233942,"11|CPA",26,9.72906091391124,0.00094,0.00257534246575342 +"China Coast - CPA","China Coast","CPA",35,35.2353828131729,370017.172369047,"35|CPA",27,25.5739789369369,0.00247,0.00676712328767123 +"Ganges Bramaputra - CPA","Ganges Bramaputra","CPA",53,29.3564694109351,315782.155003207,"53|CPA",28,69.9159741171976,0.00675,0.0184931506849315 +"Gobi Interior - CPA","Gobi Interior","CPA",54,209.484425664921,1852165.81703544,"54|CPA",29,15.0340643463254,0.00145,0.00397260273972603 +"Gulf of Thailand Coast Chao Phraya - CPA","Gulf of Thailand Coast Chao Phraya","CPA",59,3.35222922344818,40586.4646767074,"59|CPA",30,13.7921205935581,0.00133,0.00364383561643836 +"Hainan - CPA","Hainan","CPA",60,2.9345291350748,34161.7683490367,"60|CPA",31,27.362700712919,0.00264,0.00723287671232877 +"Hong Red River Xun Jiang South China Sea Coast - CPA","Hong Red River Xun Jiang South China Sea Coast","CPA",61,67.2865971970751,759908.086292201,"61|CPA",32,40.8477036695626,0.00394,0.0107945205479452 +"Huang He - CPA","Huang He","CPA",62,97.594462906143,963359.282520628,"62|CPA",33,37.9865113708243,0.00367,0.0100547945205479 +"Indus - CPA","Indus","CPA",67,9.17249071513942,95601.7096913068,"67|CPA",34,38.0931418506757,0.00368,0.0100821917808219 +"Irrawaddy Salween Sittang - CPA","Irrawaddy Salween Sittang","CPA",70,14.6906162822421,158257.727003225,"70|CPA",35,61.2532256328187,0.00591,0.0161917808219178 +"Lake Balkash - CPA","Lake Balkash","CPA",77,8.70744715683831,77304.9437385897,"77|CPA",36,37.4227479698481,0.00361,0.00989041095890411 +"Mekong - CPA","Mekong","CPA",88,48.8305883001017,563659.426441573,"88|CPA",37,35.7548645399759,0.00345,0.00945205479452055 +"North and South Korea Bo Hai Korean Bay North Coast - CPA","North and South Korea Bo Hai Korean Bay North Coast","CPA",98,45.5204298020154,420357.959354959,"98|CPA",38,21.659120912148,0.00209,0.00572602739726027 +"Ob - CPA","Ob","CPA",105,11.8993746479092,100049.474331047,"105|CPA",39,23.6170278199949,0.00228,0.00624657534246575 +"Plateau of Tibet Interior - CPA","Plateau of Tibet Interior","CPA",118,38.1344451212444,398525.040794704,"118|CPA",40,20.9379682691214,0.00202,0.00553424657534247 +"Russia South East Coast - CPA","Russia South East Coast","CPA",123,5.49676242067795,49902.0966368428,"123|CPA",41,32.2002429938078,0.00311,0.00852054794520548 +"Tarim Interior - CPA","Tarim Interior","CPA",148,163.251571134167,1583756.50134361,"148|CPA",42,24.0974290992612,0.00233,0.00638356164383562 +"Vietnam Coast - CPA","Vietnam Coast","CPA",156,16.2341848847057,192524.548362678,"156|CPA",43,32.4124289929857,0.00313,0.00857534246575343 +"Yangtze - CPA","Yangtze","CPA",159,180.676811876093,1922680.37228977,"159|CPA",44,41.9585758295902,0.00405,0.0110958904109589 +"Yenisey - CPA","Yenisey","CPA",160,40.2456290576695,327652.619005671,"160|CPA",45,21.0675443823344,0.00203,0.00556164383561644 +"Ziya He Interior - CPA","Ziya He Interior","CPA",162,35.7119909692258,342529.496351531,"162|CPA",46,22.4979403515398,0.00217,0.00594520547945205 +"Adriatic Sea Greece Black Sea Coast - EEU","Adriatic Sea Greece Black Sea Coast","EEU",0,19.014028406363,173360.131117452,"0|EEU",47,39.0720478898754,0.00377,0.0103287671232877 +"Danube - EEU","Danube","EEU",39,70.9081932051216,611033.580717153,"39|EEU",48,29.6301445835706,0.00286,0.00783561643835617 +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","EEU",48,6.25878155054862,50029.5402654319,"48|EEU",49,35.6614784535789,0.00344,0.00942465753424658 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","EEU",106,67.7775206585273,495681.712643732,"106|EEU",50,11.8273150982429,0.00114,0.00312328767123288 +"Amu Darya - FSU","Amu Darya","FSU",10,68.686585376517,638906.573770219,"10|FSU",51,25.1885612030132,0.00243,0.00665753424657534 +"Amur - FSU","Amur","FSU",11,129.324535564896,1005818.45008491,"11|FSU",52,14.8384908322935,0.00143,0.00391780821917808 +"Arctic Ocean Islands - FSU","Arctic Ocean Islands","FSU",16,30.9171660118481,95057.5876321176,"16|FSU",53,16.0822055245354,0.00155,0.00424657534246575 +"Barents Sea Coast Northern Dvina - FSU","Barents Sea Coast Northern Dvina","FSU",23,184.358189312229,989916.066022257,"23|FSU",54,5.32563717396664,0.00051,0.0013972602739726 +"Black Sea North Coast - FSU","Black Sea North Coast","FSU",25,20.7642877980695,179793.206147971,"25|FSU",55,23.544571627977,0.00227,0.00621917808219178 +"Black Sea South Coast - FSU","Black Sea South Coast","FSU",26,3.49525223191757,31887.7223126976,"26|FSU",56,58.3161452154957,0.00563,0.0154246575342466 +"Caspian Sea East Coast - FSU","Caspian Sea East Coast","FSU",30,55.5012210522005,526067.152495628,"30|FSU",57,21.2864013026226,0.00205,0.00561643835616438 +"Caspian Sea South West Coast - FSU","Caspian Sea South West Coast","FSU",31,37.2769810296996,338404.567356661,"31|FSU",58,33.9379570336351,0.00328,0.00898630136986301 +"Danube - FSU","Danube","FSU",39,4.98679560198438,41698.2760108575,"39|FSU",59,41.8706415103156,0.00404,0.0110684931506849 +"Dnieper - FSU","Dnieper","FSU",42,66.0031048674932,511732.109698435,"42|FSU",60,13.6330957772102,0.00132,0.00361643835616438 +"Dniester Black Sea North Coast - FSU","Dniester Black Sea North Coast","FSU",43,19.704362857193,162733.918605575,"43|FSU",61,32.4695459126054,0.00313,0.00857534246575343 +"Don - FSU","Don","FSU",44,54.9466645028793,439101.261444294,"44|FSU",62,26.3826016829637,0.00255,0.00698630136986301 +"Finland Neva - FSU","Finland Neva","FSU",51,38.1076876351193,234074.124175411,"51|FSU",63,8.61726789478462,0.00083,0.00227397260273973 +"Gobi Interior - FSU","Gobi Interior","FSU",54,3.15237623201684,24997.2544078962,"54|FSU",64,24.0143584794701,0.00232,0.00635616438356164 +"Japan - FSU","Japan","FSU",71,0.745367978910006,6531.47363726511,"71|FSU",65,30.4007650479696,0.00293,0.00802739726027397 +"Kara Sea Coast - FSU","Kara Sea Coast","FSU",74,142.428525718592,672073.41803226,"74|FSU",66,3.57301502544464,0.00034,0.000931506849315069 +"Lake Balkash - FSU","Lake Balkash","FSU",77,46.6810416786152,401878.021749035,"77|FSU",67,17.9235662578572,0.00173,0.00473972602739726 +"Lena - FSU","Lena","FSU",79,417.75331905278,2477735.6443715,"79|FSU",68,16.3739664579831,0.00158,0.00432876712328767 +"Ob - FSU","Ob","FSU",105,442.00964162264,3002628.16594503,"105|FSU",69,4.61217177729769,0.00045,0.00123287671232877 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","FSU",106,27.2775693313409,192320.114728868,"106|FSU",70,8.70911709840953,0.00084,0.0023013698630137 +"Russia South East Coast - FSU","Russia South East Coast","FSU",123,13.1847765044335,111164.148936144,"123|FSU",71,25.5166310860599,0.00246,0.00673972602739726 +"Scandinavia North Coast - FSU","Scandinavia North Coast","FSU",127,47.8203762256698,236144.046628967,"127|FSU",72,12.5283632544845,0.00121,0.00331506849315068 +"Siberia North Coast - FSU","Siberia North Coast","FSU",131,314.896307410122,1204021.88291073,"131|FSU",73,9.1340799544951,0.00088,0.00241095890410959 +"Siberia West Coast - FSU","Siberia West Coast","FSU",132,577.150121923741,3030293.70139549,"132|FSU",74,18.0420590134568,0.00174,0.00476712328767123 +"Syr Darya - FSU","Syr Darya","FSU",146,120.171098561325,1039662.16780112,"146|FSU",75,19.2838090191012,0.00186,0.0050958904109589 +"Tarim Interior - FSU","Tarim Interior","FSU",148,2.80904655064767,26147.6632795119,"148|FSU",76,43.4219960406126,0.00419,0.0114794520547945 +"Ural Caspian Sea Coast - FSU","Ural Caspian Sea Coast","FSU",154,89.8753578314569,735663.518828763,"154|FSU",77,10.3522589378624,0.001,0.00273972602739726 +"Volga - FSU","Volga","FSU",157,203.598695197411,1410759.65307498,"157|FSU",78,10.0340472412786,0.00097,0.00265753424657534 +"Yenisey - FSU","Yenisey","FSU",160,349.074141761686,2190490.67482451,"160|FSU",79,12.9695905353107,0.00125,0.00342465753424658 +"Amazon - LAM","Amazon","LAM",9,486.780402683812,5925340.76088454,"9|LAM",80,12.9613093984687,0.00125,0.00342465753424658 +"California - LAM","California","LAM",27,12.2770992915893,133749.326140125,"27|LAM",81,68.5043837198021,0.00661,0.0181095890410959 +"Caribbean - LAM","Caribbean","LAM",28,18.2195526049771,210085.44469636,"28|LAM",82,23.1282789260171,0.00223,0.00610958904109589 +"Carribean Coast - LAM","Carribean Coast","LAM",29,28.185097172459,342219.993346387,"29|LAM",83,28.8423225261655,0.00278,0.00761643835616438 +"Central America Carribean Coast - LAM","Central America Carribean Coast","LAM",32,77.4409555190903,906227.484068446,"32|LAM",84,26.2735499991429,0.00254,0.00695890410958904 +"Central America Pacific Coast - LAM","Central America Pacific Coast","LAM",33,77.732012135345,886386.017761382,"33|LAM",85,50.2974162874367,0.00485,0.0132876712328767 +"Columbia Ecuador Pacific Coast - LAM","Columbia Ecuador Pacific Coast","LAM",37,16.8847278049203,207399.927897362,"37|LAM",86,32.9664218719273,0.00318,0.00871232876712329 +"East Brazil South Atlantic Coast - LAM","East Brazil South Atlantic Coast","LAM",46,23.3233391301031,285367.670890867,"46|LAM",87,22.8716922671853,0.00221,0.00605479452054795 +"La Plata - LAM","La Plata","LAM",75,235.108252144959,2659219.12283955,"75|LAM",88,17.1103937177341,0.00165,0.00452054794520548 +"La Puna Region - LAM","La Puna Region","LAM",76,28.3290952641835,326103.029843302,"76|LAM",89,59.1335951220294,0.00571,0.0156438356164384 +"Magdalena - LAM","Magdalena","LAM",83,21.2355824515739,259587.072441182,"83|LAM",90,33.4671274510951,0.00323,0.00884931506849315 +"Mar Chiquita Salinas Grandes - LAM","Mar Chiquita Salinas Grandes","LAM",84,28.695035059693,307893.829004607,"84|LAM",91,29.8267833001803,0.00288,0.00789041095890411 +"Negro Central Patagonia South Argentina South Atlantic Coast - LAM","Negro Central Patagonia South Argentina South Atlantic Coast","LAM",93,79.9493474968814,705672.62120951,"93|LAM",92,50.2590609785635,0.00485,0.0132876712328767 +"North America Colorado - LAM","North America Colorado","LAM",97,1.37315927638378,14428.0988413646,"97|LAM",93,44.0203252467382,0.00425,0.0116438356164384 +"North Brazil South Atlantic Coast - LAM","North Brazil South Atlantic Coast","LAM",99,22.0145214361553,270247.011565055,"99|LAM",94,12.2433412777968,0.00118,0.00323287671232877 +"North Chile Pacific Coast - LAM","North Chile Pacific Coast","LAM",100,39.1600823261892,413908.774428511,"100|LAM",95,78.3111804481243,0.00756,0.0207123287671233 +"North East South America South Atlantic Coast - LAM","North East South America South Atlantic Coast","LAM",101,45.7365738722134,561127.334257519,"101|LAM",96,9.73151434034743,0.00094,0.00257534246575342 +"Orinoco - LAM","Orinoco","LAM",108,76.5678036098983,937326.639238973,"108|LAM",97,13.0908149637583,0.00126,0.00345205479452055 +"Pampas Region North Argentina South Atlantic Coast - LAM","Pampas Region North Argentina South Atlantic Coast","LAM",111,39.3480509780457,391688.587559004,"111|LAM",98,6.96598995211175,0.00067,0.00183561643835616 +"Parnaiba - LAM","Parnaiba","LAM",113,27.1566752264172,331490.653414183,"113|LAM",99,26.3686376763264,0.00254,0.00695890410958904 +"Peru Pacific Coast - LAM","Peru Pacific Coast","LAM",116,24.1749852346672,290682.114318487,"116|LAM",100,79.8765531356629,0.00771,0.0211232876712329 +"Rio Grande Mexico Interior - LAM","Rio Grande Mexico Interior","LAM",122,45.9898300228235,503794.099316689,"122|LAM",101,52.8376395711978,0.0051,0.013972602739726 +"Sao Francisco - LAM","Sao Francisco","LAM",125,53.0928926249751,634831.294103836,"125|LAM",102,20.8843233868857,0.00202,0.00553424657534247 +"Soth Chile Pacific Coast - LAM","Soth Chile Pacific Coast","LAM",134,0.647677240518081,7971.80286133216,"134|LAM",103,43.2717161255122,0.00418,0.0114520547945205 +"South America Colorado - LAM","South America Colorado","LAM",137,39.4135096723345,400825.377308938,"137|LAM",104,50.9985188866949,0.00492,0.0134794520547945 +"South Chile Pacific Coast - LAM","South Chile Pacific Coast","LAM",139,39.789527232331,323444.133040015,"139|LAM",105,54.6620958745946,0.00528,0.0144657534246575 +"Tocantins - LAM","Tocantins","LAM",152,79.3283003380906,959983.755258664,"152|LAM",106,12.2911571862447,0.00119,0.00326027397260274 +"Uruguay Brazil South Atlantic Coast - LAM","Uruguay Brazil South Atlantic Coast","LAM",155,107.977548150754,1207149.81288145,"155|LAM",107,26.5339652581891,0.00256,0.00701369863013699 +"Africa North Interior - MEA","Africa North Interior","MEA",3,392.331253830793,4307472.99211422,"3|MEA",108,50.5548357149002,0.00488,0.0133698630136986 +"Africa North West Coast - MEA","Africa North West Coast","MEA",4,48.27449617778,523691.655466494,"4|MEA",109,54.4207416201906,0.00525,0.0143835616438356 +"Africa Red Sea Gulf of Aden Coast - MEA","Africa Red Sea Gulf of Aden Coast","MEA",5,14.6794044685829,167557.38728701,"5|MEA",110,93.8222084332501,0.00905,0.0247945205479452 +"Arabian Peninsula - MEA","Arabian Peninsula","MEA",14,188.449826536805,2138127.15305716,"14|MEA",111,27.0018865760632,0.00261,0.00715068493150685 +"Caspian Sea East Coast - MEA","Caspian Sea East Coast","MEA",30,8.55690132404432,84782.1183667905,"30|MEA",112,52.1799987801581,0.00504,0.0138082191780822 +"Caspian Sea South West Coast - MEA","Caspian Sea South West Coast","MEA",31,18.787954338428,184874.204150633,"31|MEA",113,50.9763317938433,0.00492,0.0134794520547945 +"Central Iran - MEA","Central Iran","MEA",34,78.4046571583376,816395.315578667,"34|MEA",114,43.7702346493232,0.00422,0.0115616438356164 +"Dead Sea Eastern Jordan Syria - MEA","Dead Sea Eastern Jordan Syria","MEA",40,21.6213209092656,229199.261942839,"40|MEA",115,35.0295716599438,0.00338,0.00926027397260274 +"Farahud Hamun-i-Mashkel Helmand - MEA","Farahud Hamun-i-Mashkel Helmand","MEA",50,10.5020035781187,111204.497306477,"50|MEA",116,45.129586777692,0.00436,0.0119452054794521 +"Lake Chad - MEA","Lake Chad","MEA",78,18.695124353775,217413.538330411,"78|MEA",117,48.1082861049098,0.00464,0.0127123287671233 +"Mediterranean Sea East Coast - MEA","Mediterranean Sea East Coast","MEA",85,9.74606286306004,100987.361585762,"85|MEA",118,32.3711757388029,0.00312,0.00854794520547945 +"Mediterranean South Coast - MEA","Mediterranean South Coast","MEA",87,54.2469154046257,560741.360325022,"87|MEA",119,44.0695647516718,0.00425,0.0116438356164384 +"Niger - MEA","Niger","MEA",95,14.0178499369121,160992.837708166,"95|MEA",120,53.3703582403241,0.00515,0.0141095890410959 +"Nile - MEA","Nile","MEA",96,188.550019945325,2234557.76591728,"96|MEA",121,29.8504440569254,0.00288,0.00789041095890411 +"Persian Gulf Coast - MEA","Persian Gulf Coast","MEA",115,23.9025282987901,260549.405111984,"115|MEA",122,50.4306249392409,0.00487,0.0133424657534247 +"Red Sea East Coast - MEA","Red Sea East Coast","MEA",120,47.7058412607888,550393.099985064,"120|MEA",123,58.7722021592212,0.00567,0.0155342465753425 +"Rift Valley - MEA","Rift Valley","MEA",121,1.25555121074777,15393.8287554467,"121|MEA",124,24.7695924521899,0.00239,0.00654794520547945 +"Tigris Euphrates - MEA","Tigris Euphrates","MEA",151,71.9900819878535,743261.214281586,"151|MEA",125,24.7056368733084,0.00238,0.00652054794520548 +"Atlantic Ocean Seaboard - NAM","Atlantic Ocean Seaboard","NAM",17,89.9661669687126,700680.246616945,"17|NAM",126,12.299465643351,0.00119,0.00326027397260274 +"California - NAM","California","NAM",27,29.855168906379,289656.391070281,"27|NAM",127,41.4198834172504,0.004,0.010958904109589 +"Caribbean - NAM","Caribbean","NAM",28,0.767455212300491,8984.76246971829,"28|NAM",128,35.2042618306644,0.0034,0.00931506849315068 +"Central America Pacific Coast - NAM","Central America Pacific Coast","NAM",33,1.6827590327398,17345.2653367855,"33|NAM",129,70.5367927038238,0.00681,0.0186575342465753 +"Columbia - NAM","Columbia","NAM",36,78.2961275871422,671052.441923377,"36|NAM",130,65.6102123867021,0.00633,0.0173424657534247 +"Fraser Pacific Arctic Coast - NAM","Fraser Pacific Arctic Coast","NAM",52,90.3983315645593,664893.237097467,"52|NAM",131,50.8970414366563,0.00491,0.0134520547945205 +"Great Basin - NAM","Great Basin","NAM",55,54.5140097946934,521503.768749663,"55|NAM",132,65.3600805353582,0.00631,0.0172876712328767 +"Gulf Coast - NAM","Gulf Coast","NAM",56,43.9205275512469,464520.69804179,"56|NAM",133,16.6037993124229,0.0016,0.00438356164383562 +"Gulf of Mexico North Atlantic Coast - NAM","Gulf of Mexico North Atlantic Coast","NAM",58,68.3616058932396,711632.739850163,"58|NAM",134,7.76698433373658,0.00075,0.00205479452054795 +"Hudson Bay Coast - NAM","Hudson Bay Coast","NAM",63,227.49460069304,1639399.14112076,"63|NAM",135,3.28029454630314,0.00032,0.000876712328767123 +"Mackenzie - NAM","Mackenzie","NAM",81,301.089370402485,1805875.59838491,"81|NAM",136,11.8394024065836,0.00114,0.00312328767123288 +"Mississippi Missouri - NAM","Mississippi Missouri","NAM",90,351.645183806617,3289922.97488576,"90|NAM",137,24.7295924709512,0.00239,0.00654794520547945 +"North America Colorado - NAM","North America Colorado","NAM",97,65.1980950002856,646794.437152917,"97|NAM",138,73.0199400332584,0.00705,0.0193150684931507 +"Northwest Territories - NAM","Northwest Territories","NAM",103,688.893669129156,2967257.12238662,"103|NAM",139,11.3805325710209,0.0011,0.00301369863013699 +"Northwestern United States - NAM","Northwestern United States","NAM",104,5.00090038985021,44961.5949373347,"104|NAM",140,46.2178126550309,0.00446,0.0122191780821918 +"Pacific and Arctic Coast - NAM","Pacific and Arctic Coast","NAM",109,339.629968263513,1826024.49235586,"109|NAM",141,22.438799066938,0.00217,0.00594520547945205 +"Rio Grande Mexico Interior - NAM","Rio Grande Mexico Interior","NAM",122,33.1782110719875,344058.186312776,"122|NAM",142,57.4800128155993,0.00555,0.0152054794520548 +"Saskatchewan Nelson - NAM","Saskatchewan Nelson","NAM",126,143.521000558461,1110611.19616507,"126|NAM",143,6.36795206704572,0.00061,0.00167123287671233 +"Siberia West Coast - NAM","Siberia West Coast","NAM",132,0.280137249394989,2123.63819554413,"132|NAM",144,13.3373642798814,0.00129,0.00353424657534247 +"St. Lawrence - NAM","St. Lawrence","NAM",142,151.032035405442,1288095.359333,"142|NAM",145,8.08096410054602,0.00078,0.00213698630136986 +"United States North Atlantic Coast - NAM","United States North Atlantic Coast","NAM",153,42.7239086596139,394964.42498439,"153|NAM",146,25.3132524075471,0.00244,0.00668493150684931 +"Australia East Coast - PAO","Australia East Coast","PAO",18,62.2641789683456,673836.245623707,"18|PAO",147,29.6607204610666,0.00286,0.00783561643835617 +"Australia Interior - PAO","Australia Interior","PAO",19,295.095597586298,3293726.56622247,"19|PAO",148,22.0239963529332,0.00213,0.00583561643835616 +"Australia North Coast - PAO","Australia North Coast","PAO",20,108.420938693425,1280003.42051306,"20|PAO",149,16.7915772283219,0.00162,0.00443835616438356 +"Australia South Coast - PAO","Australia South Coast","PAO",21,45.7450223555796,479727.488022838,"21|PAO",150,36.8452702715861,0.00356,0.00975342465753425 +"Australia West Coast - PAO","Australia West Coast","PAO",22,75.8390631405067,833933.002518445,"22|PAO",151,32.4343410172402,0.00313,0.00857534246575343 +"Japan - PAO","Japan","PAO",71,38.0475068481254,372331.666071583,"71|PAO",152,35.2779681151009,0.0034,0.00931506849315068 +"Murray Darling - PAO","Murray Darling","PAO",91,100.489951587793,1054599.47347905,"91|PAO",153,20.5477012731654,0.00198,0.00542465753424658 +"New Zealand - PAO","New Zealand","PAO",94,29.2028196340705,269074.84878399,"94|PAO",154,45.8229831131719,0.00442,0.0121095890410959 +"Tasmania - PAO","Tasmania","PAO",149,7.42284523667053,68369.9489798718,"149|PAO",155,34.7551591170621,0.00335,0.00917808219178082 +"Bay of Bengal North East Coast - PAS","Bay of Bengal North East Coast","PAS",24,4.68242946384656,54084.1195590202,"24|PAS",156,40.0723323515101,0.00387,0.0106027397260274 +"Gulf of Thailand Coast Chao Phraya - PAS","Gulf of Thailand Coast Chao Phraya","PAS",59,16.330681056794,193018.177249192,"59|PAS",157,25.066801006604,0.00242,0.00663013698630137 +"Irian Jaya Coast - PAS","Irian Jaya Coast","PAS",69,66.0013142326551,808378.03538473,"69|PAS",158,23.999485402429,0.00232,0.00635616438356164 +"Irrawaddy Salween Sittang - PAS","Irrawaddy Salween Sittang","PAS",70,49.8297258521131,570226.971880858,"70|PAS",159,30.8148053660224,0.00297,0.00813698630136986 +"Java Timor - PAS","Java Timor","PAS",72,18.7374270110997,228450.784581086,"72|PAS",160,24.4941884357185,0.00236,0.00646575342465754 +"Kalimantan North Borneo Coast - PAS","Kalimantan North Borneo Coast","PAS",73,60.1276045254183,739357.606383824,"73|PAS",161,18.821078108115,0.00182,0.00498630136986301 +"Mekong - PAS","Mekong","PAS",88,17.7812242144595,209527.134238845,"88|PAS",162,15.5765076739023,0.0015,0.00410958904109589 +"North and South Korea Bo Hai Korean Bay North Coast - PAS","North and South Korea Bo Hai Korean Bay North Coast","PAS",98,10.0253528677443,99831.0475401134,"98|PAS",163,41.0074757161813,0.00396,0.0108493150684932 +"Palau East Indonesia - PAS","Palau East Indonesia","PAS",110,5.15958128580208,63407.0120213796,"110|PAS",164,33.8782755091176,0.00327,0.00895890410958904 +"Papua New Guinea Coast - PAS","Papua New Guinea Coast","PAS",112,4.45717639398788,54590.5433353988,"112|PAS",165,22.8170481677634,0.0022,0.00602739726027397 +"Peninsula Malaysia - PAS","Peninsula Malaysia","PAS",114,23.5616435487905,286682.089429954,"114|PAS",166,21.7870407718934,0.0021,0.00575342465753425 +"Philippines - PAS","Philippines","PAS",117,24.5103486934322,294934.045002804,"117|PAS",167,30.8017626373071,0.00297,0.00813698630136986 +"Solomon Islands - PAS","Solomon Islands","PAS",133,2.99931469701944,36542.9713413,"133|PAS",168,31.0356113330485,0.003,0.00821917808219178 +"South Pacific Islands - PAS","South Pacific Islands","PAS",140,4.26259632327691,49768.692118861,"140|PAS",169,22.9375319914086,0.00221,0.00605479452054795 +"Sulawesi - PAS","Sulawesi","PAS",143,15.519024396104,190783.501590708,"143|PAS",170,36.2299131295234,0.0035,0.00958904109589041 +"Sumatra - PAS","Sumatra","PAS",144,38.392517943076,471999.246228484,"144|PAS",171,15.6585760527844,0.00151,0.00413698630136986 +"Taiwan - PAS","Taiwan","PAS",147,3.21093858580542,36252.1186648962,"147|PAS",172,44.3455140243129,0.00428,0.0117260273972603 +"Amu Darya - SAS","Amu Darya","SAS",10,16.7518985530722,166771.464109163,"10|SAS",173,61.7499012400961,0.00596,0.0163287671232877 +"Andaman Nicobar Islands - SAS","Andaman Nicobar Islands","SAS",12,0.611597628153476,7382.90877836589,"12|SAS",174,23.9786879911693,0.00231,0.00632876712328767 +"Arabian Sea Coast - SAS","Arabian Sea Coast","SAS",15,3.13841029150262,34845.0664634199,"15|SAS",175,46.0758328715436,0.00445,0.0121917808219178 +"Bay of Bengal North East Coast - SAS","Bay of Bengal North East Coast","SAS",24,3.56922846927027,40602.9640624049,"24|SAS",176,23.0767288914848,0.00223,0.00610958904109589 +"Caspian Sea East Coast - SAS","Caspian Sea East Coast","SAS",30,7.64529672859731,77637.2256248934,"30|SAS",177,55.7369244457038,0.00538,0.0147397260273973 +"Farahud Hamun-i-Mashkel Helmand - SAS","Farahud Hamun-i-Mashkel Helmand","SAS",50,42.9974148699318,454051.157894415,"50|SAS",178,44.7383823679145,0.00432,0.0118356164383562 +"Ganges Bramaputra - SAS","Ganges Bramaputra","SAS",53,114.573620263346,1265279.17542597,"53|SAS",179,28.163879381306,0.00272,0.00745205479452055 +"India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS","India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai","SAS",65,106.089050881934,1240076.77861252,"65|SAS",180,18.2129335812299,0.00176,0.00482191780821918 +"India West Coast Tapti Narmada Mahi - SAS","India West Coast Tapti Narmada Mahi","SAS",66,27.1958463513547,315053.638475558,"66|SAS",181,22.3774130134796,0.00216,0.00591780821917808 +"Indus - SAS","Indus","SAS",67,73.6337703233238,768342.18343615,"67|SAS",182,48.5257658282544,0.00468,0.0128219178082192 +"Irrawaddy Salween Sittang - SAS","Irrawaddy Salween Sittang","SAS",70,1.56435003352902,17483.7867817002,"70|SAS",183,54.0461663542162,0.00522,0.0143013698630137 +"Persian Gulf Coast - SAS","Persian Gulf Coast","SAS",115,7.34503982196274,81273.2807386681,"115|SAS",184,50.121822020366,0.00484,0.0132602739726027 +"Sabarmati - SAS","Sabarmati","SAS",124,47.4389449412616,525238.965513579,"124|SAS",185,13.7402954615959,0.00133,0.00364383561643836 +"Sri Lanka - SAS","Sri Lanka","SAS",141,5.3998273756006,65886.881826475,"141|SAS",186,17.5785190407128,0.0017,0.00465753424657534 +"Tarim Interior - SAS","Tarim Interior","SAS",148,0.212744215831223,2118.01341964893,"148|SAS",187,97.8526232397254,0.00944,0.0258630136986301 +"Adriatic Sea Greece Black Sea Coast - WEU","Adriatic Sea Greece Black Sea Coast","WEU",0,16.6019959370146,158492.060537312,"0|WEU",188,38.1519068240467,0.00368,0.0100821917808219 +"Africa North West Coast - WEU","Africa North West Coast","WEU",4,0.772579756796993,8357.74871883614,"4|WEU",189,62.4170941113314,0.00602,0.0164931506849315 +"Arctic Ocean Islands - WEU","Arctic Ocean Islands","WEU",16,657.836156018585,2148129.87488679,"16|WEU",190,5.04582157857329,0.00049,0.00134246575342466 +"Black Sea South Coast - WEU","Black Sea South Coast","WEU",26,33.5251526550889,318487.994482144,"26|WEU",191,50.0898697757783,0.00483,0.0132328767123288 +"Caspian Sea South West Coast - WEU","Caspian Sea South West Coast","WEU",31,3.11997365813681,29504.5044260304,"31|WEU",192,39.4244087888234,0.0038,0.0104109589041096 +"Danube - WEU","Danube","WEU",39,16.7560367991001,139184.600958488,"39|WEU",193,39.8282976126149,0.00384,0.0105205479452055 +"Denmark Germany Coast - WEU","Denmark Germany Coast","WEU",41,10.4649057792896,74239.2246396063,"41|WEU",194,6.66836881575966,0.00064,0.00175342465753425 +"Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU","Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast","WEU",45,42.4007501017728,400738.956550463,"45|WEU",195,40.0301682412509,0.00386,0.0105753424657534 +"Ebro Spain France South Coast Rhone - WEU","Ebro Spain France South Coast Rhone","WEU",47,34.0188868304296,310132.626420233,"47|WEU",196,42.3574546706559,0.00409,0.0112054794520548 +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","WEU",48,96.2848296726085,783666.528722479,"48|WEU",197,20.2574738728099,0.00196,0.00536986301369863 +"England Wales Scotland - WEU","England Wales Scotland","WEU",49,31.5156620259717,229390.171236448,"49|WEU",198,21.7659210967329,0.0021,0.00575342465753425 +"Finland Neva - WEU","Finland Neva","WEU",51,52.7648613175819,289746.372656555,"51|WEU",199,11.2954684550453,0.00109,0.00298630136986301 +"Iceland - WEU","Iceland","WEU",64,19.3621272616206,101871.903033485,"64|WEU",200,16.8529910127685,0.00163,0.00446575342465753 +"Ireland - WEU","Ireland","WEU",68,11.40036611847,84328.9691683287,"68|WEU",201,16.7191348850868,0.00161,0.00441095890410959 +"Mediterranean Sea East Coast - WEU","Mediterranean Sea East Coast","WEU",85,23.1813741346407,226182.637087686,"85|WEU",202,46.0305734929158,0.00444,0.0121643835616438 +"Mediterranean Sea Islands - WEU","Mediterranean Sea Islands","WEU",86,6.67917613655111,63898.6746765254,"86|WEU",203,49.2507909120646,0.00475,0.013013698630137 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","WEU",106,0.756517277712933,5719.72716463104,"106|WEU",204,11.2295735699971,0.00108,0.00295890410958904 +"Po Italy East Coast - WEU","Po Italy East Coast","WEU",119,18.8141496434852,166461.512041307,"119|WEU",205,36.5714270781992,0.00353,0.00967123287671233 +"Scandinavia North Coast - WEU","Scandinavia North Coast","WEU",127,64.1489281596315,337117.202014231,"127|WEU",206,34.0823318867467,0.00329,0.00901369863013699 +"Scotland - WEU","Scotland","WEU",128,0.225419636540737,1385.15060460695,"128|WEU",207,22.6790631913198,0.00219,0.006 +"Sweden - WEU","Sweden","WEU",145,84.699837642,478577.508515245,"145|WEU",208,19.7181703422771,0.0019,0.00520547945205479 +"Tiber Italy West Coast - WEU","Tiber Italy West Coast","WEU",150,9.34515516858358,86211.9260586064,"150|WEU",209,38.2743680931862,0.00369,0.0101095890410959 +"Tigris Euphrates - WEU","Tigris Euphrates","WEU",151,19.8155830410531,192100.93829125,"151|WEU",210,44.6098903239118,0.00431,0.0118082191780822 diff --git a/message_ix_models/data/water/availability/gw_energy_intensity_depth_R12.csv b/message_ix_models/data/water/availability/gw_energy_intensity_depth_R12.csv index f53ff94a8e..43a964b7a7 100644 --- a/message_ix_models/data/water/availability/gw_energy_intensity_depth_R12.csv +++ b/message_ix_models/data/water/availability/gw_energy_intensity_depth_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f14725d44ed022ffc69c210c99e2f78d151f69bfef65b131de02fe8cfc9ef5cb -size 33158 +"NAME","BASIN","REGION","BASIN_ID","area","area_km2","BCU_name","id","table_depth_m","GW_per_MCM_per_day","GW_per_km3_per_year" +"Africa East Central Coast - AFR","Africa East Central Coast","AFR",1,85.6407192708847,1037883.57457206,"1|AFR",1,21.3867882200949,0.00206,0.00564383561643836 +"Africa Indian Ocean Coast - AFR","Africa Indian Ocean Coast","AFR",2,21.1274091566919,243899.943980057,"2|AFR",2,21.9323192681709,0.00212,0.00580821917808219 +"Africa North Interior - AFR","Africa North Interior","AFR",3,105.216562217766,1209639.3792132,"3|AFR",3,33.9497439060849,0.00328,0.00898630136986301 +"Africa North West Coast - AFR","Africa North West Coast","AFR",4,25.6873406556006,298426.823374682,"4|AFR",4,33.8641297455104,0.00327,0.00895890410958904 +"Africa Red Sea Gulf of Aden Coast - AFR","Africa Red Sea Gulf of Aden Coast","AFR",5,48.304441467967,585874.354092506,"5|AFR",5,49.4595712985562,0.00477,0.0130684931506849 +"Africa South Interior - AFR","Africa South Interior","AFR",6,74.3232435534603,863903.144677722,"6|AFR",6,14.5440118451758,0.0014,0.00383561643835616 +"Africa West Coast - AFR","Africa West Coast","AFR",7,67.7207484004699,822709.492280389,"7|AFR",7,13.3912839705557,0.00129,0.00353424657534247 +"Africa West Coast - AFR","Africa West Coast","AFR",8,16.0127118248886,195431.288593632,"8|AFR",8,12.7669232150734,0.00123,0.00336986301369863 +"Angola Coast - AFR","Angola Coast","AFR",13,42.1350652928656,506503.729172051,"13|AFR",9,36.1927486602396,0.00349,0.00956164383561644 +"Congo - AFR","Congo","AFR",38,301.20346994946,3688468.87952337,"38|AFR",10,17.3660256183791,0.00168,0.0046027397260274 +"Gulf of Guinea - AFR","Gulf of Guinea","AFR",57,57.6331317885869,707844.131026168,"57|AFR",11,15.5141973798173,0.0015,0.00410958904109589 +"Lake Chad - AFR","Lake Chad","AFR",78,189.082585256174,2245019.2153342,"78|AFR",12,25.4530950482513,0.00246,0.00673972602739726 +"Limpopo - AFR","Limpopo","AFR",80,36.3407949546168,411537.149830089,"80|AFR",13,38.543672435695,0.00372,0.0101917808219178 +"Madagascar - AFR","Madagascar","AFR",82,51.0511559229043,592815.646554964,"82|AFR",14,26.11087112802,0.00252,0.0069041095890411 +"Namibia Coast - AFR","Namibia Coast","AFR",92,22.8332512068323,260119.130274544,"92|AFR",15,107.305211458504,0.01036,0.0283835616438356 +"Niger - AFR","Niger","AFR",95,163.275560520987,1954311.59053418,"95|AFR",16,20.0535060171639,0.00194,0.00531506849315069 +"Nile - AFR","Nile","AFR",96,69.5750616463425,848888.285966385,"96|AFR",17,32.1073469854614,0.0031,0.00849315068493151 +"Orange - AFR","Orange","AFR",107,89.0928294768919,975683.02767157,"107|AFR",18,46.1713249344998,0.00446,0.0122191780821918 +"Rift Valley - AFR","Rift Valley","AFR",121,52.691470748962,642681.064563093,"121|AFR",19,39.0721401159446,0.00377,0.0103287671232877 +"Senegal - AFR","Senegal","AFR",129,38.3770506415186,456381.40875559,"129|AFR",20,21.7383320450172,0.0021,0.00575342465753425 +"Shebelli Juba - AFR","Shebelli Juba","AFR",130,64.7610768117536,794436.545225901,"130|AFR",21,30.4644729590513,0.00294,0.00805479452054795 +"South Africa South Coast - AFR","South Africa South Coast","AFR",135,37.8396373396322,402570.386649233,"135|AFR",22,57.0001667562511,0.0055,0.0150684931506849 +"South Africa West Coast - AFR","South Africa West Coast","AFR",136,10.5469357475168,110964.506621829,"136|AFR",23,74.6930885103159,0.00721,0.0197534246575342 +"Volta - AFR","Volta","AFR",158,33.958874978699,410999.801449514,"158|AFR",24,14.9801583521153,0.00145,0.00397260273972603 +"Zambezi - AFR","Zambezi","AFR",161,115.441817038754,1373200.90839793,"161|AFR",25,21.2700271196027,0.00205,0.00561643835616438 +"Amur - CHN","Amur","CHN",11,118.195176436825,988839.351250819,"11|CHN",26,9.93526515582298,0.00096,0.00263013698630137 +"China Coast - CHN","China Coast","CHN",35,35.2314586262084,369974.818192495,"35|CHN",27,25.5492486937545,0.00247,0.00676712328767123 +"Ganges Bramaputra - CHN","Ganges Bramaputra","CHN",53,29.3593869905682,315813.627336444,"53|CHN",28,69.8986852905295,0.00675,0.0184931506849315 +"Gobi Interior - CHN","Gobi Interior","CHN",54,96.4139399982324,876111.696252717,"54|CHN",29,19.1846225300374,0.00185,0.00506849315068493 +"Hainan - CHN","Hainan","CHN",60,2.93450163815911,34161.4498569053,"60|CHN",30,27.362700712919,0.00264,0.00723287671232877 +"Hong Red River Xun Jiang South China Sea Coast - CHN","Hong Red River Xun Jiang South China Sea Coast","CHN",61,57.905352536406,652476.224748953,"61|CHN",31,40.2569942514472,0.00389,0.0106575342465753 +"Huang He - CHN","Huang He","CHN",62,97.5892706376052,963305.893215729,"62|CHN",32,37.9868884925052,0.00367,0.0100547945205479 +"Indus - CHN","Indus","CHN",67,9.17213900089549,95598.0224345673,"67|CHN",33,38.0931418506757,0.00368,0.0100821917808219 +"Irrawaddy Salween Sittang - CHN","Irrawaddy Salween Sittang","CHN",70,14.6895956733614,158244.336325541,"70|CHN",34,61.2134864078239,0.00591,0.0161917808219178 +"Lake Balkash - CHN","Lake Balkash","CHN",77,8.70989113807568,77327.3230004988,"77|CHN",35,37.4227479698481,0.00361,0.00989041095890411 +"Mekong - CHN","Mekong","CHN",88,15.1320318706171,164746.578075919,"88|CHN",36,60.9178857683419,0.00588,0.0161095890410959 +"North and South Korea Bo Hai Korean Bay North Coast - CHN","North and South Korea Bo Hai Korean Bay North Coast","CHN",98,34.4220451116315,314886.585845333,"98|CHN",37,16.7323298214518,0.00161,0.00441095890410959 +"Ob - CHN","Ob","CHN",105,10.5629417985277,88732.8256035276,"105|CHN",38,21.5016969175995,0.00208,0.0056986301369863 +"Plateau of Tibet Interior - CHN","Plateau of Tibet Interior","CHN",118,38.1352866146846,398534.121714659,"118|CHN",39,20.9379682691214,0.00202,0.00553424657534247 +"Russia South East Coast - CHN","Russia South East Coast","CHN",123,3.64312013899045,32831.9680093301,"123|CHN",40,27.5416991655301,0.00266,0.00728767123287671 +"Tarim Interior - CHN","Tarim Interior","CHN",148,163.252847065068,1583765.90012104,"148|CHN",41,24.0904896071082,0.00232,0.00635616438356164 +"Yangtze - CHN","Yangtze","CHN",159,180.674341349942,1922652.30883649,"159|CHN",42,41.9537607510889,0.00405,0.0110958904109589 +"Ziya He Interior - CHN","Ziya He Interior","CHN",162,35.715381627626,342560.63818529,"162|CHN",43,22.4918466273646,0.00217,0.00594520547945205 +"Adriatic Sea Greece Black Sea Coast - EEU","Adriatic Sea Greece Black Sea Coast","EEU",0,19.0144206024552,173363.569610449,"0|EEU",44,39.0720478898754,0.00377,0.0103287671232877 +"Danube - EEU","Danube","EEU",39,70.9082872950923,611034.203723855,"39|EEU",45,29.6301445835706,0.00286,0.00783561643835617 +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","EEU",48,6.26004336871745,50039.7704306199,"48|EEU",46,35.6614784535789,0.00344,0.00942465753424658 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","EEU",106,67.7845784615592,495734.914573311,"106|EEU",47,11.8326421566686,0.00114,0.00312328767123288 +"Amu Darya - FSU","Amu Darya","FSU",10,68.6835347999179,638880.526372685,"10|FSU",48,25.2102374926437,0.00243,0.00665753424657534 +"Amur - FSU","Amur","FSU",11,129.326629721752,1005837.93579931,"11|FSU",49,14.8289664125757,0.00143,0.00391780821917808 +"Arctic Ocean Islands - FSU","Arctic Ocean Islands","FSU",16,30.9175603956012,95059.0891508528,"16|FSU",50,16.0822055245354,0.00155,0.00424657534246575 +"Barents Sea Coast Northern Dvina - FSU","Barents Sea Coast Northern Dvina","FSU",23,184.356689413426,989905.001426388,"23|FSU",51,5.3265129327008,0.00051,0.0013972602739726 +"Black Sea North Coast - FSU","Black Sea North Coast","FSU",25,20.7626087447651,179779.638782075,"25|FSU",52,23.5240370235685,0.00227,0.00621917808219178 +"Black Sea South Coast - FSU","Black Sea South Coast","FSU",26,3.49540361810978,31889.1221807568,"26|FSU",53,58.3161452154957,0.00563,0.0154246575342466 +"Caspian Sea East Coast - FSU","Caspian Sea East Coast","FSU",30,55.5016737422857,526071.782426098,"30|FSU",54,21.2864013026226,0.00205,0.00561643835616438 +"Caspian Sea South West Coast - FSU","Caspian Sea South West Coast","FSU",31,37.2783475929987,338417.470868827,"31|FSU",55,33.905902661928,0.00327,0.00895890410958904 +"Danube - FSU","Danube","FSU",39,4.98521951990988,41684.99327573,"39|FSU",56,42.1038272151254,0.00406,0.0111232876712329 +"Dnieper - FSU","Dnieper","FSU",42,66.0033239742786,511732.463504726,"42|FSU",57,13.6096646598503,0.00131,0.00358904109589041 +"Dniester Black Sea North Coast - FSU","Dniester Black Sea North Coast","FSU",43,19.7029910122115,162723.205487494,"43|FSU",58,32.4809108274994,0.00313,0.00857534246575343 +"Don - FSU","Don","FSU",44,54.9446559010372,439083.786516578,"44|FSU",59,26.3453121494338,0.00254,0.00695890410958904 +"Finland Neva - FSU","Finland Neva","FSU",51,38.1091123031553,234082.135386595,"51|FSU",60,8.61373849723121,0.00083,0.00227397260273973 +"Gobi Interior - FSU","Gobi Interior","FSU",54,3.15181963887976,24993.7936691233,"54|FSU",61,24.1327539112402,0.00233,0.00638356164383562 +"Japan - FSU","Japan","FSU",71,0.745367978910006,6531.47363726511,"71|FSU",62,30.4007650479696,0.00293,0.00802739726027397 +"Kara Sea Coast - FSU","Kara Sea Coast","FSU",74,142.429657740246,672080.017117019,"74|FSU",63,3.57394030945666,0.00034,0.000931506849315069 +"Lake Balkash - FSU","Lake Balkash","FSU",77,46.6855888250367,401916.698212351,"77|FSU",64,17.9198287778416,0.00173,0.00473972602739726 +"Lena - FSU","Lena","FSU",79,417.76859119321,2477833.69822971,"79|FSU",65,16.3720938516706,0.00158,0.00432876712328767 +"Ob - FSU","Ob","FSU",105,442.018400070531,3002697.03552278,"105|FSU",66,4.61639913527155,0.00045,0.00123287671232877 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","FSU",106,27.2829156200095,192354.071595215,"106|FSU",67,8.66042372286626,0.00084,0.0023013698630137 +"Russia South East Coast - FSU","Russia South East Coast","FSU",123,13.1857694423042,111173.216064647,"123|FSU",68,25.4327156438159,0.00245,0.00671232876712329 +"Scandinavia North Coast - FSU","Scandinavia North Coast","FSU",127,47.8208593550724,236147.734973259,"127|FSU",69,12.5288137131749,0.00121,0.00331506849315068 +"Siberia North Coast - FSU","Siberia North Coast","FSU",131,314.891611649084,1204002.45358459,"131|FSU",70,9.1349162472921,0.00088,0.00241095890410959 +"Siberia West Coast - FSU","Siberia West Coast","FSU",132,577.151055068633,3030293.78125036,"132|FSU",71,18.0420881721494,0.00174,0.00476712328767123 +"Syr Darya - FSU","Syr Darya","FSU",146,120.169189940949,1039645.46575559,"146|FSU",72,19.29346237268,0.00186,0.0050958904109589 +"Tarim Interior - FSU","Tarim Interior","FSU",148,2.80814818779262,26139.254680909,"148|FSU",73,43.9122868867446,0.00424,0.0116164383561644 +"Ural Caspian Sea Coast - FSU","Ural Caspian Sea Coast","FSU",154,89.8767261313675,735674.661623416,"154|FSU",74,10.3496074340243,0.001,0.00273972602739726 +"Volga - FSU","Volga","FSU",157,203.59354238698,1410727.69809135,"157|FSU",75,10.0331558336832,0.00097,0.00265753424657534 +"Yenisey - FSU","Yenisey","FSU",160,349.0750019229,2190506.10222536,"160|FSU",76,12.9708805513583,0.00125,0.00342465753424658 +"Amazon - LAM","Amazon","LAM",9,486.780077931147,5925336.49909458,"9|LAM",77,12.963545565283,0.00125,0.00342465753424658 +"California - LAM","California","LAM",27,12.277303755465,133751.602885291,"27|LAM",78,68.5043837198021,0.00661,0.0181095890410959 +"Caribbean - LAM","Caribbean","LAM",28,18.2195496759267,210085.375759838,"28|LAM",79,23.1282789260171,0.00223,0.00610958904109589 +"Carribean Coast - LAM","Carribean Coast","LAM",29,28.1879330955781,342254.363448256,"29|LAM",80,28.836696130855,0.00278,0.00761643835616438 +"Central America Carribean Coast - LAM","Central America Carribean Coast","LAM",32,77.4389887699312,906204.987996335,"32|LAM",81,26.2168767430327,0.00253,0.00693150684931507 +"Central America Pacific Coast - LAM","Central America Pacific Coast","LAM",33,77.7277963796977,886340.351136259,"33|LAM",82,50.2370161708968,0.00485,0.0132876712328767 +"Columbia Ecuador Pacific Coast - LAM","Columbia Ecuador Pacific Coast","LAM",37,16.885340271399,207407.420084339,"37|LAM",83,32.9752938086032,0.00318,0.00871232876712329 +"East Brazil South Atlantic Coast - LAM","East Brazil South Atlantic Coast","LAM",46,23.3233391301031,285367.670890867,"46|LAM",84,22.8716922671853,0.00221,0.00605479452054795 +"La Plata - LAM","La Plata","LAM",75,235.104160777778,2659173.34920901,"75|LAM",85,17.1231277740712,0.00165,0.00452054794520548 +"La Puna Region - LAM","La Puna Region","LAM",76,28.3249346874291,326056.005455247,"76|LAM",86,59.2231636755132,0.00572,0.0156712328767123 +"Magdalena - LAM","Magdalena","LAM",83,21.2391017830768,259630.159521387,"83|LAM",87,33.4615312579089,0.00323,0.00884931506849315 +"Mar Chiquita Salinas Grandes - LAM","Mar Chiquita Salinas Grandes","LAM",84,28.6933240096602,307876.481254837,"84|LAM",88,29.8800607165771,0.00288,0.00789041095890411 +"Negro Central Patagonia South Argentina South Atlantic Coast - LAM","Negro Central Patagonia South Argentina South Atlantic Coast","LAM",93,79.9499701836478,705678.746728697,"93|LAM",89,50.2590609785635,0.00485,0.0132876712328767 +"North America Colorado - LAM","North America Colorado","LAM",97,1.37250634886812,14421.2025816076,"97|LAM",90,43.8679942734409,0.00423,0.0115890410958904 +"North Brazil South Atlantic Coast - LAM","North Brazil South Atlantic Coast","LAM",99,22.0167573309247,270274.607402336,"99|LAM",91,12.2433412777968,0.00118,0.00323287671232877 +"North Chile Pacific Coast - LAM","North Chile Pacific Coast","LAM",100,39.1597119573662,413904.338739089,"100|LAM",92,78.3151980516534,0.00756,0.0207123287671233 +"North East South America South Atlantic Coast - LAM","North East South America South Atlantic Coast","LAM",101,45.7308233811316,561056.784910494,"101|LAM",93,9.7241293270156,0.00094,0.00257534246575342 +"Orinoco - LAM","Orinoco","LAM",108,76.5733276823694,937394.081795556,"108|LAM",94,13.0955281642722,0.00126,0.00345205479452055 +"Pampas Region North Argentina South Atlantic Coast - LAM","Pampas Region North Argentina South Atlantic Coast","LAM",111,39.3456825485111,391665.078336988,"111|LAM",95,6.96386342247738,0.00067,0.00183561643835616 +"Parnaiba - LAM","Parnaiba","LAM",113,27.1583925645221,331511.639634288,"113|LAM",96,26.3331148958951,0.00254,0.00695890410958904 +"Peru Pacific Coast - LAM","Peru Pacific Coast","LAM",116,24.1761151548996,290695.997022633,"116|LAM",97,79.8765531356629,0.00771,0.0211232876712329 +"Rio Grande Mexico Interior - LAM","Rio Grande Mexico Interior","LAM",122,45.9892497176791,503787.798254343,"122|LAM",98,52.8075370633924,0.0051,0.013972602739726 +"Sao Francisco - LAM","Sao Francisco","LAM",125,53.0963202394147,634872.570569325,"125|LAM",99,20.8751064059528,0.00201,0.00550684931506849 +"Soth Chile Pacific Coast - LAM","Soth Chile Pacific Coast","LAM",134,0.647677240518081,7971.80286133216,"134|LAM",100,43.2717161255122,0.00418,0.0114520547945205 +"South America Colorado - LAM","South America Colorado","LAM",137,39.4112649151055,400803.039386454,"137|LAM",101,51.0138750519884,0.00492,0.0134794520547945 +"South Chile Pacific Coast - LAM","South Chile Pacific Coast","LAM",139,39.7890868943764,323440.926784762,"139|LAM",102,54.6837692643832,0.00528,0.0144657534246575 +"Tocantins - LAM","Tocantins","LAM",152,79.3302046719817,960007.472496462,"152|LAM",103,12.2857438963018,0.00119,0.00326027397260274 +"Uruguay Brazil South Atlantic Coast - LAM","Uruguay Brazil South Atlantic Coast","LAM",155,107.981820953679,1207199.9195468,"155|LAM",104,26.5315982862953,0.00256,0.00701369863013699 +"Africa North Interior - MEA","Africa North Interior","MEA",3,392.342599181455,4307318.83283052,"3|MEA",105,50.558611498303,0.00488,0.0133698630136986 +"Africa North West Coast - MEA","Africa North West Coast","MEA",4,48.2771407574193,523688.126151016,"4|MEA",106,54.4207416201906,0.00525,0.0143835616438356 +"Africa Red Sea Gulf of Aden Coast - MEA","Africa Red Sea Gulf of Aden Coast","MEA",5,14.6784377492285,167545.995515948,"5|MEA",107,93.7738460927473,0.00905,0.0247945205479452 +"Arabian Peninsula - MEA","Arabian Peninsula","MEA",14,188.450372204465,2138132.73605009,"14|MEA",108,26.9999684559077,0.00261,0.00715068493150685 +"Caspian Sea East Coast - MEA","Caspian Sea East Coast","MEA",30,8.55976926111568,84809.6847317254,"30|MEA",109,52.2721994745873,0.00504,0.0138082191780822 +"Caspian Sea South West Coast - MEA","Caspian Sea South West Coast","MEA",31,18.7859780866058,184854.944796892,"31|MEA",110,50.9763317938433,0.00492,0.0134794520547945 +"Central Iran - MEA","Central Iran","MEA",34,78.4031097733163,816381.100755505,"34|MEA",111,43.766799509857,0.00422,0.0115616438356164 +"Dead Sea Eastern Jordan Syria - MEA","Dead Sea Eastern Jordan Syria","MEA",40,21.6209289950633,229195.038388866,"40|MEA",112,34.9685716551677,0.00337,0.00923287671232877 +"Farahud Hamun-i-Mashkel Helmand - MEA","Farahud Hamun-i-Mashkel Helmand","MEA",50,10.5024824991332,111209.816103865,"50|MEA",113,45.129586777692,0.00436,0.0119452054794521 +"Lake Chad - MEA","Lake Chad","MEA",78,18.6866027483628,217453.42130273,"78|MEA",114,48.1114291861813,0.00464,0.0127123287671233 +"Mediterranean Sea East Coast - MEA","Mediterranean Sea East Coast","MEA",85,9.74362741863968,100961.05251973,"85|MEA",115,32.3711757388029,0.00312,0.00854794520547945 +"Mediterranean South Coast - MEA","Mediterranean South Coast","MEA",87,54.2396087074357,560667.795583497,"87|MEA",116,44.0758821669385,0.00425,0.0116438356164384 +"Niger - MEA","Niger","MEA",95,14.0187105217764,160908.096721661,"95|MEA",117,53.3703582403241,0.00515,0.0141095890410959 +"Nile - MEA","Nile","MEA",96,188.55740761982,2234647.61686599,"96|MEA",118,29.8479719730879,0.00288,0.00789041095890411 +"Persian Gulf Coast - MEA","Persian Gulf Coast","MEA",115,23.9048734200622,260575.000054426,"115|MEA",119,50.3848333731317,0.00486,0.0133150684931507 +"Red Sea East Coast - MEA","Red Sea East Coast","MEA",120,47.7030593266775,550363.185337614,"120|MEA",120,58.7521170137735,0.00567,0.0155342465753425 +"Rift Valley - MEA","Rift Valley","MEA",121,1.25435641129526,15379.0603173346,"121|MEA",121,24.7695924521899,0.00239,0.00654794520547945 +"Tigris Euphrates - MEA","Tigris Euphrates","MEA",151,71.9904366697333,743265.006515017,"151|MEA",122,24.7070131460583,0.00238,0.00652054794520548 +"Atlantic Ocean Seaboard - NAM","Atlantic Ocean Seaboard","NAM",17,89.9637413068996,700660.987058833,"17|NAM",123,12.292831818001,0.00119,0.00326027397260274 +"California - NAM","California","NAM",27,29.8547294373605,289651.698156503,"27|NAM",124,41.4099327020675,0.004,0.010958904109589 +"Caribbean - NAM","Caribbean","NAM",28,0.767455212300491,8984.76246971829,"28|NAM",125,35.2042618306644,0.0034,0.00931506849315068 +"Central America Pacific Coast - NAM","Central America Pacific Coast","NAM",33,1.68230511829849,17340.4750496719,"33|NAM",126,70.7943709580419,0.00683,0.0187123287671233 +"Columbia - NAM","Columbia","NAM",36,78.2981922647927,671067.401615413,"36|NAM",127,65.6579242004548,0.00634,0.0173698630136986 +"Fraser Pacific Arctic Coast - NAM","Fraser Pacific Arctic Coast","NAM",52,90.4007696815222,664913.166041331,"52|NAM",128,50.8672644544021,0.00491,0.0134520547945205 +"Great Basin - NAM","Great Basin","NAM",55,54.5130367817222,521495.876529328,"55|NAM",129,65.3504320171314,0.00631,0.0172876712328767 +"Gulf Coast - NAM","Gulf Coast","NAM",56,43.9155369881356,464467.439256995,"56|NAM",130,16.598469283895,0.0016,0.00438356164383562 +"Gulf of Mexico North Atlantic Coast - NAM","Gulf of Mexico North Atlantic Coast","NAM",58,68.3636249240203,711651.869282991,"58|NAM",131,7.76417899266882,0.00075,0.00205479452054795 +"Hudson Bay Coast - NAM","Hudson Bay Coast","NAM",63,227.492553061493,1639382.89776352,"63|NAM",132,3.27704143526503,0.00032,0.000876712328767123 +"Mackenzie - NAM","Mackenzie","NAM",81,301.091966706351,1805892.48682057,"81|NAM",133,11.8315932747071,0.00114,0.00312328767123288 +"Mississippi Missouri - NAM","Mississippi Missouri","NAM",90,351.64515928903,3289922.31850528,"90|NAM",134,24.7270993804086,0.00239,0.00654794520547945 +"North America Colorado - NAM","North America Colorado","NAM",97,65.1967801169381,646780.249291032,"97|NAM",135,73.0276278361767,0.00705,0.0193150684931507 +"Northwest Territories - NAM","Northwest Territories","NAM",103,688.893716780571,2967257.05318731,"103|NAM",136,11.3805325710209,0.0011,0.00301369863013699 +"Northwestern United States - NAM","Northwestern United States","NAM",104,5.00126474100818,44964.9045360164,"104|NAM",137,46.2178126550309,0.00446,0.0122191780821918 +"Pacific and Arctic Coast - NAM","Pacific and Arctic Coast","NAM",109,339.631826458035,1826035.92595501,"109|NAM",138,22.4407966030073,0.00217,0.00594520547945205 +"Rio Grande Mexico Interior - NAM","Rio Grande Mexico Interior","NAM",122,33.1714279710499,343985.016673657,"122|NAM",139,57.4537658260943,0.00554,0.0151780821917808 +"Saskatchewan Nelson - NAM","Saskatchewan Nelson","NAM",126,143.523380425816,1110630.52389209,"126|NAM",140,6.39971745025647,0.00062,0.0016986301369863 +"Siberia West Coast - NAM","Siberia West Coast","NAM",132,0.280137249394989,2123.63819554413,"132|NAM",141,13.3373642798814,0.00129,0.00353424657534247 +"St. Lawrence - NAM","St. Lawrence","NAM",142,151.033246000236,1288105.38979251,"142|NAM",142,8.08127454850868,0.00078,0.00213698630136986 +"United States North Atlantic Coast - NAM","United States North Atlantic Coast","NAM",153,42.7239103444116,394964.457059373,"153|NAM",143,25.3132524075471,0.00244,0.00668493150684931 +"Australia East Coast - PAO","Australia East Coast","PAO",18,62.2659062567905,673854.478830054,"18|PAO",144,29.6701344745165,0.00286,0.00783561643835617 +"Australia Interior - PAO","Australia Interior","PAO",19,295.086247148118,3293619.40674352,"19|PAO",145,22.0166739454116,0.00212,0.00580821917808219 +"Australia North Coast - PAO","Australia North Coast","PAO",20,108.418249279836,1279972.36779375,"20|PAO",146,16.7847604939734,0.00162,0.00443835616438356 +"Australia South Coast - PAO","Australia South Coast","PAO",21,45.7445416536989,479722.112560549,"21|PAO",147,36.8254386060556,0.00355,0.00972602739726027 +"Australia West Coast - PAO","Australia West Coast","PAO",22,75.839530734079,833937.790836706,"22|PAO",148,32.441438754558,0.00313,0.00857534246575343 +"Japan - PAO","Japan","PAO",71,38.0472743533459,372329.464848852,"71|PAO",149,35.2779681151009,0.0034,0.00931506849315068 +"Murray Darling - PAO","Murray Darling","PAO",91,100.492634660186,1054628.21948893,"91|PAO",150,20.5629677080066,0.00198,0.00542465753424658 +"New Zealand - PAO","New Zealand","PAO",94,29.2028826806936,269075.463577611,"94|PAO",151,45.8229831131719,0.00442,0.0121095890410959 +"Tasmania - PAO","Tasmania","PAO",149,7.42284523667053,68369.9489798718,"149|PAO",152,34.7551591170621,0.00335,0.00917808219178082 +"Bay of Bengal North East Coast - PAS","Bay of Bengal North East Coast","PAS",24,4.68225185333293,54082.068188585,"24|PAS",153,40.0723323515101,0.00387,0.0106027397260274 +"Gulf of Thailand Coast Chao Phraya - PAS","Gulf of Thailand Coast Chao Phraya","PAS",59,16.3312805637479,193025.558721343,"59|PAS",154,25.0780865146578,0.00242,0.00663013698630137 +"Irian Jaya Coast - PAS","Irian Jaya Coast","PAS",69,66.0011184417722,808375.684360009,"69|PAS",155,24.0017215658563,0.00232,0.00635616438356164 +"Irrawaddy Salween Sittang - PAS","Irrawaddy Salween Sittang","PAS",70,49.8278397542917,570205.770178016,"70|PAS",156,30.8148053660224,0.00297,0.00813698630136986 +"Java Timor - PAS","Java Timor","PAS",72,18.7374270110997,228450.784581086,"72|PAS",157,24.4941884357185,0.00236,0.00646575342465754 +"Kalimantan North Borneo Coast - PAS","Kalimantan North Borneo Coast","PAS",73,60.1272682255887,739353.476733488,"73|PAS",158,18.821078108115,0.00182,0.00498630136986301 +"Mekong - PAS","Mekong","PAS",88,17.7801869887033,209514.666525866,"88|PAS",159,15.5684828886006,0.0015,0.00410958904109589 +"North and South Korea Bo Hai Korean Bay North Coast - PAS","North and South Korea Bo Hai Korean Bay North Coast","PAS",98,10.0243904710069,99821.5557770756,"98|PAS",160,41.0074757161813,0.00396,0.0108493150684932 +"Palau East Indonesia - PAS","Palau East Indonesia","PAS",110,5.15987255800387,63410.5982161751,"110|PAS",161,33.8782755091176,0.00327,0.00895890410958904 +"Papua New Guinea Coast - PAS","Papua New Guinea Coast","PAS",112,4.45717639398788,54590.5433353988,"112|PAS",162,22.8170481677634,0.0022,0.00602739726027397 +"Peninsula Malaysia - PAS","Peninsula Malaysia","PAS",114,23.5614982635156,286680.34490848,"114|PAS",163,21.7870407718934,0.0021,0.00575342465753425 +"Philippines - PAS","Philippines","PAS",117,24.5104711120172,294935.520067751,"117|PAS",164,30.8017626373071,0.00297,0.00813698630136986 +"Solomon Islands - PAS","Solomon Islands","PAS",133,2.99931469701944,36542.9713413,"133|PAS",165,31.0356113330485,0.003,0.00821917808219178 +"South Pacific Islands - PAS","South Pacific Islands","PAS",140,4.26259632327691,49768.692118861,"140|PAS",166,22.9375319914086,0.00221,0.00605479452054795 +"Sulawesi - PAS","Sulawesi","PAS",143,15.5190669421079,190784.023565854,"143|PAS",167,36.2299131295234,0.0035,0.00958904109589041 +"Sumatra - PAS","Sumatra","PAS",144,38.3924853869776,471998.845610956,"144|PAS",168,15.6585760527844,0.00151,0.00413698630136986 +"Taiwan - PAS","Taiwan","PAS",147,3.21093858580542,36252.1186648962,"147|PAS",169,44.3455140243129,0.00428,0.0117260273972603 +"Amur - RCPA","Amur","RCPA",11,30.1956319821478,251372.325097875,"11|RCPA",170,8.91104322323025,0.00086,0.00235616438356164 +"Gobi Interior - RCPA","Gobi Interior","RCPA",54,113.072197782051,976075.059870249,"54|RCPA",171,11.4985585782085,0.00111,0.00304109589041096 +"Gulf of Thailand Coast Chao Phraya - RCPA","Gulf of Thailand Coast Chao Phraya","RCPA",59,3.351612549669,40579.3504289987,"59|RCPA",172,13.7921205935581,0.00133,0.00364383561643836 +"Hong Red River Xun Jiang South China Sea Coast - RCPA","Hong Red River Xun Jiang South China Sea Coast","RCPA",61,9.37996784724748,107416.711962196,"61|RCPA",173,44.4865619185035,0.00429,0.0117534246575342 +"Mekong - RCPA","Mekong","RCPA",88,33.6947431375878,398868.392381575,"88|RCPA",174,24.3918856144924,0.00235,0.00643835616438356 +"North and South Korea Bo Hai Korean Bay North Coast - RCPA","North and South Korea Bo Hai Korean Bay North Coast","RCPA",98,11.0991450754907,105478.349866917,"98|RCPA",175,36.9708678533828,0.00357,0.00978082191780822 +"Ob - RCPA","Ob","RCPA",105,1.33235626811204,11283.4832127971,"105|RCPA",176,37.7413628898162,0.00364,0.00997260273972603 +"Russia South East Coast - RCPA","Russia South East Coast","RCPA",123,1.85955795840788,17123.5984475687,"123|RCPA",177,41.466195973974,0.004,0.010958904109589 +"Vietnam Coast - RCPA","Vietnam Coast","RCPA",156,16.2323358150857,192503.280435158,"156|RCPA",178,32.3930000174241,0.00313,0.00857534246575343 +"Yenisey - RCPA","Yenisey","RCPA",160,40.2430485401263,327631.524937414,"160|RCPA",179,21.081932359934,0.00203,0.00556164383561644 +"Amu Darya - SAS","Amu Darya","SAS",10,16.7518985530722,166771.464109163,"10|SAS",180,61.7499012400961,0.00596,0.0163287671232877 +"Andaman Nicobar Islands - SAS","Andaman Nicobar Islands","SAS",12,0.611597628153476,7382.90877836589,"12|SAS",181,23.9786879911693,0.00231,0.00632876712328767 +"Arabian Sea Coast - SAS","Arabian Sea Coast","SAS",15,3.13868436830924,34848.1381913337,"15|SAS",182,46.0758328715436,0.00445,0.0121917808219178 +"Bay of Bengal North East Coast - SAS","Bay of Bengal North East Coast","SAS",24,3.56922846927027,40602.9640624049,"24|SAS",183,23.0767288914848,0.00223,0.00610958904109589 +"Caspian Sea East Coast - SAS","Caspian Sea East Coast","SAS",30,7.64529672859731,77637.2256248934,"30|SAS",184,55.7369244457038,0.00538,0.0147397260273973 +"Farahud Hamun-i-Mashkel Helmand - SAS","Farahud Hamun-i-Mashkel Helmand","SAS",50,42.9992462763145,454070.059092186,"50|SAS",185,44.7352820538213,0.00432,0.0118356164383562 +"Ganges Bramaputra - SAS","Ganges Bramaputra","SAS",53,114.574660805014,1265290.39826995,"53|SAS",186,28.1640246680034,0.00272,0.00745205479452055 +"India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS","India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai","SAS",65,106.088175287643,1240066.34942367,"65|SAS",187,18.2405784934981,0.00176,0.00482191780821918 +"India West Coast Tapti Narmada Mahi - SAS","India West Coast Tapti Narmada Mahi","SAS",66,27.1943864197254,315036.962117315,"66|SAS",188,22.4746546564322,0.00217,0.00594520547945205 +"Indus - SAS","Indus","SAS",67,73.6348024222214,768352.734831369,"67|SAS",189,48.5247597292423,0.00468,0.0128219178082192 +"Irrawaddy Salween Sittang - SAS","Irrawaddy Salween Sittang","SAS",70,1.56507592571198,17491.9034615122,"70|SAS",190,54.0461663542162,0.00522,0.0143013698630137 +"Persian Gulf Coast - SAS","Persian Gulf Coast","SAS",115,7.34503982196274,81273.2807386681,"115|SAS",191,50.121822020366,0.00484,0.0132602739726027 +"Sabarmati - SAS","Sabarmati","SAS",124,47.4389324577409,525238.82529261,"124|SAS",192,13.7361168397337,0.00133,0.00364383561643836 +"Sri Lanka - SAS","Sri Lanka","SAS",141,5.3998273756006,65886.881826475,"141|SAS",193,17.5785190407128,0.0017,0.00465753424657534 +"Tarim Interior - SAS","Tarim Interior","SAS",148,0.212744215831223,2118.01341964893,"148|SAS",194,97.8526232397254,0.00944,0.0258630136986301 +"Adriatic Sea Greece Black Sea Coast - WEU","Adriatic Sea Greece Black Sea Coast","WEU",0,16.6025359517367,158496.723886438,"0|WEU",195,38.1519068240467,0.00368,0.0100821917808219 +"Africa North West Coast - WEU","Africa North West Coast","WEU",4,0.772579756796993,8357.74871883614,"4|WEU",196,62.4170941113314,0.00602,0.0164931506849315 +"Arctic Ocean Islands - WEU","Arctic Ocean Islands","WEU",16,657.836338923364,2148130.21261879,"16|WEU",197,5.04582157857329,0.00049,0.00134246575342466 +"Black Sea South Coast - WEU","Black Sea South Coast","WEU",26,33.5240895716625,318478.028610579,"26|WEU",198,50.0616990984826,0.00483,0.0132328767123288 +"Caspian Sea South West Coast - WEU","Caspian Sea South West Coast","WEU",31,3.1201578568498,29506.3162052805,"31|WEU",199,39.4244087888234,0.0038,0.0104109589041096 +"Danube - WEU","Danube","WEU",39,16.7541098606663,139167.596216366,"39|WEU",200,39.8380200762989,0.00384,0.0105205479452055 +"Denmark Germany Coast - WEU","Denmark Germany Coast","WEU",41,10.4655447067247,74244.066786136,"41|WEU",201,6.69085669193842,0.00065,0.00178082191780822 +"Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU","Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast","WEU",45,42.3993937137699,400725.215368285,"45|WEU",202,40.0301682412509,0.00386,0.0105753424657534 +"Ebro Spain France South Coast Rhone - WEU","Ebro Spain France South Coast Rhone","WEU",47,34.0133177742879,310081.867113216,"47|WEU",203,42.3438073468765,0.00409,0.0112054794520548 +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","WEU",48,96.2858536295386,783670.905274237,"48|WEU",204,20.2439394568529,0.00195,0.00534246575342466 +"England Wales Scotland - WEU","England Wales Scotland","WEU",49,31.5159893579002,229392.173897566,"49|WEU",205,21.7659210967329,0.0021,0.00575342465753425 +"Finland Neva - WEU","Finland Neva","WEU",51,52.7651804765819,289747.214957132,"51|WEU",206,11.2940397082185,0.00109,0.00298630136986301 +"Iceland - WEU","Iceland","WEU",64,19.3621272616206,101871.903033485,"64|WEU",207,16.8529910127685,0.00163,0.00446575342465753 +"Ireland - WEU","Ireland","WEU",68,11.40036611847,84328.9691683287,"68|WEU",208,16.7191348850868,0.00161,0.00441095890410959 +"Mediterranean Sea East Coast - WEU","Mediterranean Sea East Coast","WEU",85,23.1805049967842,226174.475025327,"85|WEU",209,45.989698392526,0.00444,0.0121643835616438 +"Mediterranean Sea Islands - WEU","Mediterranean Sea Islands","WEU",86,6.67917613655111,63898.6746765254,"86|WEU",210,49.2507909120646,0.00475,0.013013698630137 +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","WEU",106,0.758740232113975,5736.80476024672,"106|WEU",211,11.4642412475209,0.00111,0.00304109589041096 +"Po Italy East Coast - WEU","Po Italy East Coast","WEU",119,18.8146514060754,166467.625838251,"119|WEU",212,36.5475329268218,0.00353,0.00967123287671233 +"Scandinavia North Coast - WEU","Scandinavia North Coast","WEU",127,64.1439212397006,337093.248785287,"127|WEU",213,34.0977964847329,0.00329,0.00901369863013699 +"Scotland - WEU","Scotland","WEU",128,0.225422729512069,1385.17002493749,"128|WEU",214,22.6790631913198,0.00219,0.006 +"Sweden - WEU","Sweden","WEU",145,84.6997755992802,478577.106430913,"145|WEU",215,19.7181703422771,0.0019,0.00520547945205479 +"Tiber Italy West Coast - WEU","Tiber Italy West Coast","WEU",150,9.34837735954965,86241.0600696874,"150|WEU",216,38.2586363965468,0.00369,0.0101095890410959 +"Tigris Euphrates - WEU","Tigris Euphrates","WEU",151,19.8155830410531,192100.93829125,"151|WEU",217,44.6098903239118,0.00431,0.0118082191780822 diff --git a/message_ix_models/data/water/availability/gw_energy_intensity_depth_ZMB.csv b/message_ix_models/data/water/availability/gw_energy_intensity_depth_ZMB.csv index 4ff2afdaff..cc1734914b 100644 --- a/message_ix_models/data/water/availability/gw_energy_intensity_depth_ZMB.csv +++ b/message_ix_models/data/water/availability/gw_energy_intensity_depth_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid 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diff --git a/message_ix_models/data/water/availability/qr_5y_m_2p6_low_ZMB.csv b/message_ix_models/data/water/availability/qr_5y_m_2p6_low_ZMB.csv index d7d3bf7e05..dcced0e8bd 100644 --- a/message_ix_models/data/water/availability/qr_5y_m_2p6_low_ZMB.csv +++ b/message_ix_models/data/water/availability/qr_5y_m_2p6_low_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:84070d6911176daced5c55e2298082af726ebfabb0a6312f4b76f9e38b581ae2 -size 104669 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diff --git a/message_ix_models/data/water/availability/qr_5y_m_7p0_low_R12.csv b/message_ix_models/data/water/availability/qr_5y_m_7p0_low_R12.csv index 1707276e0c..b71543e152 100644 --- a/message_ix_models/data/water/availability/qr_5y_m_7p0_low_R12.csv +++ b/message_ix_models/data/water/availability/qr_5y_m_7p0_low_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7eb70dcf969216ac66058116797699807a8c338e50035b02915e60c596f1e525 -size 878011 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diff --git a/message_ix_models/data/water/availability/qr_5y_m_7p0_low_ZMB.csv b/message_ix_models/data/water/availability/qr_5y_m_7p0_low_ZMB.csv index 2eed9649e3..22e58ae4a6 100644 --- a/message_ix_models/data/water/availability/qr_5y_m_7p0_low_ZMB.csv +++ b/message_ix_models/data/water/availability/qr_5y_m_7p0_low_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:23dcde2d02d36c0a9ab524b5d9fa0817fd25f0f535b6a6fea50eabcc74b306a4 -size 104683 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diff --git a/message_ix_models/data/water/availability/qr_5y_m_no_climate_low_ZMB.csv b/message_ix_models/data/water/availability/qr_5y_m_no_climate_low_ZMB.csv index 12190a2c49..6d5db8eef5 100644 --- a/message_ix_models/data/water/availability/qr_5y_m_no_climate_low_ZMB.csv +++ b/message_ix_models/data/water/availability/qr_5y_m_no_climate_low_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6823c985cbde2540a02d00ee1c0d8de802070e0dded39f458c117dad8a74273f -size 105550 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diff --git a/message_ix_models/data/water/availability/qtot_5y_m_2p6_low_ZMB.csv b/message_ix_models/data/water/availability/qtot_5y_m_2p6_low_ZMB.csv index ee4794ebc6..fcefef7ad0 100644 --- a/message_ix_models/data/water/availability/qtot_5y_m_2p6_low_ZMB.csv +++ b/message_ix_models/data/water/availability/qtot_5y_m_2p6_low_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:95af63218ff1d6272f5a594e4da2555aba38a5c8c3e5a7dcab94e23d520d7c83 -size 98248 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diff --git a/message_ix_models/data/water/availability/qtot_5y_m_7p0_low_R12.csv b/message_ix_models/data/water/availability/qtot_5y_m_7p0_low_R12.csv index ad0d7cab99..9f34b71180 100644 --- a/message_ix_models/data/water/availability/qtot_5y_m_7p0_low_R12.csv +++ b/message_ix_models/data/water/availability/qtot_5y_m_7p0_low_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cef17e83adfa0fdb2c60211645fd4cbd41bfd503c8b9a9f08de167f05db773cf -size 859601 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diff --git a/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_R12.csv b/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_R12.csv index 5393e65b16..4852a17f74 100644 --- a/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_R12.csv +++ b/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a0d733081ed0049e8bab9cf8c689c4306f99f1608e67269d6f9e80a67f30210b -size 868793 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diff --git a/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_ZMB.csv b/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_ZMB.csv index 3e400c8d1a..5f8e56763b 100644 --- a/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_ZMB.csv +++ b/message_ix_models/data/water/availability/qtot_5y_m_no_climate_low_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:91c45761b84e45fdc7f481c16c2161442e64fee912158a3806d6e365f8390dd0 -size 99232 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+22,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696,15.34036655475696 +23,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088,10.239792253822088 diff --git a/message_ix_models/data/water/delineation/basins_by_region_simpl_R11.csv b/message_ix_models/data/water/delineation/basins_by_region_simpl_R11.csv index 0e82dea274..def578ec12 100644 --- a/message_ix_models/data/water/delineation/basins_by_region_simpl_R11.csv +++ b/message_ix_models/data/water/delineation/basins_by_region_simpl_R11.csv @@ -1,3 +1,211 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7467ee09663e4046b928ee25de988cfde11fecc6f2c2f6b1198d83b04b42cc3c -size 21924 +"NAME","BASIN","REGION","BASIN_ID","area","area_km2","BCU_name" +"Africa East Central Coast - AFR","Africa East Central Coast","AFR",1,85.6406412219397,1037882.76894644,"1|AFR" +"Africa Indian Ocean Coast - AFR","Africa Indian Ocean Coast","AFR",2,21.1235503168587,243855.520601478,"2|AFR" +"Africa North Interior - AFR","Africa North Interior","AFR",3,105.220994746714,1209583.91920788,"3|AFR" +"Africa North West Coast - AFR","Africa North West Coast","AFR",4,25.6747155708675,298358.803422463,"4|AFR" +"Africa Red Sea Gulf of Aden Coast - AFR","Africa Red Sea Gulf of Aden Coast","AFR",5,48.3045281331647,585875.53107604,"5|AFR" +"Africa South Interior - AFR","Africa South Interior","AFR",6,74.3231876108139,863900.710817653,"6|AFR" +"Africa West Coast - AFR","Africa West Coast","AFR",7,67.7179480852184,822675.54975777,"7|AFR" +"Africa West Coast - AFR","Africa West Coast","AFR",8,16.0126982856018,195431.122629738,"8|AFR" +"Angola Coast - AFR","Angola Coast","AFR",13,42.1327279253483,506476.213575093,"13|AFR" +"Congo - AFR","Congo","AFR",38,301.212562587614,3688579.83075963,"38|AFR" +"Gulf of Guinea - AFR","Gulf of Guinea","AFR",57,57.632405189845,707835.222908555,"57|AFR" +"Lake Chad - AFR","Lake Chad","AFR",78,189.088708065506,2244982.26774017,"78|AFR" +"Limpopo - AFR","Limpopo","AFR",80,36.3424229425402,411554.731175708,"80|AFR" +"Madagascar - AFR","Madagascar","AFR",82,51.0514787938284,592819.418887292,"82|AFR" +"Namibia Coast - AFR","Namibia Coast","AFR",92,22.8331448896133,260117.79685527,"92|AFR" +"Niger - AFR","Niger","AFR",95,163.279157154973,1954323.88325475,"95|AFR" +"Nile - AFR","Nile","AFR",96,69.5744606687538,848882.4077457,"96|AFR" +"Orange - AFR","Orange","AFR",107,89.098734322597,975747.978369644,"107|AFR" +"Rift Valley - AFR","Rift Valley","AFR",121,52.696041266305,642737.024116911,"121|AFR" +"Senegal - AFR","Senegal","AFR",129,38.3804341618996,456422.165841646,"129|AFR" +"Shebelli Juba - AFR","Shebelli Juba","AFR",130,64.7629318145584,794459.122507797,"130|AFR" +"South Africa South Coast - AFR","South Africa South Coast","AFR",135,37.8481728790551,402661.737993571,"135|AFR" +"South Africa West Coast - AFR","South Africa West Coast","AFR",136,10.5490834262764,110986.621626996,"136|AFR" +"Volta - AFR","Volta","AFR",158,33.9583703017424,410993.756248921,"158|AFR" +"Zambezi - AFR","Zambezi","AFR",161,115.445279043949,1373243.10573904,"161|AFR" +"Amur - CPA","Amur","CPA",11,148.389743334373,1240189.46233942,"11|CPA" +"China Coast - CPA","China Coast","CPA",35,35.2353828131729,370017.172369047,"35|CPA" +"Ganges Bramaputra - CPA","Ganges Bramaputra","CPA",53,29.3564694109351,315782.155003207,"53|CPA" +"Gobi Interior - CPA","Gobi Interior","CPA",54,209.484425664921,1852165.81703544,"54|CPA" +"Gulf of Thailand Coast Chao Phraya - CPA","Gulf of Thailand Coast Chao Phraya","CPA",59,3.35222922344818,40586.4646767074,"59|CPA" +"Hainan - CPA","Hainan","CPA",60,2.9345291350748,34161.7683490367,"60|CPA" +"Hong Red River Xun Jiang South China Sea Coast - CPA","Hong Red River Xun Jiang South China Sea Coast","CPA",61,67.2865971970751,759908.086292201,"61|CPA" +"Huang He - CPA","Huang He","CPA",62,97.594462906143,963359.282520628,"62|CPA" +"Indus - CPA","Indus","CPA",67,9.17249071513942,95601.7096913068,"67|CPA" +"Irrawaddy Salween Sittang - CPA","Irrawaddy Salween Sittang","CPA",70,14.6906162822421,158257.727003225,"70|CPA" +"Lake Balkash - CPA","Lake Balkash","CPA",77,8.70744715683831,77304.9437385897,"77|CPA" +"Mekong - CPA","Mekong","CPA",88,48.8305883001017,563659.426441573,"88|CPA" +"North and South Korea Bo Hai Korean Bay North Coast - CPA","North and South Korea Bo Hai Korean Bay North Coast","CPA",98,45.5204298020154,420357.959354959,"98|CPA" +"Ob - CPA","Ob","CPA",105,11.8993746479092,100049.474331047,"105|CPA" +"Plateau of Tibet Interior - CPA","Plateau of Tibet Interior","CPA",118,38.1344451212444,398525.040794704,"118|CPA" +"Russia South East Coast - CPA","Russia South East Coast","CPA",123,5.49676242067795,49902.0966368428,"123|CPA" +"Tarim Interior - CPA","Tarim Interior","CPA",148,163.251571134167,1583756.50134361,"148|CPA" +"Vietnam Coast - CPA","Vietnam Coast","CPA",156,16.2341848847057,192524.548362678,"156|CPA" +"Yangtze - CPA","Yangtze","CPA",159,180.676811876093,1922680.37228977,"159|CPA" +"Yenisey - CPA","Yenisey","CPA",160,40.2456290576695,327652.619005671,"160|CPA" +"Ziya He Interior - CPA","Ziya He Interior","CPA",162,35.7119909692258,342529.496351531,"162|CPA" +"Adriatic Sea Greece Black Sea Coast - EEU","Adriatic Sea Greece Black Sea Coast","EEU",0,19.014028406363,173360.131117452,"0|EEU" +"Danube - EEU","Danube","EEU",39,70.9081932051216,611033.580717153,"39|EEU" +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","EEU",48,6.25878155054862,50029.5402654319,"48|EEU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","EEU",106,67.7775206585273,495681.712643732,"106|EEU" +"Amu Darya - FSU","Amu Darya","FSU",10,68.686585376517,638906.573770219,"10|FSU" +"Amur - FSU","Amur","FSU",11,129.324535564896,1005818.45008491,"11|FSU" +"Arctic Ocean Islands - FSU","Arctic Ocean Islands","FSU",16,30.9171660118481,95057.5876321176,"16|FSU" +"Barents Sea Coast Northern Dvina - FSU","Barents Sea Coast Northern Dvina","FSU",23,184.358189312229,989916.066022257,"23|FSU" +"Black Sea North Coast - FSU","Black Sea North Coast","FSU",25,20.7642877980695,179793.206147971,"25|FSU" +"Black Sea South Coast - FSU","Black Sea South Coast","FSU",26,3.49525223191757,31887.7223126976,"26|FSU" +"Caspian Sea East Coast - FSU","Caspian Sea East Coast","FSU",30,55.5012210522005,526067.152495628,"30|FSU" +"Caspian Sea South West Coast - FSU","Caspian Sea South West Coast","FSU",31,37.2769810296996,338404.567356661,"31|FSU" +"Danube - FSU","Danube","FSU",39,4.98679560198438,41698.2760108575,"39|FSU" +"Dnieper - FSU","Dnieper","FSU",42,66.0031048674932,511732.109698435,"42|FSU" +"Dniester Black Sea North Coast - FSU","Dniester Black Sea North Coast","FSU",43,19.704362857193,162733.918605575,"43|FSU" +"Don - FSU","Don","FSU",44,54.9466645028793,439101.261444294,"44|FSU" +"Finland Neva - FSU","Finland Neva","FSU",51,38.1076876351193,234074.124175411,"51|FSU" +"Gobi Interior - FSU","Gobi Interior","FSU",54,3.15237623201684,24997.2544078962,"54|FSU" +"Japan - FSU","Japan","FSU",71,0.745367978910006,6531.47363726511,"71|FSU" +"Kara Sea Coast - FSU","Kara Sea Coast","FSU",74,142.428525718592,672073.41803226,"74|FSU" +"Lake Balkash - FSU","Lake Balkash","FSU",77,46.6810416786152,401878.021749035,"77|FSU" +"Lena - FSU","Lena","FSU",79,417.75331905278,2477735.6443715,"79|FSU" +"Ob - FSU","Ob","FSU",105,442.00964162264,3002628.16594503,"105|FSU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","FSU",106,27.2775693313409,192320.114728868,"106|FSU" +"Russia South East Coast - FSU","Russia South East Coast","FSU",123,13.1847765044335,111164.148936144,"123|FSU" +"Scandinavia North Coast - FSU","Scandinavia North Coast","FSU",127,47.8203762256698,236144.046628967,"127|FSU" +"Siberia North Coast - FSU","Siberia North Coast","FSU",131,314.896307410122,1204021.88291073,"131|FSU" +"Siberia West Coast - FSU","Siberia West Coast","FSU",132,577.150121923741,3030293.70139549,"132|FSU" +"Syr Darya - FSU","Syr Darya","FSU",146,120.171098561325,1039662.16780112,"146|FSU" +"Tarim Interior - FSU","Tarim Interior","FSU",148,2.80904655064767,26147.6632795119,"148|FSU" +"Ural Caspian Sea Coast - FSU","Ural Caspian Sea Coast","FSU",154,89.8753578314569,735663.518828763,"154|FSU" +"Volga - FSU","Volga","FSU",157,203.598695197411,1410759.65307498,"157|FSU" +"Yenisey - FSU","Yenisey","FSU",160,349.074141761686,2190490.67482451,"160|FSU" +"Amazon - LAM","Amazon","LAM",9,486.780402683812,5925340.76088454,"9|LAM" +"California - LAM","California","LAM",27,12.2770992915893,133749.326140125,"27|LAM" +"Caribbean - LAM","Caribbean","LAM",28,18.2195526049771,210085.44469636,"28|LAM" +"Carribean Coast - LAM","Carribean Coast","LAM",29,28.185097172459,342219.993346387,"29|LAM" +"Central America Carribean Coast - LAM","Central America Carribean Coast","LAM",32,77.4409555190903,906227.484068446,"32|LAM" +"Central America Pacific Coast - LAM","Central America Pacific Coast","LAM",33,77.732012135345,886386.017761382,"33|LAM" +"Columbia Ecuador Pacific Coast - LAM","Columbia Ecuador Pacific Coast","LAM",37,16.8847278049203,207399.927897362,"37|LAM" +"East Brazil South Atlantic Coast - LAM","East Brazil South Atlantic Coast","LAM",46,23.3233391301031,285367.670890867,"46|LAM" +"La Plata - LAM","La Plata","LAM",75,235.108252144959,2659219.12283955,"75|LAM" +"La Puna Region - LAM","La Puna Region","LAM",76,28.3290952641835,326103.029843302,"76|LAM" +"Magdalena - LAM","Magdalena","LAM",83,21.2355824515739,259587.072441182,"83|LAM" +"Mar Chiquita Salinas Grandes - LAM","Mar Chiquita Salinas Grandes","LAM",84,28.695035059693,307893.829004607,"84|LAM" +"Negro Central Patagonia South Argentina South Atlantic Coast - LAM","Negro Central Patagonia South Argentina South Atlantic Coast","LAM",93,79.9493474968814,705672.62120951,"93|LAM" +"North America Colorado - LAM","North America Colorado","LAM",97,1.37315927638378,14428.0988413646,"97|LAM" +"North Brazil South Atlantic Coast - LAM","North Brazil South Atlantic Coast","LAM",99,22.0145214361553,270247.011565055,"99|LAM" +"North Chile Pacific Coast - LAM","North Chile Pacific Coast","LAM",100,39.1600823261892,413908.774428511,"100|LAM" +"North East South America South Atlantic Coast - LAM","North East South America South Atlantic Coast","LAM",101,45.7365738722134,561127.334257519,"101|LAM" +"Orinoco - LAM","Orinoco","LAM",108,76.5678036098983,937326.639238973,"108|LAM" +"Pampas Region North Argentina South Atlantic Coast - LAM","Pampas Region North Argentina South Atlantic Coast","LAM",111,39.3480509780457,391688.587559004,"111|LAM" +"Parnaiba - LAM","Parnaiba","LAM",113,27.1566752264172,331490.653414183,"113|LAM" +"Peru Pacific Coast - LAM","Peru Pacific Coast","LAM",116,24.1749852346672,290682.114318487,"116|LAM" +"Rio Grande Mexico Interior - LAM","Rio Grande Mexico Interior","LAM",122,45.9898300228235,503794.099316689,"122|LAM" +"Sao Francisco - LAM","Sao Francisco","LAM",125,53.0928926249751,634831.294103836,"125|LAM" +"Soth Chile Pacific Coast - LAM","Soth Chile Pacific Coast","LAM",134,0.647677240518081,7971.80286133216,"134|LAM" +"South America Colorado - LAM","South America Colorado","LAM",137,39.4135096723345,400825.377308938,"137|LAM" +"South Chile Pacific Coast - LAM","South Chile Pacific Coast","LAM",139,39.789527232331,323444.133040015,"139|LAM" +"Tocantins - LAM","Tocantins","LAM",152,79.3283003380906,959983.755258664,"152|LAM" +"Uruguay Brazil South Atlantic Coast - LAM","Uruguay Brazil South Atlantic Coast","LAM",155,107.977548150754,1207149.81288145,"155|LAM" +"Africa North Interior - MEA","Africa North Interior","MEA",3,392.331253830793,4307472.99211422,"3|MEA" +"Africa North West Coast - MEA","Africa North West Coast","MEA",4,48.27449617778,523691.655466494,"4|MEA" +"Africa Red Sea Gulf of Aden Coast - MEA","Africa Red Sea Gulf of Aden Coast","MEA",5,14.6794044685829,167557.38728701,"5|MEA" +"Arabian Peninsula - MEA","Arabian Peninsula","MEA",14,188.449826536805,2138127.15305716,"14|MEA" +"Caspian Sea East Coast - MEA","Caspian Sea East Coast","MEA",30,8.55690132404432,84782.1183667905,"30|MEA" +"Caspian Sea South West Coast - MEA","Caspian Sea South West Coast","MEA",31,18.787954338428,184874.204150633,"31|MEA" +"Central Iran - MEA","Central Iran","MEA",34,78.4046571583376,816395.315578667,"34|MEA" +"Dead Sea Eastern Jordan Syria - MEA","Dead Sea Eastern Jordan Syria","MEA",40,21.6213209092656,229199.261942839,"40|MEA" +"Farahud Hamun-i-Mashkel Helmand - MEA","Farahud Hamun-i-Mashkel Helmand","MEA",50,10.5020035781187,111204.497306477,"50|MEA" +"Lake Chad - MEA","Lake Chad","MEA",78,18.695124353775,217413.538330411,"78|MEA" +"Mediterranean Sea East Coast - MEA","Mediterranean Sea East Coast","MEA",85,9.74606286306004,100987.361585762,"85|MEA" +"Mediterranean South Coast - MEA","Mediterranean South Coast","MEA",87,54.2469154046257,560741.360325022,"87|MEA" +"Niger - MEA","Niger","MEA",95,14.0178499369121,160992.837708166,"95|MEA" +"Nile - MEA","Nile","MEA",96,188.550019945325,2234557.76591728,"96|MEA" +"Persian Gulf Coast - MEA","Persian Gulf Coast","MEA",115,23.9025282987901,260549.405111984,"115|MEA" +"Red Sea East Coast - MEA","Red Sea East Coast","MEA",120,47.7058412607888,550393.099985064,"120|MEA" +"Rift Valley - MEA","Rift Valley","MEA",121,1.25555121074777,15393.8287554467,"121|MEA" +"Tigris Euphrates - MEA","Tigris Euphrates","MEA",151,71.9900819878535,743261.214281586,"151|MEA" +"Atlantic Ocean Seaboard - NAM","Atlantic Ocean Seaboard","NAM",17,89.9661669687126,700680.246616945,"17|NAM" +"California - NAM","California","NAM",27,29.855168906379,289656.391070281,"27|NAM" +"Caribbean - NAM","Caribbean","NAM",28,0.767455212300491,8984.76246971829,"28|NAM" +"Central America Pacific Coast - NAM","Central America Pacific Coast","NAM",33,1.6827590327398,17345.2653367855,"33|NAM" +"Columbia - NAM","Columbia","NAM",36,78.2961275871422,671052.441923377,"36|NAM" +"Fraser Pacific Arctic Coast - NAM","Fraser Pacific Arctic Coast","NAM",52,90.3983315645593,664893.237097467,"52|NAM" +"Great Basin - NAM","Great Basin","NAM",55,54.5140097946934,521503.768749663,"55|NAM" +"Gulf Coast - NAM","Gulf Coast","NAM",56,43.9205275512469,464520.69804179,"56|NAM" +"Gulf of Mexico North Atlantic Coast - NAM","Gulf of Mexico North Atlantic Coast","NAM",58,68.3616058932396,711632.739850163,"58|NAM" +"Hudson Bay Coast - NAM","Hudson Bay Coast","NAM",63,227.49460069304,1639399.14112076,"63|NAM" +"Mackenzie - NAM","Mackenzie","NAM",81,301.089370402485,1805875.59838491,"81|NAM" +"Mississippi Missouri - NAM","Mississippi Missouri","NAM",90,351.645183806617,3289922.97488576,"90|NAM" +"North America Colorado - NAM","North America Colorado","NAM",97,65.1980950002856,646794.437152917,"97|NAM" +"Northwest Territories - NAM","Northwest Territories","NAM",103,688.893669129156,2967257.12238662,"103|NAM" +"Northwestern United States - NAM","Northwestern United States","NAM",104,5.00090038985021,44961.5949373347,"104|NAM" +"Pacific and Arctic Coast - NAM","Pacific and Arctic Coast","NAM",109,339.629968263513,1826024.49235586,"109|NAM" +"Rio Grande Mexico Interior - NAM","Rio Grande Mexico Interior","NAM",122,33.1782110719875,344058.186312776,"122|NAM" +"Saskatchewan Nelson - NAM","Saskatchewan Nelson","NAM",126,143.521000558461,1110611.19616507,"126|NAM" +"Siberia West Coast - NAM","Siberia West Coast","NAM",132,0.280137249394989,2123.63819554413,"132|NAM" +"St. Lawrence - NAM","St. Lawrence","NAM",142,151.032035405442,1288095.359333,"142|NAM" +"United States North Atlantic Coast - NAM","United States North Atlantic Coast","NAM",153,42.7239086596139,394964.42498439,"153|NAM" +"Australia East Coast - PAO","Australia East Coast","PAO",18,62.2641789683456,673836.245623707,"18|PAO" +"Australia Interior - PAO","Australia Interior","PAO",19,295.095597586298,3293726.56622247,"19|PAO" +"Australia North Coast - PAO","Australia North Coast","PAO",20,108.420938693425,1280003.42051306,"20|PAO" +"Australia South Coast - PAO","Australia South Coast","PAO",21,45.7450223555796,479727.488022838,"21|PAO" +"Australia West Coast - PAO","Australia West Coast","PAO",22,75.8390631405067,833933.002518445,"22|PAO" +"Japan - PAO","Japan","PAO",71,38.0475068481254,372331.666071583,"71|PAO" +"Murray Darling - PAO","Murray Darling","PAO",91,100.489951587793,1054599.47347905,"91|PAO" +"New Zealand - PAO","New Zealand","PAO",94,29.2028196340705,269074.84878399,"94|PAO" +"Tasmania - PAO","Tasmania","PAO",149,7.42284523667053,68369.9489798718,"149|PAO" +"Bay of Bengal North East Coast - PAS","Bay of Bengal North East Coast","PAS",24,4.68242946384656,54084.1195590202,"24|PAS" +"Gulf of Thailand Coast Chao Phraya - PAS","Gulf of Thailand Coast Chao Phraya","PAS",59,16.330681056794,193018.177249192,"59|PAS" +"Irian Jaya Coast - PAS","Irian Jaya Coast","PAS",69,66.0013142326551,808378.03538473,"69|PAS" +"Irrawaddy Salween Sittang - PAS","Irrawaddy Salween Sittang","PAS",70,49.8297258521131,570226.971880858,"70|PAS" +"Java Timor - PAS","Java Timor","PAS",72,18.7374270110997,228450.784581086,"72|PAS" +"Kalimantan North Borneo Coast - PAS","Kalimantan North Borneo Coast","PAS",73,60.1276045254183,739357.606383824,"73|PAS" +"Mekong - PAS","Mekong","PAS",88,17.7812242144595,209527.134238845,"88|PAS" +"North and South Korea Bo Hai Korean Bay North Coast - PAS","North and South Korea Bo Hai Korean Bay North Coast","PAS",98,10.0253528677443,99831.0475401134,"98|PAS" +"Palau East Indonesia - PAS","Palau East Indonesia","PAS",110,5.15958128580208,63407.0120213796,"110|PAS" +"Papua New Guinea Coast - PAS","Papua New Guinea Coast","PAS",112,4.45717639398788,54590.5433353988,"112|PAS" +"Peninsula Malaysia - PAS","Peninsula Malaysia","PAS",114,23.5616435487905,286682.089429954,"114|PAS" +"Philippines - PAS","Philippines","PAS",117,24.5103486934322,294934.045002804,"117|PAS" +"Solomon Islands - PAS","Solomon Islands","PAS",133,2.99931469701944,36542.9713413,"133|PAS" +"South Pacific Islands - PAS","South Pacific Islands","PAS",140,4.26259632327691,49768.692118861,"140|PAS" +"Sulawesi - PAS","Sulawesi","PAS",143,15.519024396104,190783.501590708,"143|PAS" +"Sumatra - PAS","Sumatra","PAS",144,38.392517943076,471999.246228484,"144|PAS" +"Taiwan - PAS","Taiwan","PAS",147,3.21093858580542,36252.1186648962,"147|PAS" +"Amu Darya - SAS","Amu Darya","SAS",10,16.7518985530722,166771.464109163,"10|SAS" +"Andaman Nicobar Islands - SAS","Andaman Nicobar Islands","SAS",12,0.611597628153476,7382.90877836589,"12|SAS" +"Arabian Sea Coast - SAS","Arabian Sea Coast","SAS",15,3.13841029150262,34845.0664634199,"15|SAS" +"Bay of Bengal North East Coast - SAS","Bay of Bengal North East Coast","SAS",24,3.56922846927028,40602.9640624049,"24|SAS" +"Caspian Sea East Coast - SAS","Caspian Sea East Coast","SAS",30,7.64529672859731,77637.2256248934,"30|SAS" +"Farahud Hamun-i-Mashkel Helmand - SAS","Farahud Hamun-i-Mashkel Helmand","SAS",50,42.9974148699318,454051.157894415,"50|SAS" +"Ganges Bramaputra - SAS","Ganges Bramaputra","SAS",53,114.573620263346,1265279.17542597,"53|SAS" +"India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS","India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai","SAS",65,106.089050881934,1240076.77861252,"65|SAS" +"India West Coast Tapti Narmada Mahi - SAS","India West Coast Tapti Narmada Mahi","SAS",66,27.1958463513547,315053.638475558,"66|SAS" +"Indus - SAS","Indus","SAS",67,73.6337703233238,768342.18343615,"67|SAS" +"Irrawaddy Salween Sittang - SAS","Irrawaddy Salween Sittang","SAS",70,1.56435003352901,17483.7867817002,"70|SAS" +"Persian Gulf Coast - SAS","Persian Gulf Coast","SAS",115,7.34503982196274,81273.2807386681,"115|SAS" +"Sabarmati - SAS","Sabarmati","SAS",124,47.4389449412616,525238.965513579,"124|SAS" +"Sri Lanka - SAS","Sri Lanka","SAS",141,5.3998273756006,65886.881826475,"141|SAS" +"Tarim Interior - SAS","Tarim Interior","SAS",148,0.212744215831223,2118.01341964893,"148|SAS" +"Adriatic Sea Greece Black Sea Coast - WEU","Adriatic Sea Greece Black Sea Coast","WEU",0,16.6019959370146,158492.060537312,"0|WEU" +"Africa North West Coast - WEU","Africa North West Coast","WEU",4,0.772579756796993,8357.74871883614,"4|WEU" +"Arctic Ocean Islands - WEU","Arctic Ocean Islands","WEU",16,657.836156018585,2148129.87488679,"16|WEU" +"Black Sea South Coast - WEU","Black Sea South Coast","WEU",26,33.5251526550889,318487.994482144,"26|WEU" +"Caspian Sea South West Coast - WEU","Caspian Sea South West Coast","WEU",31,3.11997365813681,29504.5044260304,"31|WEU" +"Danube - WEU","Danube","WEU",39,16.7560367991001,139184.600958488,"39|WEU" +"Denmark Germany Coast - WEU","Denmark Germany Coast","WEU",41,10.4649057792896,74239.2246396063,"41|WEU" +"Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU","Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast","WEU",45,42.4007501017728,400738.956550463,"45|WEU" +"Ebro Spain France South Coast Rhone - WEU","Ebro Spain France South Coast Rhone","WEU",47,34.0188868304296,310132.626420233,"47|WEU" +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","WEU",48,96.2848296726085,783666.528722479,"48|WEU" +"England Wales Scotland - WEU","England Wales Scotland","WEU",49,31.5156620259717,229390.171236448,"49|WEU" +"Finland Neva - WEU","Finland Neva","WEU",51,52.7648613175819,289746.372656555,"51|WEU" +"Iceland - WEU","Iceland","WEU",64,19.3621272616206,101871.903033485,"64|WEU" +"Ireland - WEU","Ireland","WEU",68,11.40036611847,84328.9691683287,"68|WEU" +"Mediterranean Sea East Coast - WEU","Mediterranean Sea East Coast","WEU",85,23.1813741346407,226182.637087686,"85|WEU" +"Mediterranean Sea Islands - WEU","Mediterranean Sea Islands","WEU",86,6.67917613655111,63898.6746765254,"86|WEU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","WEU",106,0.756517277712933,5719.72716463104,"106|WEU" +"Po Italy East Coast - WEU","Po Italy East Coast","WEU",119,18.8141496434852,166461.512041307,"119|WEU" +"Scandinavia North Coast - WEU","Scandinavia North Coast","WEU",127,64.1489281596315,337117.202014231,"127|WEU" +"Scotland - WEU","Scotland","WEU",128,0.225419636540737,1385.15060460695,"128|WEU" +"Sweden - WEU","Sweden","WEU",145,84.699837642,478577.508515245,"145|WEU" +"Tiber Italy West Coast - WEU","Tiber Italy West Coast","WEU",150,9.34515516858358,86211.9260586064,"150|WEU" +"Tigris Euphrates - WEU","Tigris Euphrates","WEU",151,19.8155830410531,192100.93829125,"151|WEU" diff --git a/message_ix_models/data/water/delineation/basins_by_region_simpl_R12.csv b/message_ix_models/data/water/delineation/basins_by_region_simpl_R12.csv index 9e71b3ca70..c7971bfbbb 100644 --- a/message_ix_models/data/water/delineation/basins_by_region_simpl_R12.csv +++ b/message_ix_models/data/water/delineation/basins_by_region_simpl_R12.csv @@ -1,3 +1,218 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:18d8797e3d1e744b03a0fdce61817fd15ba10bc09baf5fc80dfa98600cd0c87e -size 22715 +"NAME","BASIN","REGION","BASIN_ID","area","area_km2","BCU_name" +"Africa East Central Coast - AFR","Africa East Central Coast","AFR",1,85.6407192708847,1037883.57457206,"1|AFR" +"Africa Indian Ocean Coast - AFR","Africa Indian Ocean Coast","AFR",2,21.1274091566919,243899.943980057,"2|AFR" +"Africa North Interior - AFR","Africa North Interior","AFR",3,105.216562217766,1209639.3792132,"3|AFR" +"Africa North West Coast - AFR","Africa North West Coast","AFR",4,25.6873406556006,298426.823374682,"4|AFR" +"Africa Red Sea Gulf of Aden Coast - AFR","Africa Red Sea Gulf of Aden Coast","AFR",5,48.304441467967,585874.354092506,"5|AFR" +"Africa South Interior - AFR","Africa South Interior","AFR",6,74.3232435534603,863903.144677722,"6|AFR" +"Africa West Coast - AFR","Africa West Coast","AFR",7,67.7207484004699,822709.492280389,"7|AFR" +"Africa West Coast - AFR","Africa West Coast","AFR",8,16.0127118248886,195431.288593632,"8|AFR" +"Angola Coast - AFR","Angola Coast","AFR",13,42.1350652928656,506503.729172051,"13|AFR" +"Congo - AFR","Congo","AFR",38,301.20346994946,3688468.87952337,"38|AFR" +"Gulf of Guinea - AFR","Gulf of Guinea","AFR",57,57.6331317885869,707844.131026168,"57|AFR" +"Lake Chad - AFR","Lake Chad","AFR",78,189.082585256174,2245019.2153342,"78|AFR" +"Limpopo - AFR","Limpopo","AFR",80,36.3407949546168,411537.149830089,"80|AFR" +"Madagascar - AFR","Madagascar","AFR",82,51.0511559229043,592815.646554964,"82|AFR" +"Namibia Coast - AFR","Namibia Coast","AFR",92,22.8332512068323,260119.130274544,"92|AFR" +"Niger - AFR","Niger","AFR",95,163.275560520987,1954311.59053418,"95|AFR" +"Nile - AFR","Nile","AFR",96,69.5750616463425,848888.285966385,"96|AFR" +"Orange - AFR","Orange","AFR",107,89.0928294768919,975683.02767157,"107|AFR" +"Rift Valley - AFR","Rift Valley","AFR",121,52.691470748962,642681.064563093,"121|AFR" +"Senegal - AFR","Senegal","AFR",129,38.3770506415186,456381.40875559,"129|AFR" +"Shebelli Juba - AFR","Shebelli Juba","AFR",130,64.7610768117536,794436.545225901,"130|AFR" +"South Africa South Coast - AFR","South Africa South Coast","AFR",135,37.8396373396322,402570.386649233,"135|AFR" +"South Africa West Coast - AFR","South Africa West Coast","AFR",136,10.5469357475168,110964.506621829,"136|AFR" +"Volta - AFR","Volta","AFR",158,33.958874978699,410999.801449514,"158|AFR" +"Zambezi - AFR","Zambezi","AFR",161,115.441817038754,1373200.90839793,"161|AFR" +"Amur - CHN","Amur","CHN",11,118.195176436825,988839.351250819,"11|CHN" +"China Coast - CHN","China Coast","CHN",35,35.2314586262084,369974.818192495,"35|CHN" +"Ganges Bramaputra - CHN","Ganges Bramaputra","CHN",53,29.3593869905682,315813.627336444,"53|CHN" +"Gobi Interior - CHN","Gobi Interior","CHN",54,96.4139399982324,876111.696252717,"54|CHN" +"Hainan - CHN","Hainan","CHN",60,2.93450163815911,34161.4498569053,"60|CHN" +"Hong Red River Xun Jiang South China Sea Coast - CHN","Hong Red River Xun Jiang South China Sea Coast","CHN",61,57.905352536406,652476.224748953,"61|CHN" +"Huang He - CHN","Huang He","CHN",62,97.5892706376052,963305.893215729,"62|CHN" +"Indus - CHN","Indus","CHN",67,9.17213900089549,95598.0224345673,"67|CHN" +"Irrawaddy Salween Sittang - CHN","Irrawaddy Salween Sittang","CHN",70,14.6895956733614,158244.336325541,"70|CHN" +"Lake Balkash - CHN","Lake Balkash","CHN",77,8.70989113807568,77327.3230004988,"77|CHN" +"Mekong - CHN","Mekong","CHN",88,15.1320318706171,164746.578075919,"88|CHN" +"North and South Korea Bo Hai Korean Bay North Coast - CHN","North and South Korea Bo Hai Korean Bay North Coast","CHN",98,34.4220451116315,314886.585845333,"98|CHN" +"Ob - CHN","Ob","CHN",105,10.5629417985277,88732.8256035276,"105|CHN" +"Plateau of Tibet Interior - CHN","Plateau of Tibet Interior","CHN",118,38.1352866146846,398534.121714659,"118|CHN" +"Russia South East Coast - CHN","Russia South East Coast","CHN",123,3.64312013899046,32831.9680093301,"123|CHN" +"Tarim Interior - CHN","Tarim Interior","CHN",148,163.252847065068,1583765.90012104,"148|CHN" +"Yangtze - CHN","Yangtze","CHN",159,180.674341349942,1922652.30883649,"159|CHN" +"Ziya He Interior - CHN","Ziya He Interior","CHN",162,35.715381627626,342560.63818529,"162|CHN" +"Adriatic Sea Greece Black Sea Coast - EEU","Adriatic Sea Greece Black Sea Coast","EEU",0,19.0144206024552,173363.569610449,"0|EEU" +"Danube - EEU","Danube","EEU",39,70.9082872950923,611034.203723855,"39|EEU" +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","EEU",48,6.26004336871745,50039.7704306199,"48|EEU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","EEU",106,67.7845784615592,495734.914573311,"106|EEU" +"Amu Darya - FSU","Amu Darya","FSU",10,68.6835347999179,638880.526372685,"10|FSU" +"Amur - FSU","Amur","FSU",11,129.326629721752,1005837.93579931,"11|FSU" +"Arctic Ocean Islands - FSU","Arctic Ocean Islands","FSU",16,30.9175603956012,95059.0891508528,"16|FSU" +"Barents Sea Coast Northern Dvina - FSU","Barents Sea Coast Northern Dvina","FSU",23,184.356689413426,989905.001426388,"23|FSU" +"Black Sea North Coast - FSU","Black Sea North Coast","FSU",25,20.7626087447651,179779.638782075,"25|FSU" +"Black Sea South Coast - FSU","Black Sea South Coast","FSU",26,3.49540361810978,31889.1221807568,"26|FSU" +"Caspian Sea East Coast - FSU","Caspian Sea East Coast","FSU",30,55.5016737422857,526071.782426098,"30|FSU" +"Caspian Sea South West Coast - FSU","Caspian Sea South West Coast","FSU",31,37.2783475929987,338417.470868827,"31|FSU" +"Danube - FSU","Danube","FSU",39,4.98521951990988,41684.99327573,"39|FSU" +"Dnieper - FSU","Dnieper","FSU",42,66.0033239742786,511732.463504726,"42|FSU" +"Dniester Black Sea North Coast - FSU","Dniester Black Sea North Coast","FSU",43,19.7029910122115,162723.205487494,"43|FSU" +"Don - FSU","Don","FSU",44,54.9446559010372,439083.786516578,"44|FSU" +"Finland Neva - FSU","Finland Neva","FSU",51,38.1091123031553,234082.135386595,"51|FSU" +"Gobi Interior - FSU","Gobi Interior","FSU",54,3.15181963887976,24993.7936691233,"54|FSU" +"Japan - FSU","Japan","FSU",71,0.745367978910006,6531.47363726511,"71|FSU" +"Kara Sea Coast - FSU","Kara Sea Coast","FSU",74,142.429657740246,672080.017117019,"74|FSU" +"Lake Balkash - FSU","Lake Balkash","FSU",77,46.6855888250367,401916.698212351,"77|FSU" +"Lena - FSU","Lena","FSU",79,417.76859119321,2477833.69822971,"79|FSU" +"Ob - FSU","Ob","FSU",105,442.018400070531,3002697.03552278,"105|FSU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","FSU",106,27.2829156200095,192354.071595215,"106|FSU" +"Russia South East Coast - FSU","Russia South East Coast","FSU",123,13.1857694423042,111173.216064647,"123|FSU" +"Scandinavia North Coast - FSU","Scandinavia North Coast","FSU",127,47.8208593550724,236147.734973259,"127|FSU" +"Siberia North Coast - FSU","Siberia North Coast","FSU",131,314.891611649084,1204002.45358459,"131|FSU" +"Siberia West Coast - FSU","Siberia West Coast","FSU",132,577.151055068633,3030293.78125036,"132|FSU" +"Syr Darya - FSU","Syr Darya","FSU",146,120.169189940949,1039645.46575559,"146|FSU" +"Tarim Interior - FSU","Tarim Interior","FSU",148,2.80814818779262,26139.254680909,"148|FSU" +"Ural Caspian Sea Coast - FSU","Ural Caspian Sea Coast","FSU",154,89.8767261313675,735674.661623416,"154|FSU" +"Volga - FSU","Volga","FSU",157,203.59354238698,1410727.69809135,"157|FSU" +"Yenisey - FSU","Yenisey","FSU",160,349.0750019229,2190506.10222536,"160|FSU" +"Amazon - LAM","Amazon","LAM",9,486.780077931147,5925336.49909458,"9|LAM" +"California - LAM","California","LAM",27,12.277303755465,133751.602885291,"27|LAM" +"Caribbean - LAM","Caribbean","LAM",28,18.2195496759267,210085.375759838,"28|LAM" +"Carribean Coast - LAM","Carribean Coast","LAM",29,28.1879330955781,342254.363448256,"29|LAM" +"Central America Carribean Coast - LAM","Central America Carribean Coast","LAM",32,77.4389887699312,906204.987996335,"32|LAM" +"Central America Pacific Coast - LAM","Central America Pacific Coast","LAM",33,77.7277963796977,886340.351136259,"33|LAM" +"Columbia Ecuador Pacific Coast - LAM","Columbia Ecuador Pacific Coast","LAM",37,16.885340271399,207407.420084339,"37|LAM" +"East Brazil South Atlantic Coast - LAM","East Brazil South Atlantic Coast","LAM",46,23.3233391301031,285367.670890867,"46|LAM" +"La Plata - LAM","La Plata","LAM",75,235.104160777778,2659173.34920901,"75|LAM" +"La Puna Region - LAM","La Puna Region","LAM",76,28.3249346874291,326056.005455247,"76|LAM" +"Magdalena - LAM","Magdalena","LAM",83,21.2391017830768,259630.159521387,"83|LAM" +"Mar Chiquita Salinas Grandes - LAM","Mar Chiquita Salinas Grandes","LAM",84,28.6933240096602,307876.481254837,"84|LAM" +"Negro Central Patagonia South Argentina South Atlantic Coast - LAM","Negro Central Patagonia South Argentina South Atlantic Coast","LAM",93,79.9499701836478,705678.746728697,"93|LAM" +"North America Colorado - LAM","North America Colorado","LAM",97,1.37250634886812,14421.2025816076,"97|LAM" +"North Brazil South Atlantic Coast - LAM","North Brazil South Atlantic Coast","LAM",99,22.0167573309247,270274.607402336,"99|LAM" +"North Chile Pacific Coast - LAM","North Chile Pacific Coast","LAM",100,39.1597119573662,413904.338739089,"100|LAM" +"North East South America South Atlantic Coast - LAM","North East South America South Atlantic Coast","LAM",101,45.7308233811316,561056.784910494,"101|LAM" +"Orinoco - LAM","Orinoco","LAM",108,76.5733276823694,937394.081795556,"108|LAM" +"Pampas Region North Argentina South Atlantic Coast - LAM","Pampas Region North Argentina South Atlantic Coast","LAM",111,39.3456825485111,391665.078336988,"111|LAM" +"Parnaiba - LAM","Parnaiba","LAM",113,27.1583925645221,331511.639634288,"113|LAM" +"Peru Pacific Coast - LAM","Peru Pacific Coast","LAM",116,24.1761151548996,290695.997022633,"116|LAM" +"Rio Grande Mexico Interior - LAM","Rio Grande Mexico Interior","LAM",122,45.9892497176791,503787.798254343,"122|LAM" +"Sao Francisco - LAM","Sao Francisco","LAM",125,53.0963202394147,634872.570569325,"125|LAM" +"Soth Chile Pacific Coast - LAM","Soth Chile Pacific Coast","LAM",134,0.647677240518081,7971.80286133216,"134|LAM" +"South America Colorado - LAM","South America Colorado","LAM",137,39.4112649151055,400803.039386454,"137|LAM" +"South Chile Pacific Coast - LAM","South Chile Pacific Coast","LAM",139,39.7890868943764,323440.926784762,"139|LAM" +"Tocantins - LAM","Tocantins","LAM",152,79.3302046719817,960007.472496462,"152|LAM" +"Uruguay Brazil South Atlantic Coast - LAM","Uruguay Brazil South Atlantic Coast","LAM",155,107.981820953679,1207199.9195468,"155|LAM" +"Africa North Interior - MEA","Africa North Interior","MEA",3,392.342599181455,4307318.83283052,"3|MEA" +"Africa North West Coast - MEA","Africa North West Coast","MEA",4,48.2771407574193,523688.126151016,"4|MEA" +"Africa Red Sea Gulf of Aden Coast - MEA","Africa Red Sea Gulf of Aden Coast","MEA",5,14.6784377492285,167545.995515948,"5|MEA" +"Arabian Peninsula - MEA","Arabian Peninsula","MEA",14,188.450372204465,2138132.73605009,"14|MEA" +"Caspian Sea East Coast - MEA","Caspian Sea East Coast","MEA",30,8.55976926111568,84809.6847317254,"30|MEA" +"Caspian Sea South West Coast - MEA","Caspian Sea South West Coast","MEA",31,18.7859780866058,184854.944796892,"31|MEA" +"Central Iran - MEA","Central Iran","MEA",34,78.4031097733163,816381.100755505,"34|MEA" +"Dead Sea Eastern Jordan Syria - MEA","Dead Sea Eastern Jordan Syria","MEA",40,21.6209289950633,229195.038388866,"40|MEA" +"Farahud Hamun-i-Mashkel Helmand - MEA","Farahud Hamun-i-Mashkel Helmand","MEA",50,10.5024824991332,111209.816103865,"50|MEA" +"Lake Chad - MEA","Lake Chad","MEA",78,18.6866027483628,217453.42130273,"78|MEA" +"Mediterranean Sea East Coast - MEA","Mediterranean Sea East Coast","MEA",85,9.74362741863968,100961.05251973,"85|MEA" +"Mediterranean South Coast - MEA","Mediterranean South Coast","MEA",87,54.2396087074357,560667.795583497,"87|MEA" +"Niger - MEA","Niger","MEA",95,14.0187105217764,160908.096721661,"95|MEA" +"Nile - MEA","Nile","MEA",96,188.55740761982,2234647.61686599,"96|MEA" +"Persian Gulf Coast - MEA","Persian Gulf Coast","MEA",115,23.9048734200622,260575.000054426,"115|MEA" +"Red Sea East Coast - MEA","Red Sea East Coast","MEA",120,47.7030593266775,550363.185337614,"120|MEA" +"Rift Valley - MEA","Rift Valley","MEA",121,1.25435641129526,15379.0603173346,"121|MEA" +"Tigris Euphrates - MEA","Tigris Euphrates","MEA",151,71.9904366697333,743265.006515017,"151|MEA" +"Atlantic Ocean Seaboard - NAM","Atlantic Ocean Seaboard","NAM",17,89.9637413068996,700660.987058833,"17|NAM" +"California - NAM","California","NAM",27,29.8547294373605,289651.698156503,"27|NAM" +"Caribbean - NAM","Caribbean","NAM",28,0.767455212300491,8984.76246971829,"28|NAM" +"Central America Pacific Coast - NAM","Central America Pacific Coast","NAM",33,1.68230511829849,17340.4750496719,"33|NAM" +"Columbia - NAM","Columbia","NAM",36,78.2981922647927,671067.401615413,"36|NAM" +"Fraser Pacific Arctic Coast - NAM","Fraser Pacific Arctic Coast","NAM",52,90.4007696815222,664913.166041331,"52|NAM" +"Great Basin - NAM","Great Basin","NAM",55,54.5130367817222,521495.876529328,"55|NAM" +"Gulf Coast - NAM","Gulf Coast","NAM",56,43.9155369881356,464467.439256995,"56|NAM" +"Gulf of Mexico North Atlantic Coast - NAM","Gulf of Mexico North Atlantic Coast","NAM",58,68.3636249240203,711651.869282991,"58|NAM" +"Hudson Bay Coast - NAM","Hudson Bay Coast","NAM",63,227.492553061493,1639382.89776352,"63|NAM" +"Mackenzie - NAM","Mackenzie","NAM",81,301.091966706351,1805892.48682057,"81|NAM" +"Mississippi Missouri - NAM","Mississippi Missouri","NAM",90,351.64515928903,3289922.31850528,"90|NAM" +"North America Colorado - NAM","North America Colorado","NAM",97,65.1967801169381,646780.249291032,"97|NAM" +"Northwest Territories - NAM","Northwest Territories","NAM",103,688.893716780571,2967257.05318731,"103|NAM" +"Northwestern United States - NAM","Northwestern United States","NAM",104,5.00126474100818,44964.9045360164,"104|NAM" +"Pacific and Arctic Coast - NAM","Pacific and Arctic Coast","NAM",109,339.631826458035,1826035.92595501,"109|NAM" +"Rio Grande Mexico Interior - NAM","Rio Grande Mexico Interior","NAM",122,33.1714279710499,343985.016673657,"122|NAM" +"Saskatchewan Nelson - NAM","Saskatchewan Nelson","NAM",126,143.523380425816,1110630.52389209,"126|NAM" +"Siberia West Coast - NAM","Siberia West Coast","NAM",132,0.280137249394989,2123.63819554413,"132|NAM" +"St. Lawrence - NAM","St. Lawrence","NAM",142,151.033246000236,1288105.38979251,"142|NAM" +"United States North Atlantic Coast - NAM","United States North Atlantic Coast","NAM",153,42.7239103444116,394964.457059373,"153|NAM" +"Australia East Coast - PAO","Australia East Coast","PAO",18,62.2659062567905,673854.478830054,"18|PAO" +"Australia Interior - PAO","Australia Interior","PAO",19,295.086247148118,3293619.40674352,"19|PAO" +"Australia North Coast - PAO","Australia North Coast","PAO",20,108.418249279836,1279972.36779375,"20|PAO" +"Australia South Coast - PAO","Australia South Coast","PAO",21,45.7445416536989,479722.112560549,"21|PAO" +"Australia West Coast - PAO","Australia West Coast","PAO",22,75.839530734079,833937.790836706,"22|PAO" +"Japan - PAO","Japan","PAO",71,38.0472743533459,372329.464848852,"71|PAO" +"Murray Darling - PAO","Murray Darling","PAO",91,100.492634660186,1054628.21948893,"91|PAO" +"New Zealand - PAO","New Zealand","PAO",94,29.2028826806936,269075.463577611,"94|PAO" +"Tasmania - PAO","Tasmania","PAO",149,7.42284523667053,68369.9489798718,"149|PAO" +"Bay of Bengal North East Coast - PAS","Bay of Bengal North East Coast","PAS",24,4.68225185333293,54082.068188585,"24|PAS" +"Gulf of Thailand Coast Chao Phraya - PAS","Gulf of Thailand Coast Chao Phraya","PAS",59,16.3312805637479,193025.558721343,"59|PAS" +"Irian Jaya Coast - PAS","Irian Jaya Coast","PAS",69,66.0011184417722,808375.684360009,"69|PAS" +"Irrawaddy Salween Sittang - PAS","Irrawaddy Salween Sittang","PAS",70,49.8278397542917,570205.770178016,"70|PAS" +"Java Timor - PAS","Java Timor","PAS",72,18.7374270110997,228450.784581086,"72|PAS" +"Kalimantan North Borneo Coast - PAS","Kalimantan North Borneo Coast","PAS",73,60.1272682255887,739353.476733488,"73|PAS" +"Mekong - PAS","Mekong","PAS",88,17.7801869887033,209514.666525866,"88|PAS" +"North and South Korea Bo Hai Korean Bay North Coast - PAS","North and South Korea Bo Hai Korean Bay North Coast","PAS",98,10.0243904710069,99821.5557770756,"98|PAS" +"Palau East Indonesia - PAS","Palau East Indonesia","PAS",110,5.15987255800387,63410.5982161751,"110|PAS" +"Papua New Guinea Coast - PAS","Papua New Guinea Coast","PAS",112,4.45717639398788,54590.5433353988,"112|PAS" +"Peninsula Malaysia - PAS","Peninsula Malaysia","PAS",114,23.5614982635156,286680.34490848,"114|PAS" +"Philippines - PAS","Philippines","PAS",117,24.5104711120172,294935.520067751,"117|PAS" +"Solomon Islands - PAS","Solomon Islands","PAS",133,2.99931469701944,36542.9713413,"133|PAS" +"South Pacific Islands - PAS","South Pacific Islands","PAS",140,4.26259632327691,49768.692118861,"140|PAS" +"Sulawesi - PAS","Sulawesi","PAS",143,15.5190669421079,190784.023565854,"143|PAS" +"Sumatra - PAS","Sumatra","PAS",144,38.3924853869776,471998.845610956,"144|PAS" +"Taiwan - PAS","Taiwan","PAS",147,3.21093858580542,36252.1186648962,"147|PAS" +"Amur - RCPA","Amur","RCPA",11,30.1956319821478,251372.325097875,"11|RCPA" +"Gobi Interior - RCPA","Gobi Interior","RCPA",54,113.072197782051,976075.059870249,"54|RCPA" +"Gulf of Thailand Coast Chao Phraya - RCPA","Gulf of Thailand Coast Chao Phraya","RCPA",59,3.351612549669,40579.3504289987,"59|RCPA" +"Hong Red River Xun Jiang South China Sea Coast - RCPA","Hong Red River Xun Jiang South China Sea Coast","RCPA",61,9.37996784724748,107416.711962196,"61|RCPA" +"Mekong - RCPA","Mekong","RCPA",88,33.6947431375878,398868.392381575,"88|RCPA" +"North and South Korea Bo Hai Korean Bay North Coast - RCPA","North and South Korea Bo Hai Korean Bay North Coast","RCPA",98,11.0991450754907,105478.349866917,"98|RCPA" +"Ob - RCPA","Ob","RCPA",105,1.33235626811204,11283.4832127971,"105|RCPA" +"Russia South East Coast - RCPA","Russia South East Coast","RCPA",123,1.85955795840788,17123.5984475687,"123|RCPA" +"Vietnam Coast - RCPA","Vietnam Coast","RCPA",156,16.2323358150857,192503.280435158,"156|RCPA" +"Yenisey - RCPA","Yenisey","RCPA",160,40.2430485401263,327631.524937414,"160|RCPA" +"Amu Darya - SAS","Amu Darya","SAS",10,16.7518985530722,166771.464109163,"10|SAS" +"Andaman Nicobar Islands - SAS","Andaman Nicobar Islands","SAS",12,0.611597628153476,7382.90877836589,"12|SAS" +"Arabian Sea Coast - SAS","Arabian Sea Coast","SAS",15,3.13868436830924,34848.1381913337,"15|SAS" +"Bay of Bengal North East Coast - SAS","Bay of Bengal North East Coast","SAS",24,3.56922846927028,40602.9640624049,"24|SAS" +"Caspian Sea East Coast - SAS","Caspian Sea East Coast","SAS",30,7.64529672859731,77637.2256248934,"30|SAS" +"Farahud Hamun-i-Mashkel Helmand - SAS","Farahud Hamun-i-Mashkel Helmand","SAS",50,42.9992462763145,454070.059092186,"50|SAS" +"Ganges Bramaputra - SAS","Ganges Bramaputra","SAS",53,114.574660805014,1265290.39826995,"53|SAS" +"India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS","India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai","SAS",65,106.088175287643,1240066.34942367,"65|SAS" +"India West Coast Tapti Narmada Mahi - SAS","India West Coast Tapti Narmada Mahi","SAS",66,27.1943864197254,315036.962117315,"66|SAS" +"Indus - SAS","Indus","SAS",67,73.6348024222214,768352.734831369,"67|SAS" +"Irrawaddy Salween Sittang - SAS","Irrawaddy Salween Sittang","SAS",70,1.56507592571198,17491.9034615122,"70|SAS" +"Persian Gulf Coast - SAS","Persian Gulf Coast","SAS",115,7.34503982196274,81273.2807386681,"115|SAS" +"Sabarmati - SAS","Sabarmati","SAS",124,47.4389324577409,525238.82529261,"124|SAS" +"Sri Lanka - SAS","Sri Lanka","SAS",141,5.3998273756006,65886.881826475,"141|SAS" +"Tarim Interior - SAS","Tarim Interior","SAS",148,0.212744215831223,2118.01341964893,"148|SAS" +"Adriatic Sea Greece Black Sea Coast - WEU","Adriatic Sea Greece Black Sea Coast","WEU",0,16.6025359517367,158496.723886438,"0|WEU" +"Africa North West Coast - WEU","Africa North West Coast","WEU",4,0.772579756796993,8357.74871883614,"4|WEU" +"Arctic Ocean Islands - WEU","Arctic Ocean Islands","WEU",16,657.836338923364,2148130.21261879,"16|WEU" +"Black Sea South Coast - WEU","Black Sea South Coast","WEU",26,33.5240895716625,318478.028610579,"26|WEU" +"Caspian Sea South West Coast - WEU","Caspian Sea South West Coast","WEU",31,3.1201578568498,29506.3162052805,"31|WEU" +"Danube - WEU","Danube","WEU",39,16.7541098606663,139167.596216366,"39|WEU" +"Denmark Germany Coast - WEU","Denmark Germany Coast","WEU",41,10.4655447067247,74244.066786136,"41|WEU" +"Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU","Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast","WEU",45,42.3993937137699,400725.215368285,"45|WEU" +"Ebro Spain France South Coast Rhone - WEU","Ebro Spain France South Coast Rhone","WEU",47,34.0133177742879,310081.867113216,"47|WEU" +"Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU","Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast","WEU",48,96.2858536295386,783670.905274237,"48|WEU" +"England Wales Scotland - WEU","England Wales Scotland","WEU",49,31.5159893579002,229392.173897566,"49|WEU" +"Finland Neva - WEU","Finland Neva","WEU",51,52.7651804765819,289747.214957132,"51|WEU" +"Iceland - WEU","Iceland","WEU",64,19.3621272616206,101871.903033485,"64|WEU" +"Ireland - WEU","Ireland","WEU",68,11.40036611847,84328.9691683287,"68|WEU" +"Mediterranean Sea East Coast - WEU","Mediterranean Sea East Coast","WEU",85,23.1805049967842,226174.475025327,"85|WEU" +"Mediterranean Sea Islands - WEU","Mediterranean Sea Islands","WEU",86,6.67917613655111,63898.6746765254,"86|WEU" +"Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU","Oder Wisla Neman Daugava Neva Poland Baltic Coast","WEU",106,0.758740232113975,5736.80476024672,"106|WEU" +"Po Italy East Coast - WEU","Po Italy East Coast","WEU",119,18.8146514060754,166467.625838251,"119|WEU" +"Scandinavia North Coast - WEU","Scandinavia North Coast","WEU",127,64.1439212397006,337093.248785287,"127|WEU" +"Scotland - WEU","Scotland","WEU",128,0.225422729512069,1385.17002493749,"128|WEU" +"Sweden - WEU","Sweden","WEU",145,84.6997755992802,478577.106430913,"145|WEU" +"Tiber Italy West Coast - WEU","Tiber Italy West Coast","WEU",150,9.34837735954965,86241.0600696874,"150|WEU" +"Tigris Euphrates - WEU","Tigris Euphrates","WEU",151,19.8155830410531,192100.93829125,"151|WEU" diff --git a/message_ix_models/data/water/delineation/basins_by_region_simpl_ZMB.csv b/message_ix_models/data/water/delineation/basins_by_region_simpl_ZMB.csv index 4205dac912..b44e6db0b6 100644 --- a/message_ix_models/data/water/delineation/basins_by_region_simpl_ZMB.csv +++ b/message_ix_models/data/water/delineation/basins_by_region_simpl_ZMB.csv @@ -1,3 +1,25 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e8784bfe14b9613acfa7ab9a22edb877a0ae929197949e5e8e476a91374573b5 -size 2263 +"","NAME","BASIN","REGION","BASIN_ID","area","area_km2","BCU_name" +"0","Eastern_1","Eastern","Zambia","31",0.523959234644462,6258.5580698919,"1|Eastern" +"1","Central_2","Central","Zambia","32",0.0815871847897459,970.510889363209,"2|Central" +"2","Lusaka_3","Lusaka","Zambia","32",0.799537665854889,9494.09442000237,"3|Lusaka" +"3","Central_4","Central","Zambia","33",3.60760898438715,43119.7619743396,"4|Central" +"4","Copperbelt_5","Copperbelt","Zambia","34",2.58304468887982,30985.2974803959,"5|Copperbelt" +"5","Lusaka_6","Lusaka","Zambia","33",0.66513975736225,7911.78785217012,"6|Lusaka" +"6","Lusaka_7","Lusaka","Zambia","34",0.56362395281543,6688.54837394216,"7|Lusaka" +"7","North-Western_8","North-Western","Zambia","34",3.43706970758245,41202.2918277751,"8|North-Western" +"8","Western_9","Western","Zambia","37",9.51807006516233,113006.817929057,"9|Western" +"9","Lusaka_10","Lusaka","Zambia","35",0.113152577372315,1338.98003930387,"10|Lusaka" +"10","Southern_11","Southern","Zambia","35",2.55097021780597,30041.2705948085,"11|Southern" +"11","Western_12","Western","Zambia","36",1.23996738231784,14617.3659250655,"12|Western" +"12","North-Western_13","North-Western","Zambia","37",6.97305737476054,83703.5176556987,"13|North-Western" +"13","Southern_14","Southern","Zambia","37",1.29347616772761,15242.3709165862,"14|Southern" +"14","Luapula_15","Luapula","Zambia","84",4.12292027912631,49885.3132551532,"15|Luapula" +"15","Muchinga_16","Muchinga","Zambia","84",3.11665223233439,37657.1546746454,"16|Muchinga" +"16","Northern_17","Northern","Zambia","84",4.95376630391797,60079.9030720852,"17|Northern" +"17","Northern_18","Northern","Zambia","85",1.30914888947857,15923.5994075535,"18|Northern" +"18","Central_19","Central","Zambia","84",0.833206036116116,10010.3989949136,"19|Central" +"19","Northern_20","Northern","Zambia","208",0.126487398005057,1538.31243855708,"20|Northern" +"20","Eastern_21","Eastern","Zambia","33",3.72949874341118,44666.8009195124,"21|Eastern" +"21","Southern_22","Southern","Zambia","34",1.8820233828308,22270.8044712217,"22|Southern" +"22","Muchinga_23","Muchinga","Zambia","33",4.07901206892867,49221.5274809364,"23|Muchinga" +"23","Central_24","Central","Zambia","34",4.61958483596155,54967.4760221014,"24|Central" diff --git a/message_ix_models/data/water/delineation/basins_country_R11.csv b/message_ix_models/data/water/delineation/basins_country_R11.csv index c6dbe62962..04a2a9c06f 100644 --- a/message_ix_models/data/water/delineation/basins_country_R11.csv +++ b/message_ix_models/data/water/delineation/basins_country_R11.csv @@ -1,3 +1,2211 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c9234224ae7455e2a9d81ab89c55bb1fb439a0c77fe4b30b1f194b00ce6b1a1f -size 296550 +FID,Shape *,FID_basins,NAME,BASIN,REGION,BASIN_ID,area,area_km2,BCU_name,FID_gadm_c,ISO,NAME_1,REGION_1,STATUS,CONTINENT +0,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,21,BOL,Bolivia,LAM,DEV,South America +1,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,22,BRA,Brazil,LAM,DEV,South America +2,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,48,ECU,Ecuador,LAM,DEV,South America +3,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,67,GUY,Guyana,LAM,DEV,South America +4,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,129,PER,Peru,LAM,DEV,South America +5,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,152,SUR,Suriname,LAM,DEV,South America +6,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,184,GUF,French Guiana,LAM,DEV,South America +7,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,48,ECU,Ecuador,LAM,DEV,South America +8,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,128,PAN,Panama,LAM,DEV,North America +9,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,129,PER,Peru,LAM,DEV,South America +10,Polygon,86,East Brazil South Atlantic Coast - LAM,East Brazil South Atlantic Coast,LAM,46,23.323339,285367.6709,46|LAM,22,BRA,Brazil,LAM,DEV,South America +11,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,5,ARG,Argentina,LAM,DEV,South America +12,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,21,BOL,Bolivia,LAM,DEV,South America +13,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,22,BRA,Brazil,LAM,DEV,South America +14,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,135,PRY,Paraguay,LAM,DEV,South America +15,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,5,ARG,Argentina,LAM,DEV,South America +16,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,21,BOL,Bolivia,LAM,DEV,South America +17,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,30,CHL,Chile,LAM,DEV,South America +18,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,129,PER,Peru,LAM,DEV,South America +19,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,5,ARG,Argentina,LAM,DEV,South America +20,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,30,CHL,Chile,LAM,DEV,South America +21,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,5,ARG,Argentina,LAM,DEV,South America +22,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,30,CHL,Chile,LAM,DEV,South America +23,Polygon,93,North Brazil South Atlantic Coast - LAM,North Brazil South Atlantic Coast,LAM,99,22.014521,270247.0116,99|LAM,22,BRA,Brazil,LAM,DEV,South America +24,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,5,ARG,Argentina,LAM,DEV,South America +25,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,21,BOL,Bolivia,LAM,DEV,South America +26,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +27,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,129,PER,Peru,LAM,DEV,South America +28,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,22,BRA,Brazil,LAM,DEV,South America +29,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,67,GUY,Guyana,LAM,DEV,South America +30,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,152,SUR,Suriname,LAM,DEV,South America +31,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,184,GUF,French Guiana,LAM,DEV,South America +32,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,22,BRA,Brazil,LAM,DEV,South America +33,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,67,GUY,Guyana,LAM,DEV,South America +34,Polygon,97,Pampas Region North Argentina South Atlantic Coast - LAM,Pampas Region North Argentina South Atlantic Coast,LAM,111,39.348051,391688.5876,111|LAM,5,ARG,Argentina,LAM,DEV,South America +35,Polygon,98,Parnaiba - LAM,Parnaiba,LAM,113,27.156675,331490.6534,113|LAM,22,BRA,Brazil,LAM,DEV,South America +36,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,30,CHL,Chile,LAM,DEV,South America +37,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,48,ECU,Ecuador,LAM,DEV,South America +38,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,129,PER,Peru,LAM,DEV,South America +39,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +40,Polygon,102,Soth Chile Pacific Coast - LAM,Soth Chile Pacific Coast,LAM,134,0.647677,7971.802861,134|LAM,48,ECU,Ecuador,LAM,DEV,South America +41,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,5,ARG,Argentina,LAM,DEV,South America +42,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,30,CHL,Chile,LAM,DEV,South America +43,Polygon,104,South Chile Pacific Coast - LAM,South Chile Pacific Coast,LAM,139,39.789527,323444.133,139|LAM,5,ARG,Argentina,LAM,DEV,South America +44,Polygon,104,South Chile Pacific Coast - LAM,South Chile Pacific Coast,LAM,139,39.789527,323444.133,139|LAM,30,CHL,Chile,LAM,DEV,South America +45,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +46,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,5,ARG,Argentina,LAM,DEV,South America +47,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,22,BRA,Brazil,LAM,DEV,South America +48,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,172,URY,Uruguay,LAM,DEV,South America +49,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,48,ECU,Ecuador,LAM,DEV,South America +50,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,48,ECU,Ecuador,LAM,DEV,South America +51,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,21,BOL,Bolivia,LAM,DEV,South America +52,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,21,BOL,Bolivia,LAM,DEV,South America +53,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,22,BRA,Brazil,LAM,DEV,South America +54,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,22,BRA,Brazil,LAM,DEV,South America +55,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,21,BOL,Bolivia,LAM,DEV,South America +56,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,21,BOL,Bolivia,LAM,DEV,South America +57,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,129,PER,Peru,LAM,DEV,South America +58,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,129,PER,Peru,LAM,DEV,South America +59,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,22,BRA,Brazil,LAM,DEV,South America +60,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,22,BRA,Brazil,LAM,DEV,South America +61,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,67,GUY,Guyana,LAM,DEV,South America +62,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,67,GUY,Guyana,LAM,DEV,South America +63,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,152,SUR,Suriname,LAM,DEV,South America +64,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,152,SUR,Suriname,LAM,DEV,South America +65,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,184,GUF,French Guiana,LAM,DEV,South America +66,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,184,GUF,French Guiana,LAM,DEV,South America +67,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,22,BRA,Brazil,LAM,DEV,South America +68,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,22,BRA,Brazil,LAM,DEV,South America +69,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,48,ECU,Ecuador,LAM,DEV,South America +70,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,48,ECU,Ecuador,LAM,DEV,South America +71,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,129,PER,Peru,LAM,DEV,South America +72,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,129,PER,Peru,LAM,DEV,South America +73,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,22,BRA,Brazil,LAM,DEV,South America +74,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +75,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,48,ECU,Ecuador,LAM,DEV,South America +76,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,48,ECU,Ecuador,LAM,DEV,South America +77,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,129,PER,Peru,LAM,DEV,South America +78,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,129,PER,Peru,LAM,DEV,South America +79,Polygon,86,East Brazil South Atlantic Coast - LAM,East Brazil South Atlantic Coast,LAM,46,23.323339,285367.6709,46|LAM,22,BRA,Brazil,LAM,DEV,South America +80,Polygon,98,Parnaiba - LAM,Parnaiba,LAM,113,27.156675,331490.6534,113|LAM,22,BRA,Brazil,LAM,DEV,South America +81,Polygon,86,East Brazil South Atlantic Coast - LAM,East Brazil South Atlantic Coast,LAM,46,23.323339,285367.6709,46|LAM,22,BRA,Brazil,LAM,DEV,South America +82,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +83,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,5,ARG,Argentina,LAM,DEV,South America +84,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,5,ARG,Argentina,LAM,DEV,South America +85,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,21,BOL,Bolivia,LAM,DEV,South America +86,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,21,BOL,Bolivia,LAM,DEV,South America +87,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,5,ARG,Argentina,LAM,DEV,South America +88,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,5,ARG,Argentina,LAM,DEV,South America +89,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,5,ARG,Argentina,LAM,DEV,South America +90,Polygon,97,Pampas Region North Argentina South Atlantic Coast - LAM,Pampas Region North Argentina South Atlantic Coast,LAM,111,39.348051,391688.5876,111|LAM,5,ARG,Argentina,LAM,DEV,South America +91,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,22,BRA,Brazil,LAM,DEV,South America +92,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +93,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,22,BRA,Brazil,LAM,DEV,South America +94,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +95,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,5,ARG,Argentina,LAM,DEV,South America +96,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,5,ARG,Argentina,LAM,DEV,South America +97,Polygon,87,La Plata - LAM,La Plata,LAM,75,235.108252,2659219.123,75|LAM,22,BRA,Brazil,LAM,DEV,South America +98,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,22,BRA,Brazil,LAM,DEV,South America +99,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,5,ARG,Argentina,LAM,DEV,South America +100,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,5,ARG,Argentina,LAM,DEV,South America +101,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,30,CHL,Chile,LAM,DEV,South America +102,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,30,CHL,Chile,LAM,DEV,South America +103,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,21,BOL,Bolivia,LAM,DEV,South America +104,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,21,BOL,Bolivia,LAM,DEV,South America +105,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,30,CHL,Chile,LAM,DEV,South America +106,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +107,Polygon,88,La Puna Region - LAM,La Puna Region,LAM,76,28.329095,326103.0298,76|LAM,129,PER,Peru,LAM,DEV,South America +108,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,129,PER,Peru,LAM,DEV,South America +109,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,5,ARG,Argentina,LAM,DEV,South America +110,Polygon,97,Pampas Region North Argentina South Atlantic Coast - LAM,Pampas Region North Argentina South Atlantic Coast,LAM,111,39.348051,391688.5876,111|LAM,5,ARG,Argentina,LAM,DEV,South America +111,Polygon,90,Mar Chiquita Salinas Grandes - LAM,Mar Chiquita Salinas Grandes,LAM,84,28.695035,307893.829,84|LAM,5,ARG,Argentina,LAM,DEV,South America +112,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,5,ARG,Argentina,LAM,DEV,South America +113,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,5,ARG,Argentina,LAM,DEV,South America +114,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,5,ARG,Argentina,LAM,DEV,South America +115,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,30,CHL,Chile,LAM,DEV,South America +116,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +117,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,5,ARG,Argentina,LAM,DEV,South America +118,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,5,ARG,Argentina,LAM,DEV,South America +119,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,5,ARG,Argentina,LAM,DEV,South America +120,Polygon,104,South Chile Pacific Coast - LAM,South Chile Pacific Coast,LAM,139,39.789527,323444.133,139|LAM,5,ARG,Argentina,LAM,DEV,South America +121,Polygon,91,Negro Central Patagonia South Argentina South Atlantic Coast - LAM,Negro Central Patagonia South Argentina South Atlantic Coast,LAM,93,79.949347,705672.6212,93|LAM,30,CHL,Chile,LAM,DEV,South America +122,Polygon,104,South Chile Pacific Coast - LAM,South Chile Pacific Coast,LAM,139,39.789527,323444.133,139|LAM,30,CHL,Chile,LAM,DEV,South America +123,Polygon,93,North Brazil South Atlantic Coast - LAM,North Brazil South Atlantic Coast,LAM,99,22.014521,270247.0116,99|LAM,22,BRA,Brazil,LAM,DEV,South America +124,Polygon,98,Parnaiba - LAM,Parnaiba,LAM,113,27.156675,331490.6534,113|LAM,22,BRA,Brazil,LAM,DEV,South America +125,Polygon,93,North Brazil South Atlantic Coast - LAM,North Brazil South Atlantic Coast,LAM,99,22.014521,270247.0116,99|LAM,22,BRA,Brazil,LAM,DEV,South America +126,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +127,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +128,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,30,CHL,Chile,LAM,DEV,South America +129,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,129,PER,Peru,LAM,DEV,South America +130,Polygon,99,Peru Pacific Coast - LAM,Peru Pacific Coast,LAM,116,24.174985,290682.1143,116|LAM,129,PER,Peru,LAM,DEV,South America +131,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,5,ARG,Argentina,LAM,DEV,South America +132,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,5,ARG,Argentina,LAM,DEV,South America +133,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +134,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,30,CHL,Chile,LAM,DEV,South America +135,Polygon,94,North Chile Pacific Coast - LAM,North Chile Pacific Coast,LAM,100,39.160082,413908.7744,100|LAM,30,CHL,Chile,LAM,DEV,South America +136,Polygon,104,South Chile Pacific Coast - LAM,South Chile Pacific Coast,LAM,139,39.789527,323444.133,139|LAM,30,CHL,Chile,LAM,DEV,South America +137,Polygon,97,Pampas Region North Argentina South Atlantic Coast - LAM,Pampas Region North Argentina South Atlantic Coast,LAM,111,39.348051,391688.5876,111|LAM,5,ARG,Argentina,LAM,DEV,South America +138,Polygon,103,South America Colorado - LAM,South America Colorado,LAM,137,39.41351,400825.3773,137|LAM,5,ARG,Argentina,LAM,DEV,South America +139,Polygon,98,Parnaiba - LAM,Parnaiba,LAM,113,27.156675,331490.6534,113|LAM,22,BRA,Brazil,LAM,DEV,South America +140,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +141,Polygon,98,Parnaiba - LAM,Parnaiba,LAM,113,27.156675,331490.6534,113|LAM,22,BRA,Brazil,LAM,DEV,South America +142,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +143,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +144,Polygon,105,Tocantins - LAM,Tocantins,LAM,152,79.3283,959983.7553,152|LAM,22,BRA,Brazil,LAM,DEV,South America +145,Polygon,101,Sao Francisco - LAM,Sao Francisco,LAM,125,53.092893,634831.2941,125|LAM,22,BRA,Brazil,LAM,DEV,South America +146,Polygon,106,Uruguay Brazil South Atlantic Coast - LAM,Uruguay Brazil South Atlantic Coast,LAM,155,107.977548,1207149.813,155|LAM,22,BRA,Brazil,LAM,DEV,South America +147,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,85,KEN,Kenya,AFR,DEV,Africa +148,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +149,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,115,MWI,Malawi,AFR,DEV,Africa +150,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,149,SOM,Somalia,AFR,DEV,Africa +151,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +152,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +153,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +154,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,2,AGO,Angola,AFR,DEV,Eurasia +155,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,26,BWA,Botswana,AFR,DEV,Africa +156,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,117,NAM,Namibia,AFR,DEV,Africa +157,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +158,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,12,BEN,Benin,AFR,DEV,Africa +159,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,2,AGO,Angola,AFR,DEV,Eurasia +160,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +161,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,117,NAM,Namibia,AFR,DEV,Africa +162,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,2,AGO,Angola,AFR,DEV,Eurasia +163,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,10,BDI,Burundi,AFR,DEV,Africa +164,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +165,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,33,CMR,Cameroon,AFR,DEV,Africa +166,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +167,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,35,COG,Congo,AFR,DEV,Africa +168,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,57,GAB,Gabon,AFR,DEV,Africa +169,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,115,MWI,Malawi,AFR,DEV,Africa +170,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,141,RWA,Rwanda,AFR,DEV,Africa +171,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +172,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,170,UGA,Uganda,AFR,DEV,Africa +173,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,182,ZMB,Zambia,AFR,DEV,Africa +174,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,185,SSD,South Sudan,AFR,DEV,Africa +175,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,2,AGO,Angola,AFR,DEV,Eurasia +176,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +177,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,33,CMR,Cameroon,AFR,DEV,Africa +178,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +179,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,35,COG,Congo,AFR,DEV,Africa +180,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,57,GAB,Gabon,AFR,DEV,Africa +181,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,64,GNQ,Equatorial Guinea,AFR,DEV,Africa +182,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,151,STP,Sao Tome and Principe,AFR,DEV,Africa +183,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,26,BWA,Botswana,AFR,DEV,Africa +184,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +185,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,181,ZAF,South Africa,AFR,DEV,Africa +186,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +187,Polygon,13,Madagascar - AFR,Madagascar,AFR,82,51.051479,592819.4189,82|AFR,37,COM,Comoros,AFR,DEV,Africa +188,Polygon,13,Madagascar - AFR,Madagascar,AFR,82,51.051479,592819.4189,82|AFR,103,MDG,Madagascar,AFR,DEV,Africa +189,Polygon,14,Namibia Coast - AFR,Namibia Coast,AFR,92,22.833145,260117.7969,92|AFR,117,NAM,Namibia,AFR,DEV,Africa +190,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,26,BWA,Botswana,AFR,DEV,Africa +191,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,96,LSO,Lesotho,AFR,DEV,Africa +192,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,117,NAM,Namibia,AFR,DEV,Africa +193,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,181,ZAF,South Africa,AFR,DEV,Africa +194,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,85,KEN,Kenya,AFR,DEV,Africa +195,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,149,SOM,Somalia,AFR,DEV,Africa +196,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,96,LSO,Lesotho,AFR,DEV,Africa +197,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +198,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,156,SWZ,Swaziland,AFR,DEV,Africa +199,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,181,ZAF,South Africa,AFR,DEV,Africa +200,Polygon,22,South Africa West Coast - AFR,South Africa West Coast,AFR,136,10.549083,110986.6216,136|AFR,117,NAM,Namibia,AFR,DEV,Africa +201,Polygon,22,South Africa West Coast - AFR,South Africa West Coast,AFR,136,10.549083,110986.6216,136|AFR,181,ZAF,South Africa,AFR,DEV,Africa +202,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,2,AGO,Angola,AFR,DEV,Eurasia +203,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,26,BWA,Botswana,AFR,DEV,Africa +204,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +205,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +206,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,115,MWI,Malawi,AFR,DEV,Africa +207,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,117,NAM,Namibia,AFR,DEV,Africa +208,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +209,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,182,ZMB,Zambia,AFR,DEV,Africa +210,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +211,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,85,KEN,Kenya,AFR,DEV,Africa +212,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,185,SSD,South Sudan,AFR,DEV,Africa +213,Polygon,146,Australia East Coast - PAO,Australia East Coast,PAO,18,62.264179,673836.2456,18|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +214,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +215,Polygon,148,Australia North Coast - PAO,Australia North Coast,PAO,20,108.420939,1280003.421,20|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +216,Polygon,149,Australia South Coast - PAO,Australia South Coast,PAO,21,45.745022,479727.488,21|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +217,Polygon,150,Australia West Coast - PAO,Australia West Coast,PAO,22,75.839063,833933.0025,22|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +218,Polygon,152,Murray Darling - PAO,Murray Darling,PAO,91,100.489952,1054599.473,91|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +219,Polygon,153,New Zealand - PAO,New Zealand,PAO,94,29.20282,269074.8488,94|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +220,Polygon,154,Tasmania - PAO,Tasmania,PAO,149,7.422845,68369.94898,149|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +221,Polygon,157,Irian Jaya Coast - PAS,Irian Jaya Coast,PAS,69,66.001314,808378.0354,69|PAS,7,AUS,Australia,PAO,IND,Australia Pacific +222,Polygon,157,Irian Jaya Coast - PAS,Irian Jaya Coast,PAS,69,66.001314,808378.0354,69|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +223,Polygon,157,Irian Jaya Coast - PAS,Irian Jaya Coast,PAS,69,66.001314,808378.0354,69|PAS,131,PNG,Papua New Guinea,PAS,DEV,Australia Pacific +224,Polygon,159,Java Timor - PAS,Java Timor,PAS,72,18.737427,228450.7846,72|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +225,Polygon,159,Java Timor - PAS,Java Timor,PAS,72,18.737427,228450.7846,72|PAS,163,TLS,East Timor,PAS,DEV,Australia Pacific +226,Polygon,160,Kalimantan North Borneo Coast - PAS,Kalimantan North Borneo Coast,PAS,73,60.127605,739357.6064,73|PAS,24,BRN,Brunei Darussalam,PAS,DEV,Australia Pacific +227,Polygon,160,Kalimantan North Borneo Coast - PAS,Kalimantan North Borneo Coast,PAS,73,60.127605,739357.6064,73|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +228,Polygon,160,Kalimantan North Borneo Coast - PAS,Kalimantan North Borneo Coast,PAS,73,60.127605,739357.6064,73|PAS,116,MYS,Malaysia,PAS,DEV,Eurasia +229,Polygon,163,Palau East Indonesia - PAS,Palau East Indonesia,PAS,110,5.159581,63407.01202,110|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +230,Polygon,164,Papua New Guinea Coast - PAS,Papua New Guinea Coast,PAS,112,4.457176,54590.54334,112|PAS,131,PNG,Papua New Guinea,PAS,DEV,Australia Pacific +231,Polygon,167,Solomon Islands - PAS,Solomon Islands,PAS,133,2.999315,36542.97134,133|PAS,131,PNG,Papua New Guinea,PAS,DEV,Australia Pacific +232,Polygon,167,Solomon Islands - PAS,Solomon Islands,PAS,133,2.999315,36542.97134,133|PAS,146,SLB,Solomon Islands,PAO,DEV,Australia Pacific +233,Polygon,168,South Pacific Islands - PAS,South Pacific Islands,PAS,140,4.262596,49768.69212,140|PAS,118,NCL,New Caledonia,PAO,DEV,Australia Pacific +234,Polygon,168,South Pacific Islands - PAS,South Pacific Islands,PAS,140,4.262596,49768.69212,140|PAS,146,SLB,Solomon Islands,PAO,DEV,Australia Pacific +235,Polygon,168,South Pacific Islands - PAS,South Pacific Islands,PAS,140,4.262596,49768.69212,140|PAS,178,VUT,Vanuatu,PAS,DEV,Australia Pacific +236,Polygon,169,Sulawesi - PAS,Sulawesi,PAS,143,15.519024,190783.5016,143|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +237,Polygon,170,Sumatra - PAS,Sumatra,PAS,144,38.392518,471999.2462,144|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +238,Polygon,185,Sri Lanka - SAS,Sri Lanka,SAS,141,5.399827,65886.88183,141|SAS,95,LKA,Sri Lanka,SAS,DEV,Eurasia +239,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +240,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +241,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,85,KEN,Kenya,AFR,DEV,Africa +242,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,85,KEN,Kenya,AFR,DEV,Africa +243,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,149,SOM,Somalia,AFR,DEV,Africa +244,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,149,SOM,Somalia,AFR,DEV,Africa +245,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +246,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +247,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,115,MWI,Malawi,AFR,DEV,Africa +248,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,115,MWI,Malawi,AFR,DEV,Africa +249,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +250,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +251,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +252,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +253,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +254,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +255,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +256,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +257,Polygon,1,Africa Indian Ocean Coast - AFR,Africa Indian Ocean Coast,AFR,2,21.12355,243855.5206,2|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +258,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +259,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,2,AGO,Angola,AFR,DEV,Eurasia +260,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,2,AGO,Angola,AFR,DEV,Eurasia +261,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,117,NAM,Namibia,AFR,DEV,Africa +262,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,117,NAM,Namibia,AFR,DEV,Africa +263,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,26,BWA,Botswana,AFR,DEV,Africa +264,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,26,BWA,Botswana,AFR,DEV,Africa +265,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +266,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +267,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,117,NAM,Namibia,AFR,DEV,Africa +268,Polygon,14,Namibia Coast - AFR,Namibia Coast,AFR,92,22.833145,260117.7969,92|AFR,117,NAM,Namibia,AFR,DEV,Africa +269,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,26,BWA,Botswana,AFR,DEV,Africa +270,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,26,BWA,Botswana,AFR,DEV,Africa +271,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,117,NAM,Namibia,AFR,DEV,Africa +272,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,117,NAM,Namibia,AFR,DEV,Africa +273,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,2,AGO,Angola,AFR,DEV,Eurasia +274,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,2,AGO,Angola,AFR,DEV,Eurasia +275,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,26,BWA,Botswana,AFR,DEV,Africa +276,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,26,BWA,Botswana,AFR,DEV,Africa +277,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,117,NAM,Namibia,AFR,DEV,Africa +278,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,117,NAM,Namibia,AFR,DEV,Africa +279,Polygon,5,Africa South Interior - AFR,Africa South Interior,AFR,6,74.323188,863900.7108,6|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +280,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +281,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,2,AGO,Angola,AFR,DEV,Eurasia +282,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,2,AGO,Angola,AFR,DEV,Eurasia +283,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,117,NAM,Namibia,AFR,DEV,Africa +284,Polygon,14,Namibia Coast - AFR,Namibia Coast,AFR,92,22.833145,260117.7969,92|AFR,117,NAM,Namibia,AFR,DEV,Africa +285,Polygon,8,Angola Coast - AFR,Angola Coast,AFR,13,42.132728,506476.2136,13|AFR,2,AGO,Angola,AFR,DEV,Eurasia +286,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,2,AGO,Angola,AFR,DEV,Eurasia +287,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +288,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +289,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,33,CMR,Cameroon,AFR,DEV,Africa +290,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,33,CMR,Cameroon,AFR,DEV,Africa +291,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +292,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +293,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,35,COG,Congo,AFR,DEV,Africa +294,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,35,COG,Congo,AFR,DEV,Africa +295,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,57,GAB,Gabon,AFR,DEV,Africa +296,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,57,GAB,Gabon,AFR,DEV,Africa +297,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,2,AGO,Angola,AFR,DEV,Eurasia +298,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,2,AGO,Angola,AFR,DEV,Eurasia +299,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +300,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +301,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,115,MWI,Malawi,AFR,DEV,Africa +302,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,115,MWI,Malawi,AFR,DEV,Africa +303,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +304,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +305,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,182,ZMB,Zambia,AFR,DEV,Africa +306,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,182,ZMB,Zambia,AFR,DEV,Africa +307,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,26,BWA,Botswana,AFR,DEV,Africa +308,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,26,BWA,Botswana,AFR,DEV,Africa +309,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,181,ZAF,South Africa,AFR,DEV,Africa +310,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,181,ZAF,South Africa,AFR,DEV,Africa +311,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +312,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,112,MOZ,Mozambique,AFR,DEV,Africa +313,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,181,ZAF,South Africa,AFR,DEV,Africa +314,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,181,ZAF,South Africa,AFR,DEV,Africa +315,Polygon,12,Limpopo - AFR,Limpopo,AFR,80,36.342423,411554.7312,80|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +316,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,183,ZWE,Zimbabwe,AFR,DEV,Africa +317,Polygon,14,Namibia Coast - AFR,Namibia Coast,AFR,92,22.833145,260117.7969,92|AFR,117,NAM,Namibia,AFR,DEV,Africa +318,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,117,NAM,Namibia,AFR,DEV,Africa +319,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,96,LSO,Lesotho,AFR,DEV,Africa +320,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,96,LSO,Lesotho,AFR,DEV,Africa +321,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,181,ZAF,South Africa,AFR,DEV,Africa +322,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,181,ZAF,South Africa,AFR,DEV,Africa +323,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,117,NAM,Namibia,AFR,DEV,Africa +324,Polygon,22,South Africa West Coast - AFR,South Africa West Coast,AFR,136,10.549083,110986.6216,136|AFR,117,NAM,Namibia,AFR,DEV,Africa +325,Polygon,17,Orange - AFR,Orange,AFR,107,89.098734,975747.9784,107|AFR,181,ZAF,South Africa,AFR,DEV,Africa +326,Polygon,22,South Africa West Coast - AFR,South Africa West Coast,AFR,136,10.549083,110986.6216,136|AFR,181,ZAF,South Africa,AFR,DEV,Africa +327,Polygon,21,South Africa South Coast - AFR,South Africa South Coast,AFR,135,37.848173,402661.738,135|AFR,181,ZAF,South Africa,AFR,DEV,Africa +328,Polygon,22,South Africa West Coast - AFR,South Africa West Coast,AFR,136,10.549083,110986.6216,136|AFR,181,ZAF,South Africa,AFR,DEV,Africa +329,Polygon,146,Australia East Coast - PAO,Australia East Coast,PAO,18,62.264179,673836.2456,18|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +330,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +331,Polygon,146,Australia East Coast - PAO,Australia East Coast,PAO,18,62.264179,673836.2456,18|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +332,Polygon,148,Australia North Coast - PAO,Australia North Coast,PAO,20,108.420939,1280003.421,20|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +333,Polygon,146,Australia East Coast - PAO,Australia East Coast,PAO,18,62.264179,673836.2456,18|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +334,Polygon,152,Murray Darling - PAO,Murray Darling,PAO,91,100.489952,1054599.473,91|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +335,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +336,Polygon,148,Australia North Coast - PAO,Australia North Coast,PAO,20,108.420939,1280003.421,20|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +337,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +338,Polygon,149,Australia South Coast - PAO,Australia South Coast,PAO,21,45.745022,479727.488,21|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +339,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +340,Polygon,150,Australia West Coast - PAO,Australia West Coast,PAO,22,75.839063,833933.0025,22|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +341,Polygon,147,Australia Interior - PAO,Australia Interior,PAO,19,295.095598,3293726.566,19|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +342,Polygon,152,Murray Darling - PAO,Murray Darling,PAO,91,100.489952,1054599.473,91|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +343,Polygon,148,Australia North Coast - PAO,Australia North Coast,PAO,20,108.420939,1280003.421,20|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +344,Polygon,150,Australia West Coast - PAO,Australia West Coast,PAO,22,75.839063,833933.0025,22|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +345,Polygon,149,Australia South Coast - PAO,Australia South Coast,PAO,21,45.745022,479727.488,21|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +346,Polygon,150,Australia West Coast - PAO,Australia West Coast,PAO,22,75.839063,833933.0025,22|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +347,Polygon,149,Australia South Coast - PAO,Australia South Coast,PAO,21,45.745022,479727.488,21|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +348,Polygon,152,Murray Darling - PAO,Murray Darling,PAO,91,100.489952,1054599.473,91|PAO,7,AUS,Australia,PAO,IND,Australia Pacific +349,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,113,MRT,Mauritania,AFR,DEV,Africa +350,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,186,ESH,Western Sahara,AFR,DEV,Africa +351,Polygon,80,California - LAM,California,LAM,27,12.277099,133749.3261,27|LAM,105,MEX,Mexico,LAM,DEV,North America +352,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,17,BHS,Bahamas,LAM,DEV,Carribean +353,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,40,CUB,Cuba,LAM,DEV,Carribean +354,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,46,DOM,Dominican Republic,LAM,DEV,Carribean +355,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,71,HTI,Haiti,LAM,DEV,Carribean +356,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,81,JAM,Jamaica,LAM,DEV,Carribean +357,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,105,MEX,Mexico,LAM,DEV,North America +358,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,105,MEX,Mexico,LAM,DEV,North America +359,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,101,MAR,Morocco,MEA,DEV,Africa +360,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,113,MRT,Mauritania,AFR,DEV,Africa +361,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +362,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,28,CAN,Canada,NAM,IND,North America +363,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,105,MEX,Mexico,LAM,DEV,North America +364,Polygon,127,Caribbean - NAM,Caribbean,NAM,28,0.767455,8984.76247,28|NAM,133,PRI,Puerto Rico,NAM,IND,Carribean +365,Polygon,128,Central America Pacific Coast - NAM,Central America Pacific Coast,NAM,33,1.682759,17345.26534,33|NAM,105,MEX,Mexico,LAM,DEV,North America +366,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,28,CAN,Canada,NAM,IND,North America +367,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,28,CAN,Canada,NAM,IND,North America +368,Polygon,134,Hudson Bay Coast - NAM,Hudson Bay Coast,NAM,63,227.494601,1639399.141,63|NAM,28,CAN,Canada,NAM,IND,North America +369,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +370,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,28,CAN,Canada,NAM,IND,North America +371,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,105,MEX,Mexico,LAM,DEV,North America +372,Polygon,138,Northwest Territories - NAM,Northwest Territories,NAM,103,688.893669,2967257.122,103|NAM,28,CAN,Canada,NAM,IND,North America +373,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,28,CAN,Canada,NAM,IND,North America +374,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,105,MEX,Mexico,LAM,DEV,North America +375,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +376,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,28,CAN,Canada,NAM,IND,North America +377,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,28,CAN,Canada,NAM,IND,North America +378,Polygon,188,Africa North West Coast - WEU,Africa North West Coast,WEU,4,0.77258,8357.748719,4|WEU,134,PRT,Portugal,WEU,IND,Eurasia +379,Polygon,189,Arctic Ocean Islands - WEU,Arctic Ocean Islands,WEU,16,657.836156,2148129.875,16|WEU,187,GRL,Greenland,NAM,IND,North America +380,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,134,PRT,Portugal,WEU,IND,Eurasia +381,Polygon,199,Iceland - WEU,Iceland,WEU,64,19.362127,101871.903,64|WEU,78,ISL,Iceland,WEU,IND,Eurasia +382,Polygon,200,Ireland - WEU,Ireland,WEU,68,11.400366,84328.96917,68|WEU,75,IRL,Ireland,WEU,IND,Eurasia +383,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,113,MRT,Mauritania,AFR,DEV,Africa +384,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,113,MRT,Mauritania,AFR,DEV,Africa +385,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,186,ESH,Western Sahara,AFR,DEV,Africa +386,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +387,Polygon,80,California - LAM,California,LAM,27,12.277099,133749.3261,27|LAM,105,MEX,Mexico,LAM,DEV,North America +388,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,105,MEX,Mexico,LAM,DEV,North America +389,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,105,MEX,Mexico,LAM,DEV,North America +390,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,105,MEX,Mexico,LAM,DEV,North America +391,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,105,MEX,Mexico,LAM,DEV,North America +392,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,105,MEX,Mexico,LAM,DEV,North America +393,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,28,CAN,Canada,NAM,IND,North America +394,Polygon,134,Hudson Bay Coast - NAM,Hudson Bay Coast,NAM,63,227.494601,1639399.141,63|NAM,28,CAN,Canada,NAM,IND,North America +395,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,28,CAN,Canada,NAM,IND,North America +396,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,28,CAN,Canada,NAM,IND,North America +397,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,28,CAN,Canada,NAM,IND,North America +398,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,28,CAN,Canada,NAM,IND,North America +399,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,105,MEX,Mexico,LAM,DEV,North America +400,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,105,MEX,Mexico,LAM,DEV,North America +401,Polygon,128,Central America Pacific Coast - NAM,Central America Pacific Coast,NAM,33,1.682759,17345.26534,33|NAM,105,MEX,Mexico,LAM,DEV,North America +402,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,105,MEX,Mexico,LAM,DEV,North America +403,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,28,CAN,Canada,NAM,IND,North America +404,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,28,CAN,Canada,NAM,IND,North America +405,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,28,CAN,Canada,NAM,IND,North America +406,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +407,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,28,CAN,Canada,NAM,IND,North America +408,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +409,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,28,CAN,Canada,NAM,IND,North America +410,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +411,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,28,CAN,Canada,NAM,IND,North America +412,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,28,CAN,Canada,NAM,IND,North America +413,Polygon,134,Hudson Bay Coast - NAM,Hudson Bay Coast,NAM,63,227.494601,1639399.141,63|NAM,28,CAN,Canada,NAM,IND,North America +414,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +415,Polygon,134,Hudson Bay Coast - NAM,Hudson Bay Coast,NAM,63,227.494601,1639399.141,63|NAM,28,CAN,Canada,NAM,IND,North America +416,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,28,CAN,Canada,NAM,IND,North America +417,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +418,Polygon,138,Northwest Territories - NAM,Northwest Territories,NAM,103,688.893669,2967257.122,103|NAM,28,CAN,Canada,NAM,IND,North America +419,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +420,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,28,CAN,Canada,NAM,IND,North America +421,Polygon,135,Mackenzie - NAM,Mackenzie,NAM,81,301.08937,1805875.598,81|NAM,28,CAN,Canada,NAM,IND,North America +422,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +423,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,28,CAN,Canada,NAM,IND,North America +424,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +425,Polygon,138,Northwest Territories - NAM,Northwest Territories,NAM,103,688.893669,2967257.122,103|NAM,28,CAN,Canada,NAM,IND,North America +426,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +427,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,28,CAN,Canada,NAM,IND,North America +428,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,28,CAN,Canada,NAM,IND,North America +429,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,28,CAN,Canada,NAM,IND,North America +430,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,28,CAN,Canada,NAM,IND,North America +431,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +432,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +433,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,3,ALB,Albania,EEU,IND,Eurasia +434,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,15,BGR,Bulgaria,EEU,IND,Eurasia +435,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,18,BIH,Bosnia and Herzegovina,EEU,IND,Eurasia +436,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,65,GRC,Greece,WEU,IND,Eurasia +437,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,70,HRV,Croatia,EEU,IND,Eurasia +438,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,80,ITA,Italy,WEU,IND,Eurasia +439,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +440,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,110,MNE,Montenegro,EEU,IND,Eurasia +441,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,139,ROU,Romania,EEU,IND,Eurasia +442,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,150,SRB,Serbia,EEU,IND,Eurasia +443,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +444,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,167,TUR,Turkey,WEU,IND,Eurasia +445,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,3,ALB,Albania,EEU,IND,Eurasia +446,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,8,AUT,Austria,WEU,IND,Eurasia +447,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,15,BGR,Bulgaria,EEU,IND,Eurasia +448,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,18,BIH,Bosnia and Herzegovina,EEU,IND,Eurasia +449,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,70,HRV,Croatia,EEU,IND,Eurasia +450,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,72,HUN,Hungary,EEU,IND,Eurasia +451,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,80,ITA,Italy,WEU,IND,Eurasia +452,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +453,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +454,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,110,MNE,Montenegro,EEU,IND,Eurasia +455,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,139,ROU,Romania,EEU,IND,Eurasia +456,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,150,SRB,Serbia,EEU,IND,Eurasia +457,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +458,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +459,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,1,AFG,Afghanistan,SAS,DEV,Eurasia +460,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +461,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +462,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +463,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +464,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,59,GEO,Georgia,FSU,IND,Eurasia +465,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,59,GEO,Georgia,FSU,IND,Eurasia +466,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,167,TUR,Turkey,WEU,IND,Eurasia +467,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,1,AFG,Afghanistan,SAS,DEV,Eurasia +468,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +469,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +470,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +471,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,6,ARM,Armenia,FSU,IND,Eurasia +472,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,9,AZE,Azerbaijan,FSU,IND,Eurasia +473,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,59,GEO,Georgia,FSU,IND,Eurasia +474,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +475,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,167,TUR,Turkey,WEU,IND,Eurasia +476,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,72,HUN,Hungary,EEU,IND,Eurasia +477,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +478,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,139,ROU,Romania,EEU,IND,Eurasia +479,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,153,SVK,Slovakia,EEU,IND,Eurasia +480,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +481,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +482,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +483,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +484,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,4,ARE,United Arab Emirates,MEA,DEV,Eurasia +485,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,16,BHR,Bahrain,MEA,DEV,Eurasia +486,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +487,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +488,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,89,KWT,Kuwait,MEA,DEV,Eurasia +489,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,126,OMN,Oman,MEA,DEV,Eurasia +490,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,138,QAT,Qatar,MEA,DEV,Eurasia +491,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +492,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,1,AFG,Afghanistan,SAS,DEV,Eurasia +493,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +494,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,162,TKM,Turkmenistan,FSU,IND,Eurasia +495,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,6,ARM,Armenia,FSU,IND,Eurasia +496,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,9,AZE,Azerbaijan,FSU,IND,Eurasia +497,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +498,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +499,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,167,TUR,Turkey,WEU,IND,Eurasia +500,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +501,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,49,EGY,Egypt,MEA,DEV,Africa +502,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +503,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,79,ISR,Israel,MEA,DEV,Eurasia +504,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +505,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,91,LBN,Lebanon,MEA,DEV,Eurasia +506,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,136,PSE,Occupied Palestinian Terr.,MEA,DEV,Eurasia +507,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +508,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +509,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,1,AFG,Afghanistan,SAS,DEV,Eurasia +510,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +511,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,127,PAK,Pakistan,SAS,DEV,Eurasia +512,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,49,EGY,Egypt,MEA,DEV,Africa +513,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,79,ISR,Israel,MEA,DEV,Eurasia +514,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,91,LBN,Lebanon,MEA,DEV,Eurasia +515,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,136,PSE,Occupied Palestinian Terr.,MEA,DEV,Eurasia +516,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +517,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,167,TUR,Turkey,WEU,IND,Eurasia +518,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +519,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +520,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,127,PAK,Pakistan,SAS,DEV,Eurasia +521,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +522,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +523,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +524,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +525,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +526,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,167,TUR,Turkey,WEU,IND,Eurasia +527,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +528,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +529,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,161,TJK,Tajikistan,FSU,IND,Eurasia +530,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,162,TKM,Turkmenistan,FSU,IND,Eurasia +531,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,174,UZB,Uzbekistan,FSU,IND,Eurasia +532,Polygon,174,Arabian Sea Coast - SAS,Arabian Sea Coast,SAS,15,3.13841,34845.06646,15|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +533,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +534,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +535,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +536,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,162,TKM,Turkmenistan,FSU,IND,Eurasia +537,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +538,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +539,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +540,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +541,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +542,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +543,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +544,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +545,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +546,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +547,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +548,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,3,ALB,Albania,EEU,IND,Eurasia +549,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,15,BGR,Bulgaria,EEU,IND,Eurasia +550,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,65,GRC,Greece,WEU,IND,Eurasia +551,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,80,ITA,Italy,WEU,IND,Eurasia +552,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +553,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +554,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,167,TUR,Turkey,WEU,IND,Eurasia +555,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,59,GEO,Georgia,FSU,IND,Eurasia +556,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,167,TUR,Turkey,WEU,IND,Eurasia +557,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,6,ARM,Armenia,FSU,IND,Eurasia +558,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,9,AZE,Azerbaijan,FSU,IND,Eurasia +559,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,59,GEO,Georgia,FSU,IND,Eurasia +560,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +561,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,77,IRQ,Iraq,MEA,DEV,Eurasia +562,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +563,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,8,AUT,Austria,WEU,IND,Eurasia +564,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +565,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,72,HUN,Hungary,EEU,IND,Eurasia +566,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,80,ITA,Italy,WEU,IND,Eurasia +567,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,153,SVK,Slovakia,EEU,IND,Eurasia +568,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +569,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,41,CYP,Cyprus,WEU,IND,Eurasia +570,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +571,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,167,TUR,Turkey,WEU,IND,Eurasia +572,Polygon,202,Mediterranean Sea Islands - WEU,Mediterranean Sea Islands,WEU,86,6.679176,63898.67468,86|WEU,80,ITA,Italy,WEU,IND,Eurasia +573,Polygon,202,Mediterranean Sea Islands - WEU,Mediterranean Sea Islands,WEU,86,6.679176,63898.67468,86|WEU,108,MLT,Malta,WEU,IND,Eurasia +574,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,8,AUT,Austria,WEU,IND,Eurasia +575,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +576,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +577,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +578,Polygon,208,Tiber Italy West Coast - WEU,Tiber Italy West Coast,WEU,150,9.345155,86211.92606,150|WEU,80,ITA,Italy,WEU,IND,Eurasia +579,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +580,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,77,IRQ,Iraq,MEA,DEV,Eurasia +581,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +582,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,167,TUR,Turkey,WEU,IND,Eurasia +583,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +584,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +585,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +586,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +587,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +588,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +589,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,3,ALB,Albania,EEU,IND,Eurasia +590,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,3,ALB,Albania,EEU,IND,Eurasia +591,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,15,BGR,Bulgaria,EEU,IND,Eurasia +592,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,15,BGR,Bulgaria,EEU,IND,Eurasia +593,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,18,BIH,Bosnia and Herzegovina,EEU,IND,Eurasia +594,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,18,BIH,Bosnia and Herzegovina,EEU,IND,Eurasia +595,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,70,HRV,Croatia,EEU,IND,Eurasia +596,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,70,HRV,Croatia,EEU,IND,Eurasia +597,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +598,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +599,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,110,MNE,Montenegro,EEU,IND,Eurasia +600,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,110,MNE,Montenegro,EEU,IND,Eurasia +601,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,139,ROU,Romania,EEU,IND,Eurasia +602,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,139,ROU,Romania,EEU,IND,Eurasia +603,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,150,SRB,Serbia,EEU,IND,Eurasia +604,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,150,SRB,Serbia,EEU,IND,Eurasia +605,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +606,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +607,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,3,ALB,Albania,EEU,IND,Eurasia +608,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,3,ALB,Albania,EEU,IND,Eurasia +609,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,15,BGR,Bulgaria,EEU,IND,Eurasia +610,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,15,BGR,Bulgaria,EEU,IND,Eurasia +611,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,65,GRC,Greece,WEU,IND,Eurasia +612,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,65,GRC,Greece,WEU,IND,Eurasia +613,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,80,ITA,Italy,WEU,IND,Eurasia +614,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,80,ITA,Italy,WEU,IND,Eurasia +615,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +616,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,106,MKD,TFYR Macedonia,EEU,IND,Eurasia +617,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +618,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +619,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,167,TUR,Turkey,WEU,IND,Eurasia +620,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,167,TUR,Turkey,WEU,IND,Eurasia +621,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,72,HUN,Hungary,EEU,IND,Eurasia +622,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,72,HUN,Hungary,EEU,IND,Eurasia +623,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +624,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +625,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,139,ROU,Romania,EEU,IND,Eurasia +626,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,139,ROU,Romania,EEU,IND,Eurasia +627,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +628,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,153,SVK,Slovakia,EEU,IND,Eurasia +629,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,8,AUT,Austria,WEU,IND,Eurasia +630,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,8,AUT,Austria,WEU,IND,Eurasia +631,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,72,HUN,Hungary,EEU,IND,Eurasia +632,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,72,HUN,Hungary,EEU,IND,Eurasia +633,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,80,ITA,Italy,WEU,IND,Eurasia +634,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,80,ITA,Italy,WEU,IND,Eurasia +635,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +636,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,153,SVK,Slovakia,EEU,IND,Eurasia +637,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,154,SVN,Slovenia,EEU,IND,Eurasia +638,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +639,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +640,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +641,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +642,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +643,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +644,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +645,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +646,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +647,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,1,AFG,Afghanistan,SAS,DEV,Eurasia +648,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +649,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +650,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,161,TJK,Tajikistan,FSU,IND,Eurasia +651,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +652,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,162,TKM,Turkmenistan,FSU,IND,Eurasia +653,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +654,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,174,UZB,Uzbekistan,FSU,IND,Eurasia +655,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,59,GEO,Georgia,FSU,IND,Eurasia +656,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,59,GEO,Georgia,FSU,IND,Eurasia +657,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,59,GEO,Georgia,FSU,IND,Eurasia +658,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,59,GEO,Georgia,FSU,IND,Eurasia +659,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,59,GEO,Georgia,FSU,IND,Eurasia +660,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,59,GEO,Georgia,FSU,IND,Eurasia +661,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,167,TUR,Turkey,WEU,IND,Eurasia +662,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,167,TUR,Turkey,WEU,IND,Eurasia +663,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,59,GEO,Georgia,FSU,IND,Eurasia +664,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,59,GEO,Georgia,FSU,IND,Eurasia +665,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,167,TUR,Turkey,WEU,IND,Eurasia +666,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +667,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +668,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +669,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +670,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,162,TKM,Turkmenistan,FSU,IND,Eurasia +671,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,1,AFG,Afghanistan,SAS,DEV,Eurasia +672,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +673,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,162,TKM,Turkmenistan,FSU,IND,Eurasia +674,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,162,TKM,Turkmenistan,FSU,IND,Eurasia +675,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,9,AZE,Azerbaijan,FSU,IND,Eurasia +676,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,9,AZE,Azerbaijan,FSU,IND,Eurasia +677,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +678,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +679,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,6,ARM,Armenia,FSU,IND,Eurasia +680,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,6,ARM,Armenia,FSU,IND,Eurasia +681,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,59,GEO,Georgia,FSU,IND,Eurasia +682,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,59,GEO,Georgia,FSU,IND,Eurasia +683,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,167,TUR,Turkey,WEU,IND,Eurasia +684,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +685,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +686,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,102,MDA,Republic of Moldova,FSU,IND,Eurasia +687,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +688,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +689,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +690,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +691,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +692,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +693,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +694,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +695,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +696,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +697,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +698,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +699,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +700,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +701,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,1,AFG,Afghanistan,SAS,DEV,Eurasia +702,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +703,Polygon,111,Caspian Sea East Coast - MEA,Caspian Sea East Coast,MEA,30,8.556901,84782.11837,30|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +704,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +705,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +706,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +707,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +708,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +709,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +710,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +711,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +712,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +713,Polygon,112,Caspian Sea South West Coast - MEA,Caspian Sea South West Coast,MEA,31,18.787954,184874.2042,31|MEA,167,TUR,Turkey,WEU,IND,Eurasia +714,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +715,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +716,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +717,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +718,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +719,Polygon,113,Central Iran - MEA,Central Iran,MEA,34,78.404657,816395.3156,34|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +720,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +721,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,49,EGY,Egypt,MEA,DEV,Africa +722,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,49,EGY,Egypt,MEA,DEV,Africa +723,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,79,ISR,Israel,MEA,DEV,Eurasia +724,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,79,ISR,Israel,MEA,DEV,Eurasia +725,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,91,LBN,Lebanon,MEA,DEV,Eurasia +726,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,91,LBN,Lebanon,MEA,DEV,Eurasia +727,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,136,PSE,Occupied Palestinian Terr.,MEA,DEV,Eurasia +728,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,136,PSE,Occupied Palestinian Terr.,MEA,DEV,Eurasia +729,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +730,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +731,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +732,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +733,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +734,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +735,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +736,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +737,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +738,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +739,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +740,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +741,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,1,AFG,Afghanistan,SAS,DEV,Eurasia +742,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +743,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +744,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +745,Polygon,115,Farahud Hamun-i-Mashkel Helmand - MEA,Farahud Hamun-i-Mashkel Helmand,MEA,50,10.502004,111204.4973,50|MEA,127,PAK,Pakistan,SAS,DEV,Eurasia +746,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +747,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +748,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +749,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +750,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +751,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,167,TUR,Turkey,WEU,IND,Eurasia +752,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,167,TUR,Turkey,WEU,IND,Eurasia +753,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +754,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +755,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +756,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +757,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +758,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +759,Polygon,121,Persian Gulf Coast - MEA,Persian Gulf Coast,MEA,115,23.902528,260549.4051,115|MEA,127,PAK,Pakistan,SAS,DEV,Eurasia +760,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +761,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +762,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +763,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,77,IRQ,Iraq,MEA,DEV,Eurasia +764,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,77,IRQ,Iraq,MEA,DEV,Eurasia +765,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +766,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,157,SYR,Syrian Arab Republic,MEA,DEV,Eurasia +767,Polygon,124,Tigris Euphrates - MEA,Tigris Euphrates,MEA,151,71.990082,743261.2143,151|MEA,167,TUR,Turkey,WEU,IND,Eurasia +768,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,167,TUR,Turkey,WEU,IND,Eurasia +769,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +770,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +771,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +772,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +773,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +774,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +775,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +776,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +777,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +778,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +779,Polygon,174,Arabian Sea Coast - SAS,Arabian Sea Coast,SAS,15,3.13841,34845.06646,15|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +780,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +781,Polygon,174,Arabian Sea Coast - SAS,Arabian Sea Coast,SAS,15,3.13841,34845.06646,15|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +782,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +783,Polygon,176,Caspian Sea East Coast - SAS,Caspian Sea East Coast,SAS,30,7.645297,77637.22563,30|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +784,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +785,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +786,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +787,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +788,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +789,Polygon,177,Farahud Hamun-i-Mashkel Helmand - SAS,Farahud Hamun-i-Mashkel Helmand,SAS,50,42.997415,454051.1579,50|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +790,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +791,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +792,Polygon,183,Persian Gulf Coast - SAS,Persian Gulf Coast,SAS,115,7.34504,81273.28074,115|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +793,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +794,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +795,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +796,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +797,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,80,ITA,Italy,WEU,IND,Eurasia +798,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +799,Polygon,187,Adriatic Sea Greece Black Sea Coast - WEU,Adriatic Sea Greece Black Sea Coast,WEU,0,16.601996,158492.0605,0|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +800,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,154,SVN,Slovenia,EEU,IND,Eurasia +801,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,59,GEO,Georgia,FSU,IND,Eurasia +802,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,59,GEO,Georgia,FSU,IND,Eurasia +803,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,167,TUR,Turkey,WEU,IND,Eurasia +804,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +805,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,167,TUR,Turkey,WEU,IND,Eurasia +806,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,167,TUR,Turkey,WEU,IND,Eurasia +807,Polygon,190,Black Sea South Coast - WEU,Black Sea South Coast,WEU,26,33.525153,318487.9945,26|WEU,167,TUR,Turkey,WEU,IND,Eurasia +808,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,167,TUR,Turkey,WEU,IND,Eurasia +809,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +810,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,76,IRN,Iran (Islamic Republic of),MEA,DEV,Eurasia +811,Polygon,191,Caspian Sea South West Coast - WEU,Caspian Sea South West Coast,WEU,31,3.119974,29504.50443,31|WEU,167,TUR,Turkey,WEU,IND,Eurasia +812,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,167,TUR,Turkey,WEU,IND,Eurasia +813,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,8,AUT,Austria,WEU,IND,Eurasia +814,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,8,AUT,Austria,WEU,IND,Eurasia +815,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +816,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +817,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,80,ITA,Italy,WEU,IND,Eurasia +818,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +819,Polygon,201,Mediterranean Sea East Coast - WEU,Mediterranean Sea East Coast,WEU,85,23.181374,226182.6371,85|WEU,167,TUR,Turkey,WEU,IND,Eurasia +820,Polygon,209,Tigris Euphrates - WEU,Tigris Euphrates,WEU,151,19.815583,192100.9383,151|WEU,167,TUR,Turkey,WEU,IND,Eurasia +821,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +822,Polygon,208,Tiber Italy West Coast - WEU,Tiber Italy West Coast,WEU,150,9.345155,86211.92606,150|WEU,80,ITA,Italy,WEU,IND,Eurasia +823,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,68,HKG,"China, Hong Kong SAR",CPA,DEV,Eurasia +824,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +825,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,100,MAC,Macau,CPA,DEV,Eurasia +826,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,88,KOR,Republic of Korea,PAS,DEV,Eurasia +827,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +828,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +829,Polygon,151,Japan - PAO,Japan,PAO,71,38.047507,372331.6661,71|PAO,83,JPN,Japan,PAO,IND,Eurasia +830,Polygon,162,North and South Korea Bo Hai Korean Bay North Coast - PAS,North and South Korea Bo Hai Korean Bay North Coast,PAS,98,10.025353,99831.04754,98|PAS,88,KOR,Republic of Korea,PAS,DEV,Eurasia +831,Polygon,162,North and South Korea Bo Hai Korean Bay North Coast - PAS,North and South Korea Bo Hai Korean Bay North Coast,PAS,98,10.025353,99831.04754,98|PAS,188,PRK,North Korea,CPA,DEV,Eurasia +832,Polygon,171,Taiwan - PAS,Taiwan,PAS,147,3.210939,36252.11867,147|PAS,168,TWN,Taiwan,CPA,DEV,Eurasia +833,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +834,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +835,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,88,KOR,Republic of Korea,PAS,DEV,Eurasia +836,Polygon,162,North and South Korea Bo Hai Korean Bay North Coast - PAS,North and South Korea Bo Hai Korean Bay North Coast,PAS,98,10.025353,99831.04754,98|PAS,88,KOR,Republic of Korea,PAS,DEV,Eurasia +837,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +838,Polygon,162,North and South Korea Bo Hai Korean Bay North Coast - PAS,North and South Korea Bo Hai Korean Bay North Coast,PAS,98,10.025353,99831.04754,98|PAS,188,PRK,North Korea,CPA,DEV,Eurasia +839,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,19,BLR,Belarus,FSU,IND,Eurasia +840,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,54,FIN,Finland,WEU,IND,Eurasia +841,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,54,FIN,Finland,WEU,IND,Eurasia +842,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,123,NOR,Norway,WEU,IND,Eurasia +843,Polygon,193,Denmark Germany Coast - WEU,Denmark Germany Coast,WEU,41,10.464906,74239.22464,41|WEU,45,DNK,Denmark,WEU,IND,Eurasia +844,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,54,FIN,Finland,WEU,IND,Eurasia +845,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,123,NOR,Norway,WEU,IND,Eurasia +846,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,54,FIN,Finland,WEU,IND,Eurasia +847,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,123,NOR,Norway,WEU,IND,Eurasia +848,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,155,SWE,Sweden,WEU,IND,Eurasia +849,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,45,DNK,Denmark,WEU,IND,Eurasia +850,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,54,FIN,Finland,WEU,IND,Eurasia +851,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,123,NOR,Norway,WEU,IND,Eurasia +852,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,155,SWE,Sweden,WEU,IND,Eurasia +853,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,54,FIN,Finland,WEU,IND,Eurasia +854,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,54,FIN,Finland,WEU,IND,Eurasia +855,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,54,FIN,Finland,WEU,IND,Eurasia +856,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,54,FIN,Finland,WEU,IND,Eurasia +857,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,54,FIN,Finland,WEU,IND,Eurasia +858,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,54,FIN,Finland,WEU,IND,Eurasia +859,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,123,NOR,Norway,WEU,IND,Eurasia +860,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,123,NOR,Norway,WEU,IND,Eurasia +861,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,54,FIN,Finland,WEU,IND,Eurasia +862,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,54,FIN,Finland,WEU,IND,Eurasia +863,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,123,NOR,Norway,WEU,IND,Eurasia +864,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,123,NOR,Norway,WEU,IND,Eurasia +865,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,54,FIN,Finland,WEU,IND,Eurasia +866,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,54,FIN,Finland,WEU,IND,Eurasia +867,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,123,NOR,Norway,WEU,IND,Eurasia +868,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,123,NOR,Norway,WEU,IND,Eurasia +869,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,54,FIN,Finland,WEU,IND,Eurasia +870,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,54,FIN,Finland,WEU,IND,Eurasia +871,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,123,NOR,Norway,WEU,IND,Eurasia +872,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,123,NOR,Norway,WEU,IND,Eurasia +873,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,155,SWE,Sweden,WEU,IND,Eurasia +874,Polygon,207,Sweden - WEU,Sweden,WEU,145,84.699838,478577.5085,145|WEU,155,SWE,Sweden,WEU,IND,Eurasia +875,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +876,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +877,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,60,GHA,Ghana,AFR,DEV,Africa +878,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,61,GIN,Guinea,AFR,DEV,Africa +879,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,62,GMB,Gambia,AFR,DEV,Africa +880,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,63,GNB,Guinea-Bissau,AFR,DEV,Africa +881,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,92,LBR,Liberia,AFR,DEV,Africa +882,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,107,MLI,Mali,AFR,DEV,Africa +883,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,144,SEN,Senegal,AFR,DEV,Africa +884,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,147,SLE,Sierra Leone,AFR,DEV,Africa +885,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +886,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +887,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,61,GIN,Guinea,AFR,DEV,Africa +888,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +889,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,147,SLE,Sierra Leone,AFR,DEV,Africa +890,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,61,GIN,Guinea,AFR,DEV,Africa +891,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,107,MLI,Mali,AFR,DEV,Africa +892,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,144,SEN,Senegal,AFR,DEV,Africa +893,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +894,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +895,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,60,GHA,Ghana,AFR,DEV,Africa +896,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,107,MLI,Mali,AFR,DEV,Africa +897,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,159,TGO,Togo,AFR,DEV,Africa +898,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,36,COL,Colombia,LAM,DEV,South America +899,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,176,VEN,Venezuela,LAM,DEV,South America +900,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,0,ABW,Aruba,LAM,DEV,Carribean +901,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,23,BRB,Barbados,LAM,DEV,Carribean +902,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,36,COL,Colombia,LAM,DEV,South America +903,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,94,LCA,St. Lucia,LAM,DEV,Carribean +904,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,128,PAN,Panama,LAM,DEV,North America +905,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,165,TTO,Trinidad and Tobago,LAM,DEV,Carribean +906,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,175,VCT,Saint Vincent and the Grenadines,LAM,DEV,Carribean +907,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,176,VEN,Venezuela,LAM,DEV,South America +908,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,36,COL,Colombia,LAM,DEV,South America +909,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,39,CRI,Costa Rica,LAM,DEV,North America +910,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,69,HND,Honduras,LAM,DEV,North America +911,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,121,NIC,Nicaragua,LAM,DEV,North America +912,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,128,PAN,Panama,LAM,DEV,North America +913,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,39,CRI,Costa Rica,LAM,DEV,North America +914,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,66,GTM,Guatemala,LAM,DEV,North America +915,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,69,HND,Honduras,LAM,DEV,North America +916,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,121,NIC,Nicaragua,LAM,DEV,North America +917,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,128,PAN,Panama,LAM,DEV,North America +918,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,148,SLV,El Salvador,LAM,DEV,North America +919,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,36,COL,Colombia,LAM,DEV,South America +920,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,36,COL,Colombia,LAM,DEV,South America +921,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,176,VEN,Venezuela,LAM,DEV,South America +922,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,176,VEN,Venezuela,LAM,DEV,South America +923,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,36,COL,Colombia,LAM,DEV,South America +924,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,176,VEN,Venezuela,LAM,DEV,South America +925,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +926,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +927,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +928,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +929,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,61,GIN,Guinea,AFR,DEV,Africa +930,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,61,GIN,Guinea,AFR,DEV,Africa +931,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,107,MLI,Mali,AFR,DEV,Africa +932,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +933,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,147,SLE,Sierra Leone,AFR,DEV,Africa +934,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,147,SLE,Sierra Leone,AFR,DEV,Africa +935,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,61,GIN,Guinea,AFR,DEV,Africa +936,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,61,GIN,Guinea,AFR,DEV,Africa +937,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,144,SEN,Senegal,AFR,DEV,Africa +938,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,144,SEN,Senegal,AFR,DEV,Africa +939,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +940,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +941,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +942,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,32,CIV,Cote d'Ivoire,AFR,DEV,Africa +943,Polygon,6,Africa West Coast - AFR,Africa West Coast,AFR,7,67.717948,822675.5498,7|AFR,60,GHA,Ghana,AFR,DEV,Africa +944,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,60,GHA,Ghana,AFR,DEV,Africa +945,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,61,GIN,Guinea,AFR,DEV,Africa +946,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,61,GIN,Guinea,AFR,DEV,Africa +947,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +948,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,107,MLI,Mali,AFR,DEV,Africa +949,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +950,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,13,BFA,Burkina Faso,AFR,DEV,Africa +951,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +952,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,107,MLI,Mali,AFR,DEV,Africa +953,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,36,COL,Colombia,LAM,DEV,South America +954,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,36,COL,Colombia,LAM,DEV,South America +955,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,36,COL,Colombia,LAM,DEV,South America +956,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,36,COL,Colombia,LAM,DEV,South America +957,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,36,COL,Colombia,LAM,DEV,South America +958,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,36,COL,Colombia,LAM,DEV,South America +959,Polygon,79,Amazon - LAM,Amazon,LAM,9,486.780403,5925340.761,9|LAM,176,VEN,Venezuela,LAM,DEV,South America +960,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,176,VEN,Venezuela,LAM,DEV,South America +961,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,128,PAN,Panama,LAM,DEV,North America +962,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,128,PAN,Panama,LAM,DEV,North America +963,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,36,COL,Colombia,LAM,DEV,South America +964,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,36,COL,Colombia,LAM,DEV,South America +965,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,128,PAN,Panama,LAM,DEV,North America +966,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,128,PAN,Panama,LAM,DEV,North America +967,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,36,COL,Colombia,LAM,DEV,South America +968,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,36,COL,Colombia,LAM,DEV,South America +969,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,176,VEN,Venezuela,LAM,DEV,South America +970,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,176,VEN,Venezuela,LAM,DEV,South America +971,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,36,COL,Colombia,LAM,DEV,South America +972,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,36,COL,Colombia,LAM,DEV,South America +973,Polygon,82,Carribean Coast - LAM,Carribean Coast,LAM,29,28.185097,342219.9933,29|LAM,176,VEN,Venezuela,LAM,DEV,South America +974,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,176,VEN,Venezuela,LAM,DEV,South America +975,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,39,CRI,Costa Rica,LAM,DEV,North America +976,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,39,CRI,Costa Rica,LAM,DEV,North America +977,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,69,HND,Honduras,LAM,DEV,North America +978,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,69,HND,Honduras,LAM,DEV,North America +979,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,121,NIC,Nicaragua,LAM,DEV,North America +980,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,121,NIC,Nicaragua,LAM,DEV,North America +981,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,128,PAN,Panama,LAM,DEV,North America +982,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,128,PAN,Panama,LAM,DEV,North America +983,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,128,PAN,Panama,LAM,DEV,North America +984,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,128,PAN,Panama,LAM,DEV,North America +985,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,128,PAN,Panama,LAM,DEV,North America +986,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,128,PAN,Panama,LAM,DEV,North America +987,Polygon,85,Columbia Ecuador Pacific Coast - LAM,Columbia Ecuador Pacific Coast,LAM,37,16.884728,207399.9279,37|LAM,36,COL,Colombia,LAM,DEV,South America +988,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,36,COL,Colombia,LAM,DEV,South America +989,Polygon,89,Magdalena - LAM,Magdalena,LAM,83,21.235582,259587.0724,83|LAM,36,COL,Colombia,LAM,DEV,South America +990,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,36,COL,Colombia,LAM,DEV,South America +991,Polygon,95,North East South America South Atlantic Coast - LAM,North East South America South Atlantic Coast,LAM,101,45.736574,561127.3343,101|LAM,176,VEN,Venezuela,LAM,DEV,South America +992,Polygon,96,Orinoco - LAM,Orinoco,LAM,108,76.567804,937326.6392,108|LAM,176,VEN,Venezuela,LAM,DEV,South America +993,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,44,DJI,Djibouti,AFR,DEV,Africa +994,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,50,ERI,Eritrea,AFR,DEV,Africa +995,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +996,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,149,SOM,Somalia,AFR,DEV,Africa +997,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,60,GHA,Ghana,AFR,DEV,Africa +998,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,120,NGA,Nigeria,AFR,DEV,Africa +999,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,159,TGO,Togo,AFR,DEV,Africa +1000,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,143,SDN,Sudan,MEA,DEV,Africa +1001,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1002,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1003,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1004,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,119,NER,Niger,AFR,DEV,Africa +1005,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1006,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,143,SDN,Sudan,MEA,DEV,Africa +1007,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,158,TCD,Chad,AFR,DEV,Africa +1008,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,12,BEN,Benin,AFR,DEV,Africa +1009,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1010,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,119,NER,Niger,AFR,DEV,Africa +1011,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1012,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,158,TCD,Chad,AFR,DEV,Africa +1013,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,10,BDI,Burundi,AFR,DEV,Africa +1014,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1015,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1016,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1017,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,85,KEN,Kenya,AFR,DEV,Africa +1018,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,141,RWA,Rwanda,AFR,DEV,Africa +1019,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,143,SDN,Sudan,MEA,DEV,Africa +1020,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1021,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,170,UGA,Uganda,AFR,DEV,Africa +1022,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1023,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,44,DJI,Djibouti,AFR,DEV,Africa +1024,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1025,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1026,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,85,KEN,Kenya,AFR,DEV,Africa +1027,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,149,SOM,Somalia,AFR,DEV,Africa +1028,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1029,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,170,UGA,Uganda,AFR,DEV,Africa +1030,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,182,ZMB,Zambia,AFR,DEV,Africa +1031,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1032,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1033,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,12,BEN,Benin,AFR,DEV,Africa +1034,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1035,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1036,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1037,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1038,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1039,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1040,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1041,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1042,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,180,YEM,Yemen,MEA,DEV,Eurasia +1043,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,27,CAF,Central African Republic,AFR,DEV,Africa +1044,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,143,SDN,Sudan,MEA,DEV,Africa +1045,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,158,TCD,Chad,AFR,DEV,Africa +1046,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,27,CAF,Central African Republic,AFR,DEV,Africa +1047,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1048,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,53,ETH,Ethiopia,AFR,DEV,Africa +1049,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,143,SDN,Sudan,MEA,DEV,Africa +1050,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,170,UGA,Uganda,AFR,DEV,Africa +1051,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1052,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,180,YEM,Yemen,MEA,DEV,Eurasia +1053,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,53,ETH,Ethiopia,AFR,DEV,Africa +1054,Polygon,153,New Zealand - PAO,New Zealand,PAO,94,29.20282,269074.8488,94|PAO,125,NZL,New Zealand,PAO,IND,Australia Pacific +1055,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,87,KHM,Cambodia,CPA,DEV,Eurasia +1056,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1057,Polygon,160,Kalimantan North Borneo Coast - PAS,Kalimantan North Borneo Coast,PAS,73,60.127605,739357.6064,73|PAS,130,PHL,Philippines,PAS,DEV,Australia Pacific +1058,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,87,KHM,Cambodia,CPA,DEV,Eurasia +1059,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1060,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1061,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,116,MYS,Malaysia,PAS,DEV,Eurasia +1062,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,145,SGP,Singapore,PAS,DEV,Eurasia +1063,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1064,Polygon,166,Philippines - PAS,Philippines,PAS,117,24.510349,294934.045,117|PAS,73,IDN,Indonesia,PAS,DEV,Australia Pacific +1065,Polygon,166,Philippines - PAS,Philippines,PAS,117,24.510349,294934.045,117|PAS,116,MYS,Malaysia,PAS,DEV,Eurasia +1066,Polygon,166,Philippines - PAS,Philippines,PAS,117,24.510349,294934.045,117|PAS,130,PHL,Philippines,PAS,DEV,Australia Pacific +1067,Polygon,168,South Pacific Islands - PAS,South Pacific Islands,PAS,140,4.262596,49768.69212,140|PAS,55,FJI,Fiji,PAS,DEV,Australia Pacific +1068,Polygon,173,Andaman Nicobar Islands - SAS,Andaman Nicobar Islands,SAS,12,0.611598,7382.908778,12|SAS,74,IND,India,SAS,DEV,Eurasia +1069,Polygon,179,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai,SAS,65,106.089051,1240076.779,65|SAS,74,IND,India,SAS,DEV,Eurasia +1070,Polygon,180,India West Coast Tapti Narmada Mahi - SAS,India West Coast Tapti Narmada Mahi,SAS,66,27.195846,315053.6385,66|SAS,74,IND,India,SAS,DEV,Eurasia +1071,Polygon,185,Sri Lanka - SAS,Sri Lanka,SAS,141,5.399827,65886.88183,141|SAS,74,IND,India,SAS,DEV,Eurasia +1072,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,85,KEN,Kenya,AFR,DEV,Africa +1073,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,85,KEN,Kenya,AFR,DEV,Africa +1074,Polygon,0,Africa East Central Coast - AFR,Africa East Central Coast,AFR,1,85.640641,1037882.769,1|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1075,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1076,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,44,DJI,Djibouti,AFR,DEV,Africa +1077,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,44,DJI,Djibouti,AFR,DEV,Africa +1078,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1079,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1080,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1081,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1082,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,149,SOM,Somalia,AFR,DEV,Africa +1083,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,149,SOM,Somalia,AFR,DEV,Africa +1084,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1085,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1086,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,149,SOM,Somalia,AFR,DEV,Africa +1087,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,149,SOM,Somalia,AFR,DEV,Africa +1088,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,12,BEN,Benin,AFR,DEV,Africa +1089,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,12,BEN,Benin,AFR,DEV,Africa +1090,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1091,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1092,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,12,BEN,Benin,AFR,DEV,Africa +1093,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,12,BEN,Benin,AFR,DEV,Africa +1094,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,60,GHA,Ghana,AFR,DEV,Africa +1095,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,60,GHA,Ghana,AFR,DEV,Africa +1096,Polygon,7,Africa West Coast - AFR,Africa West Coast,AFR,8,16.012698,195431.1226,8|AFR,159,TGO,Togo,AFR,DEV,Africa +1097,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,159,TGO,Togo,AFR,DEV,Africa +1098,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1099,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1100,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,10,BDI,Burundi,AFR,DEV,Africa +1101,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,10,BDI,Burundi,AFR,DEV,Africa +1102,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1103,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1104,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1105,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1106,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,141,RWA,Rwanda,AFR,DEV,Africa +1107,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,141,RWA,Rwanda,AFR,DEV,Africa +1108,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,143,SDN,Sudan,MEA,DEV,Africa +1109,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,143,SDN,Sudan,MEA,DEV,Africa +1110,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1111,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1112,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,170,UGA,Uganda,AFR,DEV,Africa +1113,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,170,UGA,Uganda,AFR,DEV,Africa +1114,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1115,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1116,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1117,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1118,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,182,ZMB,Zambia,AFR,DEV,Africa +1119,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,182,ZMB,Zambia,AFR,DEV,Africa +1120,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1121,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,27,CAF,Central African Republic,AFR,DEV,Africa +1122,Polygon,9,Congo - AFR,Congo,AFR,38,301.212563,3688579.831,38|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1123,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1124,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1125,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1126,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1127,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1128,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1129,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1130,Polygon,10,Gulf of Guinea - AFR,Gulf of Guinea,AFR,57,57.632405,707835.2229,57|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1131,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1132,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1133,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,33,CMR,Cameroon,AFR,DEV,Africa +1134,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,119,NER,Niger,AFR,DEV,Africa +1135,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,119,NER,Niger,AFR,DEV,Africa +1136,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1137,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,120,NGA,Nigeria,AFR,DEV,Africa +1138,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,158,TCD,Chad,AFR,DEV,Africa +1139,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,158,TCD,Chad,AFR,DEV,Africa +1140,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1141,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1142,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,143,SDN,Sudan,MEA,DEV,Africa +1143,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,143,SDN,Sudan,MEA,DEV,Africa +1144,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1145,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,27,CAF,Central African Republic,AFR,DEV,Africa +1146,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,143,SDN,Sudan,MEA,DEV,Africa +1147,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,143,SDN,Sudan,MEA,DEV,Africa +1148,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,158,TCD,Chad,AFR,DEV,Africa +1149,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,158,TCD,Chad,AFR,DEV,Africa +1150,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,12,BEN,Benin,AFR,DEV,Africa +1151,Polygon,23,Volta - AFR,Volta,AFR,158,33.95837,410993.7562,158|AFR,12,BEN,Benin,AFR,DEV,Africa +1152,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1153,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1154,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,85,KEN,Kenya,AFR,DEV,Africa +1155,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,85,KEN,Kenya,AFR,DEV,Africa +1156,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1157,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1158,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,170,UGA,Uganda,AFR,DEV,Africa +1159,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,170,UGA,Uganda,AFR,DEV,Africa +1160,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,27,CAF,Central African Republic,AFR,DEV,Africa +1161,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,27,CAF,Central African Republic,AFR,DEV,Africa +1162,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1163,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,34,COD,Dem. Rep. of the Congo,AFR,DEV,Africa +1164,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1165,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,53,ETH,Ethiopia,AFR,DEV,Africa +1166,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,143,SDN,Sudan,MEA,DEV,Africa +1167,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,143,SDN,Sudan,MEA,DEV,Africa +1168,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,170,UGA,Uganda,AFR,DEV,Africa +1169,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,170,UGA,Uganda,AFR,DEV,Africa +1170,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1171,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1172,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1173,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1174,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,85,KEN,Kenya,AFR,DEV,Africa +1175,Polygon,20,Shebelli Juba - AFR,Shebelli Juba,AFR,130,64.762932,794459.1225,130|AFR,85,KEN,Kenya,AFR,DEV,Africa +1176,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1177,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,169,TZA,United Republic of Tanzania,AFR,DEV,Africa +1178,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,182,ZMB,Zambia,AFR,DEV,Africa +1179,Polygon,24,Zambezi - AFR,Zambezi,AFR,161,115.445279,1373243.106,161|AFR,182,ZMB,Zambia,AFR,DEV,Africa +1180,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,53,ETH,Ethiopia,AFR,DEV,Africa +1181,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,53,ETH,Ethiopia,AFR,DEV,Africa +1182,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,85,KEN,Kenya,AFR,DEV,Africa +1183,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,85,KEN,Kenya,AFR,DEV,Africa +1184,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,170,UGA,Uganda,AFR,DEV,Africa +1185,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,170,UGA,Uganda,AFR,DEV,Africa +1186,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,185,SSD,South Sudan,AFR,DEV,Africa +1187,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1188,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1189,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1190,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1191,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1192,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1193,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1194,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1195,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,87,KHM,Cambodia,CPA,DEV,Eurasia +1196,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1197,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1198,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1199,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1200,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1201,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1202,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,87,KHM,Cambodia,CPA,DEV,Eurasia +1203,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,87,KHM,Cambodia,CPA,DEV,Eurasia +1204,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,160,THA,Thailand,PAS,DEV,Eurasia +1205,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1206,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,143,SDN,Sudan,MEA,DEV,Africa +1207,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,143,SDN,Sudan,MEA,DEV,Africa +1208,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1209,Polygon,123,Rift Valley - MEA,Rift Valley,MEA,121,1.255551,15393.82876,121|MEA,185,SSD,South Sudan,AFR,DEV,Africa +1210,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1211,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1212,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1213,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1214,Polygon,179,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai,SAS,65,106.089051,1240076.779,65|SAS,74,IND,India,SAS,DEV,Eurasia +1215,Polygon,180,India West Coast Tapti Narmada Mahi - SAS,India West Coast Tapti Narmada Mahi,SAS,66,27.195846,315053.6385,66|SAS,74,IND,India,SAS,DEV,Eurasia +1216,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,47,DZA,Algeria,MEA,DEV,Africa +1217,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,107,MLI,Mali,AFR,DEV,Africa +1218,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1219,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,186,ESH,Western Sahara,AFR,DEV,Africa +1220,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1221,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1222,Polygon,73,Siberia West Coast - FSU,Siberia West Coast,FSU,132,577.150122,3030293.701,132|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1223,Polygon,80,California - LAM,California,LAM,27,12.277099,133749.3261,27|LAM,173,USA,United States of America,NAM,IND,North America +1224,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,36,COL,Colombia,LAM,DEV,South America +1225,Polygon,81,Caribbean - LAM,Caribbean,LAM,28,18.219553,210085.4447,28|LAM,176,VEN,Venezuela,LAM,DEV,South America +1226,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,20,BLZ,Belize,LAM,DEV,North America +1227,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,66,GTM,Guatemala,LAM,DEV,North America +1228,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,105,MEX,Mexico,LAM,DEV,North America +1229,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,105,MEX,Mexico,LAM,DEV,North America +1230,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,173,USA,United States of America,NAM,IND,North America +1231,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,173,USA,United States of America,NAM,IND,North America +1232,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,173,USA,United States of America,NAM,IND,North America +1233,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1234,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,101,MAR,Morocco,MEA,DEV,Africa +1235,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,107,MLI,Mali,AFR,DEV,Africa +1236,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,113,MRT,Mauritania,AFR,DEV,Africa +1237,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +1238,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,47,DZA,Algeria,MEA,DEV,Africa +1239,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,47,DZA,Algeria,MEA,DEV,Africa +1240,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,51,ESP,Spain,WEU,DEV,Eurasia +1241,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,101,MAR,Morocco,MEA,DEV,Africa +1242,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,173,USA,United States of America,NAM,IND,North America +1243,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,173,USA,United States of America,NAM,IND,North America +1244,Polygon,127,Caribbean - NAM,Caribbean,NAM,28,0.767455,8984.76247,28|NAM,173,USA,United States of America,NAM,IND,North America +1245,Polygon,128,Central America Pacific Coast - NAM,Central America Pacific Coast,NAM,33,1.682759,17345.26534,33|NAM,173,USA,United States of America,NAM,IND,North America +1246,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1247,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,173,USA,United States of America,NAM,IND,North America +1248,Polygon,131,Great Basin - NAM,Great Basin,NAM,55,54.51401,521503.7688,55|NAM,173,USA,United States of America,NAM,IND,North America +1249,Polygon,132,Gulf Coast - NAM,Gulf Coast,NAM,56,43.920528,464520.698,56|NAM,173,USA,United States of America,NAM,IND,North America +1250,Polygon,133,Gulf of Mexico North Atlantic Coast - NAM,Gulf of Mexico North Atlantic Coast,NAM,58,68.361606,711632.7399,58|NAM,173,USA,United States of America,NAM,IND,North America +1251,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1252,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1253,Polygon,139,Northwestern United States - NAM,Northwestern United States,NAM,104,5.0009,44961.59494,104|NAM,173,USA,United States of America,NAM,IND,North America +1254,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,173,USA,United States of America,NAM,IND,North America +1255,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,173,USA,United States of America,NAM,IND,North America +1256,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,173,USA,United States of America,NAM,IND,North America +1257,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,173,USA,United States of America,NAM,IND,North America +1258,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,173,USA,United States of America,NAM,IND,North America +1259,Polygon,188,Africa North West Coast - WEU,Africa North West Coast,WEU,4,0.77258,8357.748719,4|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1260,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1261,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,56,FRA,France,WEU,IND,Eurasia +1262,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1263,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,56,FRA,France,WEU,IND,Eurasia +1264,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1265,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,56,FRA,France,WEU,IND,Eurasia +1266,Polygon,197,England Wales Scotland - WEU,England Wales Scotland,WEU,49,31.515662,229390.1712,49|WEU,58,GBR,United Kingdom,WEU,IND,Eurasia +1267,Polygon,200,Ireland - WEU,Ireland,WEU,68,11.400366,84328.96917,68|WEU,58,GBR,United Kingdom,WEU,IND,Eurasia +1268,Polygon,206,Scotland - WEU,Scotland,WEU,128,0.22542,1385.150605,128|WEU,58,GBR,United Kingdom,WEU,IND,Eurasia +1269,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1270,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1271,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,107,MLI,Mali,AFR,DEV,Africa +1272,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +1273,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1274,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1275,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,107,MLI,Mali,AFR,DEV,Africa +1276,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,107,MLI,Mali,AFR,DEV,Africa +1277,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1278,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1279,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,47,DZA,Algeria,MEA,DEV,Africa +1280,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1281,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,107,MLI,Mali,AFR,DEV,Africa +1282,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,107,MLI,Mali,AFR,DEV,Africa +1283,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1284,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,113,MRT,Mauritania,AFR,DEV,Africa +1285,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,186,ESH,Western Sahara,AFR,DEV,Africa +1286,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +1287,Polygon,3,Africa North West Coast - AFR,Africa North West Coast,AFR,4,25.674716,298358.8034,4|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1288,Polygon,19,Senegal - AFR,Senegal,AFR,129,38.380434,456422.1658,129|AFR,113,MRT,Mauritania,AFR,DEV,Africa +1289,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,66,GTM,Guatemala,LAM,DEV,North America +1290,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,66,GTM,Guatemala,LAM,DEV,North America +1291,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,105,MEX,Mexico,LAM,DEV,North America +1292,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,105,MEX,Mexico,LAM,DEV,North America +1293,Polygon,83,Central America Carribean Coast - LAM,Central America Carribean Coast,LAM,32,77.440956,906227.4841,32|LAM,105,MEX,Mexico,LAM,DEV,North America +1294,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,105,MEX,Mexico,LAM,DEV,North America +1295,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,105,MEX,Mexico,LAM,DEV,North America +1296,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,105,MEX,Mexico,LAM,DEV,North America +1297,Polygon,84,Central America Pacific Coast - LAM,Central America Pacific Coast,LAM,33,77.732012,886386.0178,33|LAM,105,MEX,Mexico,LAM,DEV,North America +1298,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,105,MEX,Mexico,LAM,DEV,North America +1299,Polygon,92,North America Colorado - LAM,North America Colorado,LAM,97,1.373159,14428.09884,97|LAM,173,USA,United States of America,NAM,IND,North America +1300,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1301,Polygon,100,Rio Grande Mexico Interior - LAM,Rio Grande Mexico Interior,LAM,122,45.98983,503794.0993,122|LAM,173,USA,United States of America,NAM,IND,North America +1302,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,173,USA,United States of America,NAM,IND,North America +1303,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1304,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,47,DZA,Algeria,MEA,DEV,Africa +1305,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,101,MAR,Morocco,MEA,DEV,Africa +1306,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,101,MAR,Morocco,MEA,DEV,Africa +1307,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +1308,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,186,ESH,Western Sahara,AFR,DEV,Africa +1309,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1310,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,47,DZA,Algeria,MEA,DEV,Africa +1311,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,101,MAR,Morocco,MEA,DEV,Africa +1312,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,101,MAR,Morocco,MEA,DEV,Africa +1313,Polygon,108,Africa North West Coast - MEA,Africa North West Coast,MEA,4,48.274496,523691.6555,4|MEA,101,MAR,Morocco,MEA,DEV,Africa +1314,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,101,MAR,Morocco,MEA,DEV,Africa +1315,Polygon,125,Atlantic Ocean Seaboard - NAM,Atlantic Ocean Seaboard,NAM,17,89.966167,700680.2466,17|NAM,173,USA,United States of America,NAM,IND,North America +1316,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,173,USA,United States of America,NAM,IND,North America +1317,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,173,USA,United States of America,NAM,IND,North America +1318,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1319,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,173,USA,United States of America,NAM,IND,North America +1320,Polygon,131,Great Basin - NAM,Great Basin,NAM,55,54.51401,521503.7688,55|NAM,173,USA,United States of America,NAM,IND,North America +1321,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,173,USA,United States of America,NAM,IND,North America +1322,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1323,Polygon,126,California - NAM,California,NAM,27,29.855169,289656.3911,27|NAM,173,USA,United States of America,NAM,IND,North America +1324,Polygon,139,Northwestern United States - NAM,Northwestern United States,NAM,104,5.0009,44961.59494,104|NAM,173,USA,United States of America,NAM,IND,North America +1325,Polygon,128,Central America Pacific Coast - NAM,Central America Pacific Coast,NAM,33,1.682759,17345.26534,33|NAM,173,USA,United States of America,NAM,IND,North America +1326,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1327,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1328,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,173,USA,United States of America,NAM,IND,North America +1329,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1330,Polygon,131,Great Basin - NAM,Great Basin,NAM,55,54.51401,521503.7688,55|NAM,173,USA,United States of America,NAM,IND,North America +1331,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1332,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1333,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1334,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1335,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1336,Polygon,139,Northwestern United States - NAM,Northwestern United States,NAM,104,5.0009,44961.59494,104|NAM,173,USA,United States of America,NAM,IND,North America +1337,Polygon,129,Columbia - NAM,Columbia,NAM,36,78.296128,671052.4419,36|NAM,173,USA,United States of America,NAM,IND,North America +1338,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,173,USA,United States of America,NAM,IND,North America +1339,Polygon,130,Fraser Pacific Arctic Coast - NAM,Fraser Pacific Arctic Coast,NAM,52,90.398332,664893.2371,52|NAM,173,USA,United States of America,NAM,IND,North America +1340,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,173,USA,United States of America,NAM,IND,North America +1341,Polygon,131,Great Basin - NAM,Great Basin,NAM,55,54.51401,521503.7688,55|NAM,173,USA,United States of America,NAM,IND,North America +1342,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1343,Polygon,132,Gulf Coast - NAM,Gulf Coast,NAM,56,43.920528,464520.698,56|NAM,173,USA,United States of America,NAM,IND,North America +1344,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1345,Polygon,132,Gulf Coast - NAM,Gulf Coast,NAM,56,43.920528,464520.698,56|NAM,173,USA,United States of America,NAM,IND,North America +1346,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,173,USA,United States of America,NAM,IND,North America +1347,Polygon,133,Gulf of Mexico North Atlantic Coast - NAM,Gulf of Mexico North Atlantic Coast,NAM,58,68.361606,711632.7399,58|NAM,173,USA,United States of America,NAM,IND,North America +1348,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1349,Polygon,133,Gulf of Mexico North Atlantic Coast - NAM,Gulf of Mexico North Atlantic Coast,NAM,58,68.361606,711632.7399,58|NAM,173,USA,United States of America,NAM,IND,North America +1350,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,173,USA,United States of America,NAM,IND,North America +1351,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1352,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1353,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1354,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,173,USA,United States of America,NAM,IND,North America +1355,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1356,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,173,USA,United States of America,NAM,IND,North America +1357,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1358,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,173,USA,United States of America,NAM,IND,North America +1359,Polygon,136,Mississippi Missouri - NAM,Mississippi Missouri,NAM,90,351.645184,3289922.975,90|NAM,173,USA,United States of America,NAM,IND,North America +1360,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,173,USA,United States of America,NAM,IND,North America +1361,Polygon,137,North America Colorado - NAM,North America Colorado,NAM,97,65.198095,646794.4372,97|NAM,173,USA,United States of America,NAM,IND,North America +1362,Polygon,141,Rio Grande Mexico Interior - NAM,Rio Grande Mexico Interior,NAM,122,33.178211,344058.1863,122|NAM,173,USA,United States of America,NAM,IND,North America +1363,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,28,CAN,Canada,NAM,IND,North America +1364,Polygon,140,Pacific and Arctic Coast - NAM,Pacific and Arctic Coast,NAM,109,339.629968,1826024.492,109|NAM,173,USA,United States of America,NAM,IND,North America +1365,Polygon,142,Saskatchewan Nelson - NAM,Saskatchewan Nelson,NAM,126,143.521001,1110611.196,126|NAM,173,USA,United States of America,NAM,IND,North America +1366,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,173,USA,United States of America,NAM,IND,North America +1367,Polygon,144,St. Lawrence - NAM,St. Lawrence,NAM,142,151.032035,1288095.359,142|NAM,173,USA,United States of America,NAM,IND,North America +1368,Polygon,145,United States North Atlantic Coast - NAM,United States North Atlantic Coast,NAM,153,42.723909,394964.425,153|NAM,173,USA,United States of America,NAM,IND,North America +1369,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1370,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1371,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1372,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1373,Polygon,194,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast - WEU,Douro Guadalquivir Tagus Guadiana Spain Portugal Atlantic Coast,WEU,45,42.40075,400738.9566,45|WEU,56,FRA,France,WEU,IND,Eurasia +1374,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,56,FRA,France,WEU,IND,Eurasia +1375,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1376,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1377,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,56,FRA,France,WEU,IND,Eurasia +1378,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,56,FRA,France,WEU,IND,Eurasia +1379,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1380,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,119,NER,Niger,AFR,DEV,Africa +1381,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,143,SDN,Sudan,MEA,DEV,Africa +1382,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,158,TCD,Chad,AFR,DEV,Africa +1383,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,143,SDN,Sudan,MEA,DEV,Africa +1384,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1385,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,47,DZA,Algeria,MEA,DEV,Africa +1386,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1387,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,25,BTN,Bhutan,SAS,DEV,Eurasia +1388,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1389,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,74,IND,India,SAS,DEV,Eurasia +1390,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +1391,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1392,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1393,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1394,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1395,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,31,CHN,China,CPA,DEV,Eurasia +1396,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,74,IND,India,SAS,DEV,Eurasia +1397,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +1398,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1399,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1400,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,31,CHN,China,CPA,DEV,Eurasia +1401,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,31,CHN,China,CPA,DEV,Eurasia +1402,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1403,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1404,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1405,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1406,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,1,AFG,Afghanistan,SAS,DEV,Eurasia +1407,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1408,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,74,IND,India,SAS,DEV,Eurasia +1409,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1410,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1411,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +1412,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,161,TJK,Tajikistan,FSU,IND,Eurasia +1413,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1414,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1415,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1416,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1417,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1418,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,43,DEU,Germany,WEU,IND,Eurasia +1419,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,132,POL,Poland,EEU,IND,Eurasia +1420,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1421,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,8,AUT,Austria,WEU,IND,Eurasia +1422,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1423,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,43,DEU,Germany,WEU,IND,Eurasia +1424,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,132,POL,Poland,EEU,IND,Eurasia +1425,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1426,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +1427,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +1428,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1429,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,31,CHN,China,CPA,DEV,Eurasia +1430,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1431,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1432,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1433,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1434,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1435,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1436,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,132,POL,Poland,EEU,IND,Eurasia +1437,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1438,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1439,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1440,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,132,POL,Poland,EEU,IND,Eurasia +1441,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1442,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1443,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1444,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,31,CHN,China,CPA,DEV,Eurasia +1445,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1446,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1447,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1448,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,31,CHN,China,CPA,DEV,Eurasia +1449,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1450,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,31,CHN,China,CPA,DEV,Eurasia +1451,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1452,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1453,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1454,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,132,POL,Poland,EEU,IND,Eurasia +1455,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1456,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,31,CHN,China,CPA,DEV,Eurasia +1457,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1458,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1459,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1460,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1461,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,31,CHN,China,CPA,DEV,Eurasia +1462,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1463,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1464,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1465,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1466,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1467,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1468,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1469,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1470,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,49,EGY,Egypt,MEA,DEV,Africa +1471,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1472,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,119,NER,Niger,AFR,DEV,Africa +1473,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,143,SDN,Sudan,MEA,DEV,Africa +1474,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,158,TCD,Chad,AFR,DEV,Africa +1475,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,166,TUN,Tunisia,MEA,DEV,Africa +1476,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,49,EGY,Egypt,MEA,DEV,Africa +1477,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,50,ERI,Eritrea,AFR,DEV,Africa +1478,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,143,SDN,Sudan,MEA,DEV,Africa +1479,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,180,YEM,Yemen,MEA,DEV,Eurasia +1480,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,47,DZA,Algeria,MEA,DEV,Africa +1481,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1482,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,119,NER,Niger,AFR,DEV,Africa +1483,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,49,EGY,Egypt,MEA,DEV,Africa +1484,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1485,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,166,TUN,Tunisia,MEA,DEV,Africa +1486,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,47,DZA,Algeria,MEA,DEV,Africa +1487,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,107,MLI,Mali,AFR,DEV,Africa +1488,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,119,NER,Niger,AFR,DEV,Africa +1489,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,49,EGY,Egypt,MEA,DEV,Africa +1490,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,50,ERI,Eritrea,AFR,DEV,Africa +1491,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,49,EGY,Egypt,MEA,DEV,Africa +1492,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,79,ISR,Israel,MEA,DEV,Eurasia +1493,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +1494,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +1495,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1496,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,74,IND,India,SAS,DEV,Eurasia +1497,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1498,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,74,IND,India,SAS,DEV,Eurasia +1499,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1500,Polygon,172,Amu Darya - SAS,Amu Darya,SAS,10,16.751899,166771.4641,10|SAS,31,CHN,China,CPA,DEV,Eurasia +1501,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,74,IND,India,SAS,DEV,Eurasia +1502,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1503,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1504,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,25,BTN,Bhutan,SAS,DEV,Eurasia +1505,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,31,CHN,China,CPA,DEV,Eurasia +1506,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1507,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1508,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +1509,Polygon,179,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai,SAS,65,106.089051,1240076.779,65|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1510,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,31,CHN,China,CPA,DEV,Eurasia +1511,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,74,IND,India,SAS,DEV,Eurasia +1512,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,74,IND,India,SAS,DEV,Eurasia +1513,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1514,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,74,IND,India,SAS,DEV,Eurasia +1515,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,31,CHN,China,CPA,DEV,Eurasia +1516,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,74,IND,India,SAS,DEV,Eurasia +1517,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1518,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,43,DEU,Germany,WEU,IND,Eurasia +1519,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1520,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,80,ITA,Italy,WEU,IND,Eurasia +1521,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,8,AUT,Austria,WEU,IND,Eurasia +1522,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,11,BEL,Belgium,WEU,IND,Eurasia +1523,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1524,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1525,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,43,DEU,Germany,WEU,IND,Eurasia +1526,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,80,ITA,Italy,WEU,IND,Eurasia +1527,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,98,LUX,Luxembourg,WEU,IND,Eurasia +1528,Polygon,202,Mediterranean Sea Islands - WEU,Mediterranean Sea Islands,WEU,86,6.679176,63898.67468,86|WEU,51,ESP,Spain,WEU,DEV,Eurasia +1529,Polygon,202,Mediterranean Sea Islands - WEU,Mediterranean Sea Islands,WEU,86,6.679176,63898.67468,86|WEU,56,FRA,France,WEU,IND,Eurasia +1530,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,56,FRA,France,WEU,IND,Eurasia +1531,Polygon,208,Tiber Italy West Coast - WEU,Tiber Italy West Coast,WEU,150,9.345155,86211.92606,150|WEU,56,FRA,France,WEU,IND,Eurasia +1532,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,119,NER,Niger,AFR,DEV,Africa +1533,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,119,NER,Niger,AFR,DEV,Africa +1534,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,158,TCD,Chad,AFR,DEV,Africa +1535,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,158,TCD,Chad,AFR,DEV,Africa +1536,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1537,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1538,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,119,NER,Niger,AFR,DEV,Africa +1539,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,119,NER,Niger,AFR,DEV,Africa +1540,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,143,SDN,Sudan,MEA,DEV,Africa +1541,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,143,SDN,Sudan,MEA,DEV,Africa +1542,Polygon,2,Africa North Interior - AFR,Africa North Interior,AFR,3,105.220995,1209583.919,3|AFR,158,TCD,Chad,AFR,DEV,Africa +1543,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,158,TCD,Chad,AFR,DEV,Africa +1544,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1545,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1546,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1547,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,50,ERI,Eritrea,AFR,DEV,Africa +1548,Polygon,4,Africa Red Sea Gulf of Aden Coast - AFR,Africa Red Sea Gulf of Aden Coast,AFR,5,48.304528,585875.5311,5|AFR,143,SDN,Sudan,MEA,DEV,Africa +1549,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,143,SDN,Sudan,MEA,DEV,Africa +1550,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,47,DZA,Algeria,MEA,DEV,Africa +1551,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,47,DZA,Algeria,MEA,DEV,Africa +1552,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1553,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1554,Polygon,11,Lake Chad - AFR,Lake Chad,AFR,78,189.088708,2244982.268,78|AFR,119,NER,Niger,AFR,DEV,Africa +1555,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,119,NER,Niger,AFR,DEV,Africa +1556,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,47,DZA,Algeria,MEA,DEV,Africa +1557,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,47,DZA,Algeria,MEA,DEV,Africa +1558,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,107,MLI,Mali,AFR,DEV,Africa +1559,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,107,MLI,Mali,AFR,DEV,Africa +1560,Polygon,15,Niger - AFR,Niger,AFR,95,163.279157,1954323.883,95|AFR,119,NER,Niger,AFR,DEV,Africa +1561,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,119,NER,Niger,AFR,DEV,Africa +1562,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1563,Polygon,18,Rift Valley - AFR,Rift Valley,AFR,121,52.696041,642737.0241,121|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1564,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1565,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,50,ERI,Eritrea,AFR,DEV,Africa +1566,Polygon,16,Nile - AFR,Nile,AFR,96,69.574461,848882.4077,96|AFR,50,ERI,Eritrea,AFR,DEV,Africa +1567,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,50,ERI,Eritrea,AFR,DEV,Africa +1568,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1569,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,31,CHN,China,CPA,DEV,Eurasia +1570,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,74,IND,India,SAS,DEV,Eurasia +1571,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,74,IND,India,SAS,DEV,Eurasia +1572,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +1573,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +1574,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1575,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +1576,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1577,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1578,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,25,BTN,Bhutan,SAS,DEV,Eurasia +1579,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,25,BTN,Bhutan,SAS,DEV,Eurasia +1580,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1581,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,31,CHN,China,CPA,DEV,Eurasia +1582,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,74,IND,India,SAS,DEV,Eurasia +1583,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1584,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +1585,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +1586,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,31,CHN,China,CPA,DEV,Eurasia +1587,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,31,CHN,China,CPA,DEV,Eurasia +1588,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,124,NPL,Nepal,SAS,DEV,Eurasia +1589,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +1590,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1591,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1592,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1593,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1594,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1595,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,31,CHN,China,CPA,DEV,Eurasia +1596,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1597,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1598,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1599,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1600,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1601,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1602,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1603,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,31,CHN,China,CPA,DEV,Eurasia +1604,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1605,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1606,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1607,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1608,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1609,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1610,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1611,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,31,CHN,China,CPA,DEV,Eurasia +1612,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1613,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1614,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1615,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1616,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,31,CHN,China,CPA,DEV,Eurasia +1617,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1618,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,31,CHN,China,CPA,DEV,Eurasia +1619,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1620,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +1621,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +1622,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,31,CHN,China,CPA,DEV,Eurasia +1623,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,31,CHN,China,CPA,DEV,Eurasia +1624,Polygon,33,Indus - CPA,Indus,CPA,67,9.172491,95601.70969,67|CPA,74,IND,India,SAS,DEV,Eurasia +1625,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,74,IND,India,SAS,DEV,Eurasia +1626,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +1627,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,31,CHN,China,CPA,DEV,Eurasia +1628,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +1629,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1630,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +1631,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1632,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1633,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,31,CHN,China,CPA,DEV,Eurasia +1634,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1635,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1636,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1637,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1638,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1639,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,31,CHN,China,CPA,DEV,Eurasia +1640,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1641,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1642,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,31,CHN,China,CPA,DEV,Eurasia +1643,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,31,CHN,China,CPA,DEV,Eurasia +1644,Polygon,35,Lake Balkash - CPA,Lake Balkash,CPA,77,8.707447,77304.94374,77|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1645,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1646,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,31,CHN,China,CPA,DEV,Eurasia +1647,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1648,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,31,CHN,China,CPA,DEV,Eurasia +1649,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,31,CHN,China,CPA,DEV,Eurasia +1650,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1651,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1652,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1653,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1654,Polygon,38,Ob - CPA,Ob,CPA,105,11.899375,100049.4743,105|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1655,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1656,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1657,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1658,Polygon,39,Plateau of Tibet Interior - CPA,Plateau of Tibet Interior,CPA,118,38.134445,398525.0408,118|CPA,31,CHN,China,CPA,DEV,Eurasia +1659,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1660,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1661,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1662,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1663,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,31,CHN,China,CPA,DEV,Eurasia +1664,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,161,TJK,Tajikistan,FSU,IND,Eurasia +1665,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1666,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1667,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,31,CHN,China,CPA,DEV,Eurasia +1668,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1669,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1670,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,161,TJK,Tajikistan,FSU,IND,Eurasia +1671,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1672,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,1,AFG,Afghanistan,SAS,DEV,Eurasia +1673,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,1,AFG,Afghanistan,SAS,DEV,Eurasia +1674,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1675,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,31,CHN,China,CPA,DEV,Eurasia +1676,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,127,PAK,Pakistan,SAS,DEV,Eurasia +1677,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,127,PAK,Pakistan,SAS,DEV,Eurasia +1678,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1679,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1680,Polygon,46,Adriatic Sea Greece Black Sea Coast - EEU,Adriatic Sea Greece Black Sea Coast,EEU,0,19.014028,173360.1311,0|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1681,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1682,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,8,AUT,Austria,WEU,IND,Eurasia +1683,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,8,AUT,Austria,WEU,IND,Eurasia +1684,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1685,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1686,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,43,DEU,Germany,WEU,IND,Eurasia +1687,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,43,DEU,Germany,WEU,IND,Eurasia +1688,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1689,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1690,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,132,POL,Poland,EEU,IND,Eurasia +1691,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +1692,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +1693,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,153,SVK,Slovakia,EEU,IND,Eurasia +1694,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1695,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1696,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,132,POL,Poland,EEU,IND,Eurasia +1697,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,132,POL,Poland,EEU,IND,Eurasia +1698,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1699,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1700,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,132,POL,Poland,EEU,IND,Eurasia +1701,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,132,POL,Poland,EEU,IND,Eurasia +1702,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1703,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1704,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1705,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1706,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,43,DEU,Germany,WEU,IND,Eurasia +1707,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,43,DEU,Germany,WEU,IND,Eurasia +1708,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,8,AUT,Austria,WEU,IND,Eurasia +1709,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,8,AUT,Austria,WEU,IND,Eurasia +1710,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1711,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1712,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1713,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1714,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,132,POL,Poland,EEU,IND,Eurasia +1715,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +1716,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,8,AUT,Austria,WEU,IND,Eurasia +1717,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,8,AUT,Austria,WEU,IND,Eurasia +1718,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,8,AUT,Austria,WEU,IND,Eurasia +1719,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,8,AUT,Austria,WEU,IND,Eurasia +1720,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1721,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1722,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,43,DEU,Germany,WEU,IND,Eurasia +1723,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,43,DEU,Germany,WEU,IND,Eurasia +1724,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +1725,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,132,POL,Poland,EEU,IND,Eurasia +1726,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1727,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1728,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1729,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1730,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1731,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1732,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1733,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1734,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1735,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1736,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,31,CHN,China,CPA,DEV,Eurasia +1737,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,31,CHN,China,CPA,DEV,Eurasia +1738,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1739,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1740,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1741,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1742,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1743,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1744,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1745,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1746,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1747,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1748,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1749,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1750,Polygon,54,Black Sea North Coast - FSU,Black Sea North Coast,FSU,25,20.764288,179793.2061,25|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1751,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1752,Polygon,55,Black Sea South Coast - FSU,Black Sea South Coast,FSU,26,3.495252,31887.72231,26|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1753,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1754,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1755,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1756,Polygon,56,Caspian Sea East Coast - FSU,Caspian Sea East Coast,FSU,30,55.501221,526067.1525,30|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1757,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,174,UZB,Uzbekistan,FSU,IND,Eurasia +1758,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1759,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1760,Polygon,57,Caspian Sea South West Coast - FSU,Caspian Sea South West Coast,FSU,31,37.276981,338404.5674,31|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1761,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1762,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1763,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1764,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,132,POL,Poland,EEU,IND,Eurasia +1765,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,132,POL,Poland,EEU,IND,Eurasia +1766,Polygon,58,Danube - FSU,Danube,FSU,39,4.986796,41698.27601,39|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1767,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1768,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1769,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1770,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1771,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1772,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1773,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1774,Polygon,60,Dniester Black Sea North Coast - FSU,Dniester Black Sea North Coast,FSU,43,19.704363,162733.9186,43|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1775,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1776,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1777,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1778,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,31,CHN,China,CPA,DEV,Eurasia +1779,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,31,CHN,China,CPA,DEV,Eurasia +1780,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1781,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1782,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,31,CHN,China,CPA,DEV,Eurasia +1783,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,31,CHN,China,CPA,DEV,Eurasia +1784,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1785,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1786,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1787,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1788,Polygon,63,Gobi Interior - FSU,Gobi Interior,FSU,54,3.152376,24997.25441,54|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1789,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1790,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,31,CHN,China,CPA,DEV,Eurasia +1791,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,31,CHN,China,CPA,DEV,Eurasia +1792,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1793,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1794,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1795,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1796,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1797,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1798,Polygon,66,Lake Balkash - FSU,Lake Balkash,FSU,77,46.681042,401878.0217,77|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1799,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1800,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1801,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1802,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,31,CHN,China,CPA,DEV,Eurasia +1803,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,31,CHN,China,CPA,DEV,Eurasia +1804,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1805,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,86,KGZ,Kyrgyzstan,FSU,IND,Eurasia +1806,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1807,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1808,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1809,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,84,KAZ,Kazakhstan,FSU,IND,Eurasia +1810,Polygon,76,Ural Caspian Sea Coast - FSU,Ural Caspian Sea Coast,FSU,154,89.875358,735663.5188,154|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1811,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1812,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1813,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,47,DZA,Algeria,MEA,DEV,Africa +1814,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1815,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1816,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,143,SDN,Sudan,MEA,DEV,Africa +1817,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,143,SDN,Sudan,MEA,DEV,Africa +1818,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,49,EGY,Egypt,MEA,DEV,Africa +1819,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,49,EGY,Egypt,MEA,DEV,Africa +1820,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1821,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,93,LBY,Libyan Arab Jamahiriya,MEA,DEV,Africa +1822,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,166,TUN,Tunisia,MEA,DEV,Africa +1823,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,166,TUN,Tunisia,MEA,DEV,Africa +1824,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,47,DZA,Algeria,MEA,DEV,Africa +1825,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,47,DZA,Algeria,MEA,DEV,Africa +1826,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,107,MLI,Mali,AFR,DEV,Africa +1827,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,107,MLI,Mali,AFR,DEV,Africa +1828,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,49,EGY,Egypt,MEA,DEV,Africa +1829,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,49,EGY,Egypt,MEA,DEV,Africa +1830,Polygon,107,Africa North Interior - MEA,Africa North Interior,MEA,3,392.331254,4307472.992,3|MEA,143,SDN,Sudan,MEA,DEV,Africa +1831,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,143,SDN,Sudan,MEA,DEV,Africa +1832,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,49,EGY,Egypt,MEA,DEV,Africa +1833,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,49,EGY,Egypt,MEA,DEV,Africa +1834,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,49,EGY,Egypt,MEA,DEV,Africa +1835,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,49,EGY,Egypt,MEA,DEV,Africa +1836,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,143,SDN,Sudan,MEA,DEV,Africa +1837,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,143,SDN,Sudan,MEA,DEV,Africa +1838,Polygon,109,Africa Red Sea Gulf of Aden Coast - MEA,Africa Red Sea Gulf of Aden Coast,MEA,5,14.679404,167557.3873,5|MEA,49,EGY,Egypt,MEA,DEV,Africa +1839,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,49,EGY,Egypt,MEA,DEV,Africa +1840,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +1841,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +1842,Polygon,110,Arabian Peninsula - MEA,Arabian Peninsula,MEA,14,188.449827,2138127.153,14|MEA,180,YEM,Yemen,MEA,DEV,Eurasia +1843,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,180,YEM,Yemen,MEA,DEV,Eurasia +1844,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,49,EGY,Egypt,MEA,DEV,Africa +1845,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,49,EGY,Egypt,MEA,DEV,Africa +1846,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,79,ISR,Israel,MEA,DEV,Eurasia +1847,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,79,ISR,Israel,MEA,DEV,Eurasia +1848,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +1849,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,82,JOR,Jordan,MEA,DEV,Eurasia +1850,Polygon,114,Dead Sea Eastern Jordan Syria - MEA,Dead Sea Eastern Jordan Syria,MEA,40,21.621321,229199.2619,40|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +1851,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,142,SAU,Saudi Arabia,MEA,DEV,Eurasia +1852,Polygon,116,Lake Chad - MEA,Lake Chad,MEA,78,18.695124,217413.5383,78|MEA,47,DZA,Algeria,MEA,DEV,Africa +1853,Polygon,119,Niger - MEA,Niger,MEA,95,14.01785,160992.8377,95|MEA,47,DZA,Algeria,MEA,DEV,Africa +1854,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,49,EGY,Egypt,MEA,DEV,Africa +1855,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,49,EGY,Egypt,MEA,DEV,Africa +1856,Polygon,117,Mediterranean Sea East Coast - MEA,Mediterranean Sea East Coast,MEA,85,9.746063,100987.3616,85|MEA,49,EGY,Egypt,MEA,DEV,Africa +1857,Polygon,122,Red Sea East Coast - MEA,Red Sea East Coast,MEA,120,47.705841,550393.1,120|MEA,49,EGY,Egypt,MEA,DEV,Africa +1858,Polygon,118,Mediterranean South Coast - MEA,Mediterranean South Coast,MEA,87,54.246915,560741.3603,87|MEA,49,EGY,Egypt,MEA,DEV,Africa +1859,Polygon,120,Nile - MEA,Nile,MEA,96,188.55002,2234557.766,96|MEA,49,EGY,Egypt,MEA,DEV,Africa +1860,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1861,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1862,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1863,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1864,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,74,IND,India,SAS,DEV,Eurasia +1865,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,74,IND,India,SAS,DEV,Eurasia +1866,Polygon,155,Bay of Bengal North East Coast - PAS,Bay of Bengal North East Coast,PAS,24,4.682429,54084.11956,24|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1867,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1868,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,74,IND,India,SAS,DEV,Eurasia +1869,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,74,IND,India,SAS,DEV,Eurasia +1870,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1871,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1872,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1873,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1874,Polygon,175,Bay of Bengal North East Coast - SAS,Bay of Bengal North East Coast,SAS,24,3.569228,40602.96406,24|SAS,74,IND,India,SAS,DEV,Eurasia +1875,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1876,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1877,Polygon,179,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai,SAS,65,106.089051,1240076.779,65|SAS,14,BGD,Bangladesh,SAS,DEV,Eurasia +1878,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1879,Polygon,179,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai - SAS,India East Coast Pennar Mahandi Krishna Cauvery Brahamini Yasai,SAS,65,106.089051,1240076.779,65|SAS,74,IND,India,SAS,DEV,Eurasia +1880,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1881,Polygon,180,India West Coast Tapti Narmada Mahi - SAS,India West Coast Tapti Narmada Mahi,SAS,66,27.195846,315053.6385,66|SAS,74,IND,India,SAS,DEV,Eurasia +1882,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,31,CHN,China,CPA,DEV,Eurasia +1883,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,31,CHN,China,CPA,DEV,Eurasia +1884,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1885,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,74,IND,India,SAS,DEV,Eurasia +1886,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +1887,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,124,NPL,Nepal,SAS,DEV,Eurasia +1888,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1889,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,74,IND,India,SAS,DEV,Eurasia +1890,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +1891,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,74,IND,India,SAS,DEV,Eurasia +1892,Polygon,180,India West Coast Tapti Narmada Mahi - SAS,India West Coast Tapti Narmada Mahi,SAS,66,27.195846,315053.6385,66|SAS,74,IND,India,SAS,DEV,Eurasia +1893,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,74,IND,India,SAS,DEV,Eurasia +1894,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,74,IND,India,SAS,DEV,Eurasia +1895,Polygon,184,Sabarmati - SAS,Sabarmati,SAS,124,47.438945,525238.9655,124|SAS,74,IND,India,SAS,DEV,Eurasia +1896,Polygon,181,Indus - SAS,Indus,SAS,67,73.63377,768342.1834,67|SAS,31,CHN,China,CPA,DEV,Eurasia +1897,Polygon,186,Tarim Interior - SAS,Tarim Interior,SAS,148,0.212744,2118.01342,148|SAS,31,CHN,China,CPA,DEV,Eurasia +1898,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,8,AUT,Austria,WEU,IND,Eurasia +1899,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,8,AUT,Austria,WEU,IND,Eurasia +1900,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1901,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1902,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1903,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +1904,Polygon,192,Danube - WEU,Danube,WEU,39,16.756037,139184.601,39|WEU,43,DEU,Germany,WEU,IND,Eurasia +1905,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,43,DEU,Germany,WEU,IND,Eurasia +1906,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1907,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1908,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1909,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1910,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,56,FRA,France,WEU,IND,Eurasia +1911,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,56,FRA,France,WEU,IND,Eurasia +1912,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,80,ITA,Italy,WEU,IND,Eurasia +1913,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +1914,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,56,FRA,France,WEU,IND,Eurasia +1915,Polygon,208,Tiber Italy West Coast - WEU,Tiber Italy West Coast,WEU,150,9.345155,86211.92606,150|WEU,56,FRA,France,WEU,IND,Eurasia +1916,Polygon,195,Ebro Spain France South Coast Rhone - WEU,Ebro Spain France South Coast Rhone,WEU,47,34.018887,310132.6264,47|WEU,80,ITA,Italy,WEU,IND,Eurasia +1917,Polygon,208,Tiber Italy West Coast - WEU,Tiber Italy West Coast,WEU,150,9.345155,86211.92606,150|WEU,80,ITA,Italy,WEU,IND,Eurasia +1918,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1919,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,29,CHE,Switzerland,WEU,IND,Eurasia +1920,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,80,ITA,Italy,WEU,IND,Eurasia +1921,Polygon,204,Po Italy East Coast - WEU,Po Italy East Coast,WEU,119,18.81415,166461.512,119|WEU,80,ITA,Italy,WEU,IND,Eurasia +1922,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +1923,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,31,CHN,China,CPA,DEV,Eurasia +1924,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,31,CHN,China,CPA,DEV,Eurasia +1925,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,161,TJK,Tajikistan,FSU,IND,Eurasia +1926,Polygon,50,Amu Darya - FSU,Amu Darya,FSU,10,68.686585,638906.5738,10|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1927,Polygon,75,Tarim Interior - FSU,Tarim Interior,FSU,148,2.809047,26147.66328,148|FSU,161,TJK,Tajikistan,FSU,IND,Eurasia +1928,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,132,POL,Poland,EEU,IND,Eurasia +1929,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +1930,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,132,POL,Poland,EEU,IND,Eurasia +1931,Polygon,47,Danube - EEU,Danube,EEU,39,70.908193,611033.5807,39|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1932,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,171,UKR,Ukraine,FSU,IND,Eurasia +1933,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,171,UKR,Ukraine,FSU,IND,Eurasia +1934,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,31,CHN,China,CPA,DEV,Eurasia +1935,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1936,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1937,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +1938,Polygon,26,China Coast - CPA,China Coast,CPA,35,35.235383,370017.1724,35|CPA,31,CHN,China,CPA,DEV,Eurasia +1939,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +1940,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +1941,Polygon,30,Hainan - CPA,Hainan,CPA,60,2.934529,34161.76835,60|CPA,31,CHN,China,CPA,DEV,Eurasia +1942,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,31,CHN,China,CPA,DEV,Eurasia +1943,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +1944,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +1945,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,74,IND,India,SAS,DEV,Eurasia +1946,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +1947,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +1948,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +1949,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,31,CHN,China,CPA,DEV,Eurasia +1950,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,31,CHN,China,CPA,DEV,Eurasia +1951,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1952,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +1953,Polygon,45,Ziya He Interior - CPA,Ziya He Interior,CPA,162,35.711991,342529.4964,162|CPA,31,CHN,China,CPA,DEV,Eurasia +1954,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,31,CHN,China,CPA,DEV,Eurasia +1955,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1956,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1957,Polygon,64,Japan - FSU,Japan,FSU,71,0.745368,6531.473637,71|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1958,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,31,CHN,China,CPA,DEV,Eurasia +1959,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1960,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,188,PRK,North Korea,CPA,DEV,Eurasia +1961,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +1962,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1963,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,31,CHN,China,CPA,DEV,Eurasia +1964,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,160,THA,Thailand,PAS,DEV,Eurasia +1965,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,31,CHN,China,CPA,DEV,Eurasia +1966,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +1967,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +1968,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,31,CHN,China,CPA,DEV,Eurasia +1969,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1970,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1971,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1972,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,31,CHN,China,CPA,DEV,Eurasia +1973,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,31,CHN,China,CPA,DEV,Eurasia +1974,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +1975,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +1976,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,31,CHN,China,CPA,DEV,Eurasia +1977,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,31,CHN,China,CPA,DEV,Eurasia +1978,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1979,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1980,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +1981,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +1982,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1983,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1984,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,31,CHN,China,CPA,DEV,Eurasia +1985,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,31,CHN,China,CPA,DEV,Eurasia +1986,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +1987,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,111,MNG,Mongolia,CPA,DEV,Eurasia +1988,Polygon,25,Amur - CPA,Amur,CPA,11,148.389743,1240189.462,11|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +1989,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +1990,Polygon,26,China Coast - CPA,China Coast,CPA,35,35.235383,370017.1724,35|CPA,31,CHN,China,CPA,DEV,Eurasia +1991,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,31,CHN,China,CPA,DEV,Eurasia +1992,Polygon,26,China Coast - CPA,China Coast,CPA,35,35.235383,370017.1724,35|CPA,31,CHN,China,CPA,DEV,Eurasia +1993,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +1994,Polygon,26,China Coast - CPA,China Coast,CPA,35,35.235383,370017.1724,35|CPA,31,CHN,China,CPA,DEV,Eurasia +1995,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +1996,Polygon,27,Ganges Bramaputra - CPA,Ganges Bramaputra,CPA,53,29.356469,315782.155,53|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +1997,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +1998,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +1999,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +2000,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +2001,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,31,CHN,China,CPA,DEV,Eurasia +2002,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +2003,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,111,MNG,Mongolia,CPA,DEV,Eurasia +2004,Polygon,28,Gobi Interior - CPA,Gobi Interior,CPA,54,209.484426,1852165.817,54|CPA,31,CHN,China,CPA,DEV,Eurasia +2005,Polygon,45,Ziya He Interior - CPA,Ziya He Interior,CPA,162,35.711991,342529.4964,162|CPA,31,CHN,China,CPA,DEV,Eurasia +2006,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2007,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2008,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2009,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2010,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2011,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2012,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +2013,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2014,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,31,CHN,China,CPA,DEV,Eurasia +2015,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,31,CHN,China,CPA,DEV,Eurasia +2016,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2017,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2018,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +2019,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +2020,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2021,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2022,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +2023,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,177,VNM,Viet Nam,CPA,DEV,Eurasia +2024,Polygon,31,Hong Red River Xun Jiang South China Sea Coast - CPA,Hong Red River Xun Jiang South China Sea Coast,CPA,61,67.286597,759908.0863,61|CPA,31,CHN,China,CPA,DEV,Eurasia +2025,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +2026,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +2027,Polygon,41,Tarim Interior - CPA,Tarim Interior,CPA,148,163.251571,1583756.501,148|CPA,31,CHN,China,CPA,DEV,Eurasia +2028,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +2029,Polygon,43,Yangtze - CPA,Yangtze,CPA,159,180.676812,1922680.372,159|CPA,31,CHN,China,CPA,DEV,Eurasia +2030,Polygon,32,Huang He - CPA,Huang He,CPA,62,97.594463,963359.2825,62|CPA,31,CHN,China,CPA,DEV,Eurasia +2031,Polygon,45,Ziya He Interior - CPA,Ziya He Interior,CPA,162,35.711991,342529.4964,162|CPA,31,CHN,China,CPA,DEV,Eurasia +2032,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +2033,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,31,CHN,China,CPA,DEV,Eurasia +2034,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +2035,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2036,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,31,CHN,China,CPA,DEV,Eurasia +2037,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,31,CHN,China,CPA,DEV,Eurasia +2038,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +2039,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2040,Polygon,34,Irrawaddy Salween Sittang - CPA,Irrawaddy Salween Sittang,CPA,70,14.690616,158257.727,70|CPA,74,IND,India,SAS,DEV,Eurasia +2041,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,74,IND,India,SAS,DEV,Eurasia +2042,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2043,Polygon,42,Vietnam Coast - CPA,Vietnam Coast,CPA,156,16.234185,192524.5484,156|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2044,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,31,CHN,China,CPA,DEV,Eurasia +2045,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,31,CHN,China,CPA,DEV,Eurasia +2046,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2047,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2048,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,109,MMR,Myanmar,PAS,DEV,Eurasia +2049,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2050,Polygon,37,North and South Korea Bo Hai Korean Bay North Coast - CPA,North and South Korea Bo Hai Korean Bay North Coast,CPA,98,45.52043,420357.9594,98|CPA,31,CHN,China,CPA,DEV,Eurasia +2051,Polygon,45,Ziya He Interior - CPA,Ziya He Interior,CPA,162,35.711991,342529.4964,162|CPA,31,CHN,China,CPA,DEV,Eurasia +2052,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,31,CHN,China,CPA,DEV,Eurasia +2053,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,31,CHN,China,CPA,DEV,Eurasia +2054,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +2055,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2056,Polygon,40,Russia South East Coast - CPA,Russia South East Coast,CPA,123,5.496762,49902.09664,123|CPA,188,PRK,North Korea,CPA,DEV,Eurasia +2057,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,188,PRK,North Korea,CPA,DEV,Eurasia +2058,Polygon,44,Yenisey - CPA,Yenisey,CPA,160,40.245629,327652.619,160|CPA,140,RUS,Russian Federation,FSU,IND,Eurasia +2059,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2060,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,31,CHN,China,CPA,DEV,Eurasia +2061,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,31,CHN,China,CPA,DEV,Eurasia +2062,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2063,Polygon,70,Russia South East Coast - FSU,Russia South East Coast,FSU,123,13.184777,111164.1489,123|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2064,Polygon,51,Amur - FSU,Amur,FSU,11,129.324536,1005818.45,11|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2065,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2066,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2067,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2068,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2069,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2070,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2071,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2072,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,31,CHN,China,CPA,DEV,Eurasia +2073,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,31,CHN,China,CPA,DEV,Eurasia +2074,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2075,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2076,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2077,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2078,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2079,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2080,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2081,Polygon,165,Peninsula Malaysia - PAS,Peninsula Malaysia,PAS,114,23.561644,286682.0894,114|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2082,Polygon,158,Irrawaddy Salween Sittang - PAS,Irrawaddy Salween Sittang,PAS,70,49.829726,570226.9719,70|PAS,74,IND,India,SAS,DEV,Eurasia +2083,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,74,IND,India,SAS,DEV,Eurasia +2084,Polygon,178,Ganges Bramaputra - SAS,Ganges Bramaputra,SAS,53,114.57362,1265279.175,53|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2085,Polygon,182,Irrawaddy Salween Sittang - SAS,Irrawaddy Salween Sittang,SAS,70,1.56435,17483.78678,70|SAS,109,MMR,Myanmar,PAS,DEV,Eurasia +2086,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2087,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2088,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,90,LAO,Lao People's Dem. Republic,CPA,DEV,Eurasia +2089,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +2090,Polygon,36,Mekong - CPA,Mekong,CPA,88,48.830588,563659.4264,88|CPA,160,THA,Thailand,PAS,DEV,Eurasia +2091,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2092,Polygon,29,Gulf of Thailand Coast Chao Phraya - CPA,Gulf of Thailand Coast Chao Phraya,CPA,59,3.352229,40586.46468,59|CPA,160,THA,Thailand,PAS,DEV,Eurasia +2093,Polygon,156,Gulf of Thailand Coast Chao Phraya - PAS,Gulf of Thailand Coast Chao Phraya,PAS,59,16.330681,193018.1772,59|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2094,Polygon,161,Mekong - PAS,Mekong,PAS,88,17.781224,209527.1342,88|PAS,160,THA,Thailand,PAS,DEV,Eurasia +2095,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,19,BLR,Belarus,FSU,IND,Eurasia +2096,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,43,DEU,Germany,WEU,IND,Eurasia +2097,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,52,EST,Estonia,FSU,IND,Eurasia +2098,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,97,LTU,Lithuania,FSU,IND,Eurasia +2099,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,99,LVA,Latvia,FSU,IND,Eurasia +2100,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,140,RUS,Russian Federation,FSU,IND,Eurasia +2101,Polygon,52,Arctic Ocean Islands - FSU,Arctic Ocean Islands,FSU,16,30.917166,95057.58763,16|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2102,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2103,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,19,BLR,Belarus,FSU,IND,Eurasia +2104,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2105,Polygon,65,Kara Sea Coast - FSU,Kara Sea Coast,FSU,74,142.428526,672073.418,74|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2106,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,19,BLR,Belarus,FSU,IND,Eurasia +2107,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,52,EST,Estonia,FSU,IND,Eurasia +2108,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,97,LTU,Lithuania,FSU,IND,Eurasia +2109,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,99,LVA,Latvia,FSU,IND,Eurasia +2110,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2111,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2112,Polygon,72,Siberia North Coast - FSU,Siberia North Coast,FSU,131,314.896307,1204021.883,131|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2113,Polygon,74,Syr Darya - FSU,Syr Darya,FSU,146,120.171099,1039662.168,146|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2114,Polygon,193,Denmark Germany Coast - WEU,Denmark Germany Coast,WEU,41,10.464906,74239.22464,41|WEU,43,DEU,Germany,WEU,IND,Eurasia +2115,Polygon,193,Denmark Germany Coast - WEU,Denmark Germany Coast,WEU,41,10.464906,74239.22464,41|WEU,132,POL,Poland,EEU,IND,Eurasia +2116,Polygon,196,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - WEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,WEU,48,96.28483,783666.5287,48|WEU,122,NLD,Netherlands,WEU,IND,Eurasia +2117,Polygon,198,Finland Neva - WEU,Finland Neva,WEU,51,52.764861,289746.3727,51|WEU,140,RUS,Russian Federation,FSU,IND,Eurasia +2118,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +2119,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,43,DEU,Germany,WEU,IND,Eurasia +2120,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,132,POL,Poland,EEU,IND,Eurasia +2121,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North Coast,WEU,127,64.148928,337117.202,127|WEU,140,RUS,Russian Federation,FSU,IND,Eurasia +2122,Polygon,48,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast - EEU,Elbe Ems Gironde Loire Maas Rhine Scheldt Seine France West Coast,EEU,48,6.258782,50029.54027,48|EEU,43,DEU,Germany,WEU,IND,Eurasia +2123,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,43,DEU,Germany,WEU,IND,Eurasia +2124,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,19,BLR,Belarus,FSU,IND,Eurasia +2125,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,19,BLR,Belarus,FSU,IND,Eurasia +2126,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,52,EST,Estonia,FSU,IND,Eurasia +2127,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,52,EST,Estonia,FSU,IND,Eurasia +2128,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,97,LTU,Lithuania,FSU,IND,Eurasia +2129,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,97,LTU,Lithuania,FSU,IND,Eurasia +2130,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,99,LVA,Latvia,FSU,IND,Eurasia +2131,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,99,LVA,Latvia,FSU,IND,Eurasia +2132,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,140,RUS,Russian Federation,FSU,IND,Eurasia +2133,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2134,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,42,CZE,Czech Republic,EEU,IND,Eurasia +2135,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,42,CZE,Czech Republic,EEU,IND,Eurasia +2136,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,43,DEU,Germany,WEU,IND,Eurasia +2137,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,43,DEU,Germany,WEU,IND,Eurasia +2138,Polygon,49,Oder Wisla Neman Daugava Neva Poland Baltic Coast - EEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,EEU,106,67.777521,495681.7126,106|EEU,132,POL,Poland,EEU,IND,Eurasia +2139,Polygon,203,Oder Wisla Neman Daugava Neva Poland Baltic Coast - WEU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,WEU,106,0.756517,5719.727165,106|WEU,132,POL,Poland,EEU,IND,Eurasia +2140,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2141,Polygon,62,Finland Neva - FSU,Finland Neva,FSU,51,38.107688,234074.1242,51|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2142,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2143,Polygon,65,Kara Sea Coast - FSU,Kara Sea Coast,FSU,74,142.428526,672073.418,74|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2144,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2145,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2146,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2147,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2148,Polygon,53,Barents Sea Coast Northern Dvina - FSU,Barents Sea Coast Northern Dvina,FSU,23,184.358189,989916.066,23|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2149,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2150,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2151,Polygon,61,Don - FSU,Don,FSU,44,54.946665,439101.2614,44|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2152,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,19,BLR,Belarus,FSU,IND,Eurasia +2153,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,19,BLR,Belarus,FSU,IND,Eurasia +2154,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2155,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2156,Polygon,59,Dnieper - FSU,Dnieper,FSU,42,66.003105,511732.1097,42|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2157,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2158,Polygon,62,Finland Neva - FSU,Finland 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FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2181,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2182,Polygon,68,Ob - FSU,Ob,FSU,105,442.009642,3002628.166,105|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2183,Polygon,78,Yenisey - FSU,Yenisey,FSU,160,349.074142,2190490.675,160|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2184,Polygon,69,Oder Wisla Neman Daugava Neva Poland Baltic Coast - FSU,Oder Wisla Neman Daugava Neva Poland Baltic Coast,FSU,106,27.277569,192320.1147,106|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2185,Polygon,77,Volga - FSU,Volga,FSU,157,203.598695,1410759.653,157|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2186,Polygon,71,Scandinavia North Coast - FSU,Scandinavia North Coast,FSU,127,47.820376,236144.0466,127|FSU,140,RUS,Russian Federation,FSU,IND,Eurasia +2187,Polygon,205,Scandinavia North Coast - WEU,Scandinavia North 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_manufacturing_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_manufacturing_withdrawal_baseline.csv index 958729cf22..d569d70b14 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_manufacturing_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_manufacturing_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:47ff4e56401a8f115f6e4a1c9ba986290fa0086edd45d2bfab8829956baea9ac -size 20037 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_connection_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_connection_rate_baseline.csv index a373a13bc6..b8be4b8a40 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_connection_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_connection_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7f9601471ee8a50ae153f62c773c250b75f3d5c226f592cc81ab8f95407e3c68 -size 15216 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_return_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_return_baseline.csv index ea0545aa65..932fb6a800 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_return_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_return_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3ab6a03c3215889fa1d5b8487059081eef540ac2a2c7ea22ad96dd0197cc4d2e -size 19819 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_treatment_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_treatment_rate_baseline.csv index 51ce5b517c..02dacb855f 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_treatment_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_treatment_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ecbe33af77e86409584e914c4338028d64f2f9b9a5e70e3ac882fd9c4b7f9fb8 -size 15060 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_withdrawal_baseline.csv index b9477be1b8..032ac9684f 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_rural_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:edecc52634b5839f3b3fe984a6a39496358411ce793ae63f77a8c3c432a0de89 -size 20035 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_connection_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_connection_rate_baseline.csv index 4702569663..ad42aada00 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_connection_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_connection_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:33fb51a85efdf4074421fec1b4d8874664d98c3a746dd8b06045896fe44d8f91 -size 15197 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_recycling_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_recycling_rate_baseline.csv index 5749f04008..66198c31bc 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_recycling_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_recycling_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:82dcac2406e392ccbcabf3a560e0a4848ab0339b33d9b830489351bb066702c8 -size 15917 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return2_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return2_baseline.csv index 7e33df2bab..1f341ecd14 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return2_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return2_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:820a9d7100deb461727e17efbfa9f52a26b7ae77b9866fbfdbb767ff13338129 -size 19992 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return_baseline.csv index bb7982d62a..683dcb41e0 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_return_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:945c1cc3fceef74719faf3713867b676bdec82c2d3f1dfc4d4bb927cc71dc0ae -size 20596 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_treatment_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_treatment_rate_baseline.csv index ae88be8f9d..8d496672fc 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_treatment_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_treatment_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5dce638318eb41ce4fd5c3902ceafe4500afc99cddf697e0ceedf07ef9676127 -size 15074 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal2_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal2_baseline.csv index 43cc6b6952..a2f262e23b 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal2_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal2_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cc187b578f1c21e34a28782ce3d6a7e4c8b5b3949a2c066bcb5e92f97dfa68ab -size 20131 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diff --git a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal_baseline.csv index d59dce6aa0..ac4e05b2a2 100644 --- a/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R11/ssp2_regional_urban_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:46beeca6ecd4eab00b0824d7f119fee5ab40acc8976d672b827a8cdf697ef769 -size 20668 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_return_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_return_baseline.csv index c5b91f5911..57041e9fad 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_return_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_return_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:749646f24509f830238fc15aa942c5d8aeead41bd8ac7f4d28011f85e13a75a9 -size 20480 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_withdrawal_baseline.csv index 86d48927d3..066da9e61d 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_manufacturing_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1e13aa6382ff2f1d0d83575d98345640d09c1d838385cf6291a89cfc85f7b26f -size 20487 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_connection_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_connection_rate_baseline.csv index 54f913eef0..119c27b3b0 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_connection_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_connection_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e4f6ef989627613b1a2786400aa120a7219bb64ce80d898d4723a479890237b6 -size 15548 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_return_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_return_baseline.csv index 7bb14d7dd3..a6b2c0575c 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_return_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_return_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ca409c118f7454e7e296f61e77f64364de1f75b79585ecc45ba24984c21a0ac4 -size 20441 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_treatment_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_treatment_rate_baseline.csv index 5191e884f0..3384a17e15 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_treatment_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_treatment_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:59629b41574d84da92d6fbb14a11a2879d8826a661a9cf663c48ee805f6da45b -size 15440 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_withdrawal_baseline.csv index c69a50471f..2e94e135fd 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_rural_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:dcaec82932c0c1a288f82448706fdf13a5fbdbc4c01d7808d608a32714249c67 -size 20559 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_connection_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_connection_rate_baseline.csv index 251c207e8b..cd67012f40 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_connection_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_connection_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3d5683c82ff4f8fee65eb6277f9744b7557af3649b76f8f917e17fe9d16ea5a0 -size 15623 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_recycling_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_recycling_rate_baseline.csv index 899f7211a6..f3f9be7e88 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_recycling_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_recycling_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f717ec1e795d0e884bc283dfb9a2d7a61085db9a2e15919e288f442e9834d859 -size 16381 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return2_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return2_baseline.csv index f1b408c9fd..c04968091a 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return2_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return2_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:baf5bc495bd1a356157ff9ef44f14e8ad29b012b2db97d02d780142348304488 -size 20517 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return_baseline.csv index 19279aeb05..3184087ca5 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_return_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:084de543e09d975cc93dd15d79b4be00d4ece26f6115c8a26e1cbf244c2eaa93 -size 21150 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_treatment_rate_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_treatment_rate_baseline.csv index 4a6547cf38..047879a398 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_treatment_rate_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_treatment_rate_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:06f270622d88fc4898ef5903d1d698b2471fec5bcf25e96beadd31e1e4a43f50 -size 15514 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal2_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal2_baseline.csv index 2381a3385e..f026714b6d 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal2_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal2_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:59eb4f0eacb187c2cc8ef8771b3a178e43a435c5f64fb831f6739c8a35f2f14f -size 20592 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diff --git a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal_baseline.csv b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal_baseline.csv index c3d6622de3..bd9953f5f9 100644 --- a/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal_baseline.csv +++ b/message_ix_models/data/water/demands/harmonized/R12/ssp2_regional_urban_withdrawal_baseline.csv @@ -1,3 +1,12 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cfe5a1690abe693293e9a4509d009e3a9bd653036eb2478caa799e8d6eedc84c -size 21250 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+2020,17|Northern,urban_connection_rate_baseline,0.516,year +2020,18|Northern,urban_connection_rate_baseline,0.0,year +2020,19|Central,urban_connection_rate_baseline,0.0,year +2020,1|Eastern,urban_connection_rate_baseline,0.545,year +2020,20|Northern,urban_connection_rate_baseline,0.0,year +2020,21|Eastern,urban_connection_rate_baseline,0.523,year +2020,22|Southern,urban_connection_rate_baseline,0.522,year +2020,23|Muchinga,urban_connection_rate_baseline,0.673,year +2020,24|Central,urban_connection_rate_baseline,0.516,year +2020,2|Central,urban_connection_rate_baseline,0.785,year +2020,3|Lusaka,urban_connection_rate_baseline,0.599,year +2020,4|Central,urban_connection_rate_baseline,0.616,year +2020,5|Copperbelt,urban_connection_rate_baseline,0.805,year +2020,6|Lusaka,urban_connection_rate_baseline,0.0,year +2020,7|Lusaka,urban_connection_rate_baseline,0.578,year +2020,8|North-Western,urban_connection_rate_baseline,0.824,year +2020,9|Western,urban_connection_rate_baseline,0.685,year +2025,10|Lusaka,urban_connection_rate_baseline,0.666,year +2025,11|Southern,urban_connection_rate_baseline,0.6234999999999999,year +2025,12|Western,urban_connection_rate_baseline,0.0,year +2025,13|North-Western,urban_connection_rate_baseline,0.5735,year +2025,14|Southern,urban_connection_rate_baseline,0.0,year +2025,15|Luapula,urban_connection_rate_baseline,0.5575,year +2025,16|Muchinga,urban_connection_rate_baseline,0.6154999999999999,year +2025,17|Northern,urban_connection_rate_baseline,0.6065,year +2025,18|Northern,urban_connection_rate_baseline,0.347,year +2025,19|Central,urban_connection_rate_baseline,0.0,year +2025,1|Eastern,urban_connection_rate_baseline,0.6255,year +2025,20|Northern,urban_connection_rate_baseline,0.0,year +2025,21|Eastern,urban_connection_rate_baseline,0.6105,year +2025,22|Southern,urban_connection_rate_baseline,0.6094999999999999,year +2025,23|Muchinga,urban_connection_rate_baseline,0.702,year +2025,24|Central,urban_connection_rate_baseline,0.6045,year +2025,2|Central,urban_connection_rate_baseline,0.8200000000000001,year +2025,3|Lusaka,urban_connection_rate_baseline,0.6695,year +2025,4|Central,urban_connection_rate_baseline,0.681,year +2025,5|Copperbelt,urban_connection_rate_baseline,0.8315,year +2025,6|Lusaka,urban_connection_rate_baseline,0.0,year +2025,7|Lusaka,urban_connection_rate_baseline,0.6525,year +2025,8|North-Western,urban_connection_rate_baseline,0.796,year +2025,9|Western,urban_connection_rate_baseline,0.7435,year +2030,10|Lusaka,urban_connection_rate_baseline,0.672,year +2030,11|Southern,urban_connection_rate_baseline,0.701,year +2030,12|Western,urban_connection_rate_baseline,0.0,year +2030,13|North-Western,urban_connection_rate_baseline,0.67,year +2030,14|Southern,urban_connection_rate_baseline,0.0,year +2030,15|Luapula,urban_connection_rate_baseline,0.664,year +2030,16|Muchinga,urban_connection_rate_baseline,0.7,year +2030,17|Northern,urban_connection_rate_baseline,0.697,year +2030,18|Northern,urban_connection_rate_baseline,0.694,year +2030,19|Central,urban_connection_rate_baseline,0.0,year +2030,1|Eastern,urban_connection_rate_baseline,0.706,year +2030,20|Northern,urban_connection_rate_baseline,0.0,year +2030,21|Eastern,urban_connection_rate_baseline,0.698,year +2030,22|Southern,urban_connection_rate_baseline,0.697,year +2030,23|Muchinga,urban_connection_rate_baseline,0.731,year +2030,24|Central,urban_connection_rate_baseline,0.693,year +2030,2|Central,urban_connection_rate_baseline,0.855,year +2030,3|Lusaka,urban_connection_rate_baseline,0.74,year +2030,4|Central,urban_connection_rate_baseline,0.746,year +2030,5|Copperbelt,urban_connection_rate_baseline,0.858,year +2030,6|Lusaka,urban_connection_rate_baseline,0.0,year +2030,7|Lusaka,urban_connection_rate_baseline,0.727,year +2030,8|North-Western,urban_connection_rate_baseline,0.768,year +2030,9|Western,urban_connection_rate_baseline,0.802,year +2035,10|Lusaka,urban_connection_rate_baseline,0.726,year +2035,11|Southern,urban_connection_rate_baseline,0.758,year +2035,12|Western,urban_connection_rate_baseline,0.0,year +2035,13|North-Western,urban_connection_rate_baseline,0.738,year +2035,14|Southern,urban_connection_rate_baseline,0.0,year +2035,15|Luapula,urban_connection_rate_baseline,0.7335,year +2035,16|Muchinga,urban_connection_rate_baseline,0.7649999999999999,year +2035,17|Northern,urban_connection_rate_baseline,0.7595,year +2035,18|Northern,urban_connection_rate_baseline,0.7569999999999999,year +2035,19|Central,urban_connection_rate_baseline,0.0,year +2035,1|Eastern,urban_connection_rate_baseline,0.7669999999999999,year +2035,20|Northern,urban_connection_rate_baseline,0.0,year +2035,21|Eastern,urban_connection_rate_baseline,0.7605,year +2035,22|Southern,urban_connection_rate_baseline,0.7595,year +2035,23|Muchinga,urban_connection_rate_baseline,0.778,year +2035,24|Central,urban_connection_rate_baseline,0.758,year +2035,2|Central,urban_connection_rate_baseline,0.8845000000000001,year +2035,3|Lusaka,urban_connection_rate_baseline,0.7975,year +2035,4|Central,urban_connection_rate_baseline,0.798,year +2035,5|Copperbelt,urban_connection_rate_baseline,0.8875,year +2035,6|Lusaka,urban_connection_rate_baseline,0.4095,year +2035,7|Lusaka,urban_connection_rate_baseline,0.7915,year +2035,8|North-Western,urban_connection_rate_baseline,0.7995,year +2035,9|Western,urban_connection_rate_baseline,0.8420000000000001,year +2040,10|Lusaka,urban_connection_rate_baseline,0.78,year +2040,11|Southern,urban_connection_rate_baseline,0.815,year +2040,12|Western,urban_connection_rate_baseline,0.0,year +2040,13|North-Western,urban_connection_rate_baseline,0.806,year +2040,14|Southern,urban_connection_rate_baseline,0.0,year +2040,15|Luapula,urban_connection_rate_baseline,0.803,year +2040,16|Muchinga,urban_connection_rate_baseline,0.83,year +2040,17|Northern,urban_connection_rate_baseline,0.822,year +2040,18|Northern,urban_connection_rate_baseline,0.82,year +2040,19|Central,urban_connection_rate_baseline,0.0,year +2040,1|Eastern,urban_connection_rate_baseline,0.828,year +2040,20|Northern,urban_connection_rate_baseline,0.0,year +2040,21|Eastern,urban_connection_rate_baseline,0.823,year +2040,22|Southern,urban_connection_rate_baseline,0.822,year +2040,23|Muchinga,urban_connection_rate_baseline,0.825,year +2040,24|Central,urban_connection_rate_baseline,0.823,year +2040,2|Central,urban_connection_rate_baseline,0.914,year +2040,3|Lusaka,urban_connection_rate_baseline,0.855,year +2040,4|Central,urban_connection_rate_baseline,0.85,year +2040,5|Copperbelt,urban_connection_rate_baseline,0.917,year +2040,6|Lusaka,urban_connection_rate_baseline,0.819,year +2040,7|Lusaka,urban_connection_rate_baseline,0.856,year +2040,8|North-Western,urban_connection_rate_baseline,0.831,year +2040,9|Western,urban_connection_rate_baseline,0.882,year +2045,10|Lusaka,urban_connection_rate_baseline,0.8260000000000001,year +2045,11|Southern,urban_connection_rate_baseline,0.8514999999999999,year +2045,12|Western,urban_connection_rate_baseline,0.0,year +2045,13|North-Western,urban_connection_rate_baseline,0.8465,year +2045,14|Southern,urban_connection_rate_baseline,0.0,year +2045,15|Luapula,urban_connection_rate_baseline,0.8435,year +2045,16|Muchinga,urban_connection_rate_baseline,0.8714999999999999,year +2045,17|Northern,urban_connection_rate_baseline,0.859,year +2045,18|Northern,urban_connection_rate_baseline,0.858,year +2045,19|Central,urban_connection_rate_baseline,0.0,year +2045,1|Eastern,urban_connection_rate_baseline,0.8654999999999999,year +2045,20|Northern,urban_connection_rate_baseline,0.4505,year +2045,21|Eastern,urban_connection_rate_baseline,0.86,year +2045,22|Southern,urban_connection_rate_baseline,0.859,year +2045,23|Muchinga,urban_connection_rate_baseline,0.867,year +2045,24|Central,urban_connection_rate_baseline,0.86,year +2045,2|Central,urban_connection_rate_baseline,0.9325,year +2045,3|Lusaka,urban_connection_rate_baseline,0.8855,year +2045,4|Central,urban_connection_rate_baseline,0.8805000000000001,year +2045,5|Copperbelt,urban_connection_rate_baseline,0.9355,year +2045,6|Lusaka,urban_connection_rate_baseline,0.8565,year +2045,7|Lusaka,urban_connection_rate_baseline,0.8865000000000001,year +2045,8|North-Western,urban_connection_rate_baseline,0.877,year +2045,9|Western,urban_connection_rate_baseline,0.8905000000000001,year +2050,10|Lusaka,urban_connection_rate_baseline,0.872,year +2050,11|Southern,urban_connection_rate_baseline,0.888,year +2050,12|Western,urban_connection_rate_baseline,0.0,year +2050,13|North-Western,urban_connection_rate_baseline,0.887,year +2050,14|Southern,urban_connection_rate_baseline,0.0,year +2050,15|Luapula,urban_connection_rate_baseline,0.884,year +2050,16|Muchinga,urban_connection_rate_baseline,0.913,year +2050,17|Northern,urban_connection_rate_baseline,0.896,year +2050,18|Northern,urban_connection_rate_baseline,0.896,year +2050,19|Central,urban_connection_rate_baseline,0.0,year +2050,1|Eastern,urban_connection_rate_baseline,0.903,year +2050,20|Northern,urban_connection_rate_baseline,0.901,year +2050,21|Eastern,urban_connection_rate_baseline,0.897,year +2050,22|Southern,urban_connection_rate_baseline,0.896,year +2050,23|Muchinga,urban_connection_rate_baseline,0.909,year +2050,24|Central,urban_connection_rate_baseline,0.897,year +2050,2|Central,urban_connection_rate_baseline,0.951,year +2050,3|Lusaka,urban_connection_rate_baseline,0.916,year +2050,4|Central,urban_connection_rate_baseline,0.911,year +2050,5|Copperbelt,urban_connection_rate_baseline,0.954,year +2050,6|Lusaka,urban_connection_rate_baseline,0.894,year +2050,7|Lusaka,urban_connection_rate_baseline,0.917,year +2050,8|North-Western,urban_connection_rate_baseline,0.923,year +2050,9|Western,urban_connection_rate_baseline,0.899,year +2055,10|Lusaka,urban_connection_rate_baseline,0.903,year +2055,11|Southern,urban_connection_rate_baseline,0.9115,year +2055,12|Western,urban_connection_rate_baseline,0.484,year +2055,13|North-Western,urban_connection_rate_baseline,0.9045000000000001,year +2055,14|Southern,urban_connection_rate_baseline,0.484,year +2055,15|Luapula,urban_connection_rate_baseline,0.9075,year +2055,16|Muchinga,urban_connection_rate_baseline,0.9279999999999999,year +2055,17|Northern,urban_connection_rate_baseline,0.917,year +2055,18|Northern,urban_connection_rate_baseline,0.9175,year +2055,19|Central,urban_connection_rate_baseline,0.0,year +2055,1|Eastern,urban_connection_rate_baseline,0.9245,year +2055,20|Northern,urban_connection_rate_baseline,0.9215,year +2055,21|Eastern,urban_connection_rate_baseline,0.9179999999999999,year +2055,22|Southern,urban_connection_rate_baseline,0.917,year +2055,23|Muchinga,urban_connection_rate_baseline,0.9259999999999999,year +2055,24|Central,urban_connection_rate_baseline,0.9175,year +2055,2|Central,urban_connection_rate_baseline,0.961,year +2055,3|Lusaka,urban_connection_rate_baseline,0.9335,year +2055,4|Central,urban_connection_rate_baseline,0.929,year +2055,5|Copperbelt,urban_connection_rate_baseline,0.9635,year +2055,6|Lusaka,urban_connection_rate_baseline,0.9155,year +2055,7|Lusaka,urban_connection_rate_baseline,0.9339999999999999,year +2055,8|North-Western,urban_connection_rate_baseline,0.9430000000000001,year +2055,9|Western,urban_connection_rate_baseline,0.9195,year +2060,10|Lusaka,urban_connection_rate_baseline,0.934,year +2060,11|Southern,urban_connection_rate_baseline,0.935,year +2060,12|Western,urban_connection_rate_baseline,0.968,year +2060,13|North-Western,urban_connection_rate_baseline,0.922,year +2060,14|Southern,urban_connection_rate_baseline,0.968,year +2060,15|Luapula,urban_connection_rate_baseline,0.931,year +2060,16|Muchinga,urban_connection_rate_baseline,0.943,year +2060,17|Northern,urban_connection_rate_baseline,0.938,year +2060,18|Northern,urban_connection_rate_baseline,0.939,year +2060,19|Central,urban_connection_rate_baseline,0.0,year +2060,1|Eastern,urban_connection_rate_baseline,0.946,year +2060,20|Northern,urban_connection_rate_baseline,0.942,year +2060,21|Eastern,urban_connection_rate_baseline,0.939,year +2060,22|Southern,urban_connection_rate_baseline,0.938,year +2060,23|Muchinga,urban_connection_rate_baseline,0.943,year +2060,24|Central,urban_connection_rate_baseline,0.938,year +2060,2|Central,urban_connection_rate_baseline,0.971,year +2060,3|Lusaka,urban_connection_rate_baseline,0.951,year +2060,4|Central,urban_connection_rate_baseline,0.947,year +2060,5|Copperbelt,urban_connection_rate_baseline,0.973,year +2060,6|Lusaka,urban_connection_rate_baseline,0.937,year +2060,7|Lusaka,urban_connection_rate_baseline,0.951,year +2060,8|North-Western,urban_connection_rate_baseline,0.963,year +2060,9|Western,urban_connection_rate_baseline,0.94,year +2070,10|Lusaka,urban_connection_rate_baseline,0.964,year +2070,11|Southern,urban_connection_rate_baseline,0.964,year +2070,12|Western,urban_connection_rate_baseline,0.981,year +2070,13|North-Western,urban_connection_rate_baseline,0.956,year +2070,14|Southern,urban_connection_rate_baseline,0.981,year +2070,15|Luapula,urban_connection_rate_baseline,0.959,year +2070,16|Muchinga,urban_connection_rate_baseline,0.965,year +2070,17|Northern,urban_connection_rate_baseline,0.963,year +2070,18|Northern,urban_connection_rate_baseline,0.963,year +2070,19|Central,urban_connection_rate_baseline,0.0,year +2070,1|Eastern,urban_connection_rate_baseline,0.97,year +2070,20|Northern,urban_connection_rate_baseline,0.966,year +2070,21|Eastern,urban_connection_rate_baseline,0.964,year +2070,22|Southern,urban_connection_rate_baseline,0.963,year +2070,23|Muchinga,urban_connection_rate_baseline,0.966,year +2070,24|Central,urban_connection_rate_baseline,0.963,year +2070,2|Central,urban_connection_rate_baseline,0.983,year +2070,3|Lusaka,urban_connection_rate_baseline,0.971,year +2070,4|Central,urban_connection_rate_baseline,0.968,year +2070,5|Copperbelt,urban_connection_rate_baseline,0.984,year +2070,6|Lusaka,urban_connection_rate_baseline,0.962,year +2070,7|Lusaka,urban_connection_rate_baseline,0.971,year +2070,8|North-Western,urban_connection_rate_baseline,0.98,year +2070,9|Western,urban_connection_rate_baseline,0.964,year +2080,10|Lusaka,urban_connection_rate_baseline,0.979,year +2080,11|Southern,urban_connection_rate_baseline,0.979,year +2080,12|Western,urban_connection_rate_baseline,0.987,year +2080,13|North-Western,urban_connection_rate_baseline,0.972,year +2080,14|Southern,urban_connection_rate_baseline,0.988,year +2080,15|Luapula,urban_connection_rate_baseline,0.976,year +2080,16|Muchinga,urban_connection_rate_baseline,0.979,year +2080,17|Northern,urban_connection_rate_baseline,0.978,year +2080,18|Northern,urban_connection_rate_baseline,0.978,year +2080,19|Central,urban_connection_rate_baseline,0.0,year +2080,1|Eastern,urban_connection_rate_baseline,0.983,year +2080,20|Northern,urban_connection_rate_baseline,0.979,year +2080,21|Eastern,urban_connection_rate_baseline,0.978,year +2080,22|Southern,urban_connection_rate_baseline,0.978,year +2080,23|Muchinga,urban_connection_rate_baseline,0.98,year +2080,24|Central,urban_connection_rate_baseline,0.978,year +2080,2|Central,urban_connection_rate_baseline,0.99,year +2080,3|Lusaka,urban_connection_rate_baseline,0.983,year +2080,4|Central,urban_connection_rate_baseline,0.981,year +2080,5|Copperbelt,urban_connection_rate_baseline,0.99,year +2080,6|Lusaka,urban_connection_rate_baseline,0.977,year +2080,7|Lusaka,urban_connection_rate_baseline,0.983,year +2080,8|North-Western,urban_connection_rate_baseline,0.988,year +2080,9|Western,urban_connection_rate_baseline,0.978,year +2090,10|Lusaka,urban_connection_rate_baseline,0.987,year +2090,11|Southern,urban_connection_rate_baseline,0.987,year +2090,12|Western,urban_connection_rate_baseline,0.992,year +2090,13|North-Western,urban_connection_rate_baseline,0.983,year +2090,14|Southern,urban_connection_rate_baseline,0.993,year +2090,15|Luapula,urban_connection_rate_baseline,0.986,year +2090,16|Muchinga,urban_connection_rate_baseline,0.987,year +2090,17|Northern,urban_connection_rate_baseline,0.987,year +2090,18|Northern,urban_connection_rate_baseline,0.987,year +2090,19|Central,urban_connection_rate_baseline,0.0,year +2090,1|Eastern,urban_connection_rate_baseline,0.99,year +2090,20|Northern,urban_connection_rate_baseline,0.988,year +2090,21|Eastern,urban_connection_rate_baseline,0.987,year +2090,22|Southern,urban_connection_rate_baseline,0.987,year +2090,23|Muchinga,urban_connection_rate_baseline,0.988,year +2090,24|Central,urban_connection_rate_baseline,0.987,year +2090,2|Central,urban_connection_rate_baseline,0.994,year +2090,3|Lusaka,urban_connection_rate_baseline,0.99,year +2090,4|Central,urban_connection_rate_baseline,0.988,year +2090,5|Copperbelt,urban_connection_rate_baseline,0.994,year +2090,6|Lusaka,urban_connection_rate_baseline,0.986,year +2090,7|Lusaka,urban_connection_rate_baseline,0.99,year +2090,8|North-Western,urban_connection_rate_baseline,0.993,year +2090,9|Western,urban_connection_rate_baseline,0.987,year +2100,10|Lusaka,urban_connection_rate_baseline,0.99,year +2100,11|Southern,urban_connection_rate_baseline,0.99,year +2100,12|Western,urban_connection_rate_baseline,0.99,year +2100,13|North-Western,urban_connection_rate_baseline,0.99,year +2100,14|Southern,urban_connection_rate_baseline,0.99,year +2100,15|Luapula,urban_connection_rate_baseline,0.99,year +2100,16|Muchinga,urban_connection_rate_baseline,0.99,year +2100,17|Northern,urban_connection_rate_baseline,0.99,year +2100,18|Northern,urban_connection_rate_baseline,0.99,year +2100,19|Central,urban_connection_rate_baseline,0.0,year +2100,1|Eastern,urban_connection_rate_baseline,0.99,year +2100,20|Northern,urban_connection_rate_baseline,0.99,year +2100,21|Eastern,urban_connection_rate_baseline,0.99,year +2100,22|Southern,urban_connection_rate_baseline,0.99,year +2100,23|Muchinga,urban_connection_rate_baseline,0.99,year +2100,24|Central,urban_connection_rate_baseline,0.99,year +2100,2|Central,urban_connection_rate_baseline,0.99,year +2100,3|Lusaka,urban_connection_rate_baseline,0.99,year +2100,4|Central,urban_connection_rate_baseline,0.99,year +2100,5|Copperbelt,urban_connection_rate_baseline,0.99,year +2100,6|Lusaka,urban_connection_rate_baseline,0.99,year +2100,7|Lusaka,urban_connection_rate_baseline,0.99,year +2100,8|North-Western,urban_connection_rate_baseline,0.99,year +2100,9|Western,urban_connection_rate_baseline,0.99,year +2110,10|Lusaka,urban_connection_rate_baseline,0.99,year +2110,11|Southern,urban_connection_rate_baseline,0.99,year +2110,12|Western,urban_connection_rate_baseline,0.99,year +2110,13|North-Western,urban_connection_rate_baseline,0.99,year +2110,14|Southern,urban_connection_rate_baseline,0.99,year +2110,15|Luapula,urban_connection_rate_baseline,0.99,year +2110,16|Muchinga,urban_connection_rate_baseline,0.99,year +2110,17|Northern,urban_connection_rate_baseline,0.99,year +2110,18|Northern,urban_connection_rate_baseline,0.99,year +2110,19|Central,urban_connection_rate_baseline,0.0,year +2110,1|Eastern,urban_connection_rate_baseline,0.99,year +2110,20|Northern,urban_connection_rate_baseline,0.99,year +2110,21|Eastern,urban_connection_rate_baseline,0.99,year +2110,22|Southern,urban_connection_rate_baseline,0.99,year +2110,23|Muchinga,urban_connection_rate_baseline,0.99,year +2110,24|Central,urban_connection_rate_baseline,0.99,year +2110,2|Central,urban_connection_rate_baseline,0.99,year +2110,3|Lusaka,urban_connection_rate_baseline,0.99,year +2110,4|Central,urban_connection_rate_baseline,0.99,year +2110,5|Copperbelt,urban_connection_rate_baseline,0.99,year +2110,6|Lusaka,urban_connection_rate_baseline,0.99,year +2110,7|Lusaka,urban_connection_rate_baseline,0.99,year +2110,8|North-Western,urban_connection_rate_baseline,0.99,year +2110,9|Western,urban_connection_rate_baseline,0.99,year +2010,10|Lusaka,rural_connection_rate_baseline,0.527,year +2010,11|Southern,rural_connection_rate_baseline,0.525,year +2010,12|Western,rural_connection_rate_baseline,0.495,year +2010,13|North-Western,rural_connection_rate_baseline,0.444,year +2010,14|Southern,rural_connection_rate_baseline,0.494,year +2010,15|Luapula,rural_connection_rate_baseline,0.462,year +2010,16|Muchinga,rural_connection_rate_baseline,0.515,year +2010,17|Northern,rural_connection_rate_baseline,0.485,year +2010,18|Northern,rural_connection_rate_baseline,0.494,year +2010,19|Central,rural_connection_rate_baseline,0.456,year +2010,1|Eastern,rural_connection_rate_baseline,0.647,year +2010,20|Northern,rural_connection_rate_baseline,0.527,year +2010,21|Eastern,rural_connection_rate_baseline,0.624,year +2010,22|Southern,rural_connection_rate_baseline,0.494,year +2010,23|Muchinga,rural_connection_rate_baseline,0.634,year +2010,24|Central,rural_connection_rate_baseline,0.494,year +2010,2|Central,rural_connection_rate_baseline,0.679,year +2010,3|Lusaka,rural_connection_rate_baseline,0.653,year +2010,4|Central,rural_connection_rate_baseline,0.512,year +2010,5|Copperbelt,rural_connection_rate_baseline,0.613,year +2010,6|Lusaka,rural_connection_rate_baseline,0.486,year +2010,7|Lusaka,rural_connection_rate_baseline,0.585,year +2010,8|North-Western,rural_connection_rate_baseline,0.539,year +2010,9|Western,rural_connection_rate_baseline,0.494,year +2015,10|Lusaka,rural_connection_rate_baseline,0.5405,year +2015,11|Southern,rural_connection_rate_baseline,0.5415000000000001,year +2015,12|Western,rural_connection_rate_baseline,0.507,year +2015,13|North-Western,rural_connection_rate_baseline,0.4555,year +2015,14|Southern,rural_connection_rate_baseline,0.507,year +2015,15|Luapula,rural_connection_rate_baseline,0.47450000000000003,year +2015,16|Muchinga,rural_connection_rate_baseline,0.5285,year +2015,17|Northern,rural_connection_rate_baseline,0.498,year +2015,18|Northern,rural_connection_rate_baseline,0.507,year +2015,19|Central,rural_connection_rate_baseline,0.46799999999999997,year +2015,1|Eastern,rural_connection_rate_baseline,0.7035,year +2015,20|Northern,rural_connection_rate_baseline,0.541,year +2015,21|Eastern,rural_connection_rate_baseline,0.652,year +2015,22|Southern,rural_connection_rate_baseline,0.506,year +2015,23|Muchinga,rural_connection_rate_baseline,0.6525000000000001,year +2015,24|Central,rural_connection_rate_baseline,0.507,year +2015,2|Central,rural_connection_rate_baseline,0.6970000000000001,year +2015,3|Lusaka,rural_connection_rate_baseline,0.667,year +2015,4|Central,rural_connection_rate_baseline,0.5255000000000001,year +2015,5|Copperbelt,rural_connection_rate_baseline,0.628,year +2015,6|Lusaka,rural_connection_rate_baseline,0.499,year +2015,7|Lusaka,rural_connection_rate_baseline,0.6145,year +2015,8|North-Western,rural_connection_rate_baseline,0.5525,year +2015,9|Western,rural_connection_rate_baseline,0.507,year +2020,10|Lusaka,rural_connection_rate_baseline,0.554,year +2020,11|Southern,rural_connection_rate_baseline,0.558,year +2020,12|Western,rural_connection_rate_baseline,0.519,year +2020,13|North-Western,rural_connection_rate_baseline,0.467,year +2020,14|Southern,rural_connection_rate_baseline,0.52,year +2020,15|Luapula,rural_connection_rate_baseline,0.487,year +2020,16|Muchinga,rural_connection_rate_baseline,0.542,year +2020,17|Northern,rural_connection_rate_baseline,0.511,year +2020,18|Northern,rural_connection_rate_baseline,0.52,year +2020,19|Central,rural_connection_rate_baseline,0.48,year +2020,1|Eastern,rural_connection_rate_baseline,0.76,year +2020,20|Northern,rural_connection_rate_baseline,0.555,year +2020,21|Eastern,rural_connection_rate_baseline,0.68,year +2020,22|Southern,rural_connection_rate_baseline,0.518,year +2020,23|Muchinga,rural_connection_rate_baseline,0.671,year +2020,24|Central,rural_connection_rate_baseline,0.52,year +2020,2|Central,rural_connection_rate_baseline,0.715,year +2020,3|Lusaka,rural_connection_rate_baseline,0.681,year +2020,4|Central,rural_connection_rate_baseline,0.539,year +2020,5|Copperbelt,rural_connection_rate_baseline,0.643,year +2020,6|Lusaka,rural_connection_rate_baseline,0.512,year +2020,7|Lusaka,rural_connection_rate_baseline,0.644,year +2020,8|North-Western,rural_connection_rate_baseline,0.566,year +2020,9|Western,rural_connection_rate_baseline,0.52,year +2025,10|Lusaka,rural_connection_rate_baseline,0.5715,year +2025,11|Southern,rural_connection_rate_baseline,0.5880000000000001,year +2025,12|Western,rural_connection_rate_baseline,0.562,year +2025,13|North-Western,rural_connection_rate_baseline,0.519,year +2025,14|Southern,rural_connection_rate_baseline,0.5665,year +2025,15|Luapula,rural_connection_rate_baseline,0.534,year +2025,16|Muchinga,rural_connection_rate_baseline,0.5860000000000001,year +2025,17|Northern,rural_connection_rate_baseline,0.5575,year +2025,18|Northern,rural_connection_rate_baseline,0.5715,year +2025,19|Central,rural_connection_rate_baseline,0.5295,year +2025,1|Eastern,rural_connection_rate_baseline,0.747,year +2025,20|Northern,rural_connection_rate_baseline,0.605,year +2025,21|Eastern,rural_connection_rate_baseline,0.6925,year +2025,22|Southern,rural_connection_rate_baseline,0.5645,year +2025,23|Muchinga,rural_connection_rate_baseline,0.679,year +2025,24|Central,rural_connection_rate_baseline,0.567,year +2025,2|Central,rural_connection_rate_baseline,0.7224999999999999,year +2025,3|Lusaka,rural_connection_rate_baseline,0.6875,year +2025,4|Central,rural_connection_rate_baseline,0.5795,year +2025,5|Copperbelt,rural_connection_rate_baseline,0.664,year +2025,6|Lusaka,rural_connection_rate_baseline,0.5595,year +2025,7|Lusaka,rural_connection_rate_baseline,0.677,year +2025,8|North-Western,rural_connection_rate_baseline,0.5914999999999999,year +2025,9|Western,rural_connection_rate_baseline,0.569,year +2030,10|Lusaka,rural_connection_rate_baseline,0.589,year +2030,11|Southern,rural_connection_rate_baseline,0.618,year +2030,12|Western,rural_connection_rate_baseline,0.605,year +2030,13|North-Western,rural_connection_rate_baseline,0.571,year +2030,14|Southern,rural_connection_rate_baseline,0.613,year +2030,15|Luapula,rural_connection_rate_baseline,0.581,year +2030,16|Muchinga,rural_connection_rate_baseline,0.63,year +2030,17|Northern,rural_connection_rate_baseline,0.604,year +2030,18|Northern,rural_connection_rate_baseline,0.623,year +2030,19|Central,rural_connection_rate_baseline,0.579,year +2030,1|Eastern,rural_connection_rate_baseline,0.734,year +2030,20|Northern,rural_connection_rate_baseline,0.655,year +2030,21|Eastern,rural_connection_rate_baseline,0.705,year +2030,22|Southern,rural_connection_rate_baseline,0.611,year +2030,23|Muchinga,rural_connection_rate_baseline,0.687,year +2030,24|Central,rural_connection_rate_baseline,0.614,year +2030,2|Central,rural_connection_rate_baseline,0.73,year +2030,3|Lusaka,rural_connection_rate_baseline,0.694,year +2030,4|Central,rural_connection_rate_baseline,0.62,year +2030,5|Copperbelt,rural_connection_rate_baseline,0.685,year +2030,6|Lusaka,rural_connection_rate_baseline,0.607,year +2030,7|Lusaka,rural_connection_rate_baseline,0.71,year +2030,8|North-Western,rural_connection_rate_baseline,0.617,year +2030,9|Western,rural_connection_rate_baseline,0.618,year +2035,10|Lusaka,rural_connection_rate_baseline,0.63,year +2035,11|Southern,rural_connection_rate_baseline,0.6659999999999999,year +2035,12|Western,rural_connection_rate_baseline,0.6495,year +2035,13|North-Western,rural_connection_rate_baseline,0.6299999999999999,year +2035,14|Southern,rural_connection_rate_baseline,0.671,year +2035,15|Luapula,rural_connection_rate_baseline,0.6395,year +2035,16|Muchinga,rural_connection_rate_baseline,0.6859999999999999,year +2035,17|Northern,rural_connection_rate_baseline,0.6619999999999999,year +2035,18|Northern,rural_connection_rate_baseline,0.6845,year +2035,19|Central,rural_connection_rate_baseline,0.639,year +2035,1|Eastern,rural_connection_rate_baseline,0.75,year +2035,20|Northern,rural_connection_rate_baseline,0.7155,year +2035,21|Eastern,rural_connection_rate_baseline,0.733,year +2035,22|Southern,rural_connection_rate_baseline,0.6695,year +2035,23|Muchinga,rural_connection_rate_baseline,0.7190000000000001,year +2035,24|Central,rural_connection_rate_baseline,0.6705,year +2035,2|Central,rural_connection_rate_baseline,0.7424999999999999,year +2035,3|Lusaka,rural_connection_rate_baseline,0.7215,year +2035,4|Central,rural_connection_rate_baseline,0.6725,year +2035,5|Copperbelt,rural_connection_rate_baseline,0.7250000000000001,year +2035,6|Lusaka,rural_connection_rate_baseline,0.665,year +2035,7|Lusaka,rural_connection_rate_baseline,0.7315,year +2035,8|North-Western,rural_connection_rate_baseline,0.6625,year +2035,9|Western,rural_connection_rate_baseline,0.6755,year +2040,10|Lusaka,rural_connection_rate_baseline,0.671,year +2040,11|Southern,rural_connection_rate_baseline,0.714,year +2040,12|Western,rural_connection_rate_baseline,0.694,year +2040,13|North-Western,rural_connection_rate_baseline,0.689,year +2040,14|Southern,rural_connection_rate_baseline,0.729,year +2040,15|Luapula,rural_connection_rate_baseline,0.698,year +2040,16|Muchinga,rural_connection_rate_baseline,0.742,year +2040,17|Northern,rural_connection_rate_baseline,0.72,year +2040,18|Northern,rural_connection_rate_baseline,0.746,year +2040,19|Central,rural_connection_rate_baseline,0.699,year +2040,1|Eastern,rural_connection_rate_baseline,0.766,year +2040,20|Northern,rural_connection_rate_baseline,0.776,year +2040,21|Eastern,rural_connection_rate_baseline,0.761,year +2040,22|Southern,rural_connection_rate_baseline,0.728,year +2040,23|Muchinga,rural_connection_rate_baseline,0.751,year +2040,24|Central,rural_connection_rate_baseline,0.727,year +2040,2|Central,rural_connection_rate_baseline,0.755,year +2040,3|Lusaka,rural_connection_rate_baseline,0.749,year +2040,4|Central,rural_connection_rate_baseline,0.725,year +2040,5|Copperbelt,rural_connection_rate_baseline,0.765,year +2040,6|Lusaka,rural_connection_rate_baseline,0.723,year +2040,7|Lusaka,rural_connection_rate_baseline,0.753,year +2040,8|North-Western,rural_connection_rate_baseline,0.708,year +2040,9|Western,rural_connection_rate_baseline,0.733,year +2045,10|Lusaka,rural_connection_rate_baseline,0.7330000000000001,year +2045,11|Southern,rural_connection_rate_baseline,0.7675,year +2045,12|Western,rural_connection_rate_baseline,0.738,year +2045,13|North-Western,rural_connection_rate_baseline,0.75,year +2045,14|Southern,rural_connection_rate_baseline,0.786,year +2045,15|Luapula,rural_connection_rate_baseline,0.7585,year +2045,16|Muchinga,rural_connection_rate_baseline,0.7955,year +2045,17|Northern,rural_connection_rate_baseline,0.7785,year +2045,18|Northern,rural_connection_rate_baseline,0.8009999999999999,year +2045,19|Central,rural_connection_rate_baseline,0.7605,year +2045,1|Eastern,rural_connection_rate_baseline,0.8055,year +2045,20|Northern,rural_connection_rate_baseline,0.8265,year +2045,21|Eastern,rural_connection_rate_baseline,0.8029999999999999,year +2045,22|Southern,rural_connection_rate_baseline,0.7855,year +2045,23|Muchinga,rural_connection_rate_baseline,0.7965,year +2045,24|Central,rural_connection_rate_baseline,0.7845,year +2045,2|Central,rural_connection_rate_baseline,0.7985,year +2045,3|Lusaka,rural_connection_rate_baseline,0.7935,year +2045,4|Central,rural_connection_rate_baseline,0.782,year +2045,5|Copperbelt,rural_connection_rate_baseline,0.813,year +2045,6|Lusaka,rural_connection_rate_baseline,0.7809999999999999,year +2045,7|Lusaka,rural_connection_rate_baseline,0.8049999999999999,year +2045,8|North-Western,rural_connection_rate_baseline,0.7645,year +2045,9|Western,rural_connection_rate_baseline,0.7889999999999999,year +2050,10|Lusaka,rural_connection_rate_baseline,0.795,year +2050,11|Southern,rural_connection_rate_baseline,0.821,year +2050,12|Western,rural_connection_rate_baseline,0.782,year +2050,13|North-Western,rural_connection_rate_baseline,0.811,year +2050,14|Southern,rural_connection_rate_baseline,0.843,year +2050,15|Luapula,rural_connection_rate_baseline,0.819,year +2050,16|Muchinga,rural_connection_rate_baseline,0.849,year +2050,17|Northern,rural_connection_rate_baseline,0.837,year +2050,18|Northern,rural_connection_rate_baseline,0.856,year +2050,19|Central,rural_connection_rate_baseline,0.822,year +2050,1|Eastern,rural_connection_rate_baseline,0.845,year +2050,20|Northern,rural_connection_rate_baseline,0.877,year +2050,21|Eastern,rural_connection_rate_baseline,0.845,year +2050,22|Southern,rural_connection_rate_baseline,0.843,year +2050,23|Muchinga,rural_connection_rate_baseline,0.842,year +2050,24|Central,rural_connection_rate_baseline,0.842,year +2050,2|Central,rural_connection_rate_baseline,0.842,year +2050,3|Lusaka,rural_connection_rate_baseline,0.838,year +2050,4|Central,rural_connection_rate_baseline,0.839,year +2050,5|Copperbelt,rural_connection_rate_baseline,0.861,year +2050,6|Lusaka,rural_connection_rate_baseline,0.839,year +2050,7|Lusaka,rural_connection_rate_baseline,0.857,year +2050,8|North-Western,rural_connection_rate_baseline,0.821,year +2050,9|Western,rural_connection_rate_baseline,0.845,year +2055,10|Lusaka,rural_connection_rate_baseline,0.8505,year +2055,11|Southern,rural_connection_rate_baseline,0.863,year +2055,12|Western,rural_connection_rate_baseline,0.817,year +2055,13|North-Western,rural_connection_rate_baseline,0.8585,year +2055,14|Southern,rural_connection_rate_baseline,0.8825000000000001,year +2055,15|Luapula,rural_connection_rate_baseline,0.864,year +2055,16|Muchinga,rural_connection_rate_baseline,0.885,year +2055,17|Northern,rural_connection_rate_baseline,0.8775,year +2055,18|Northern,rural_connection_rate_baseline,0.8915,year +2055,19|Central,rural_connection_rate_baseline,0.866,year +2055,1|Eastern,rural_connection_rate_baseline,0.886,year +2055,20|Northern,rural_connection_rate_baseline,0.9065000000000001,year +2055,21|Eastern,rural_connection_rate_baseline,0.886,year +2055,22|Southern,rural_connection_rate_baseline,0.882,year +2055,23|Muchinga,rural_connection_rate_baseline,0.883,year +2055,24|Central,rural_connection_rate_baseline,0.8815,year +2055,2|Central,rural_connection_rate_baseline,0.8815,year +2055,3|Lusaka,rural_connection_rate_baseline,0.88,year +2055,4|Central,rural_connection_rate_baseline,0.8795,year +2055,5|Copperbelt,rural_connection_rate_baseline,0.8975,year +2055,6|Lusaka,rural_connection_rate_baseline,0.879,year +2055,7|Lusaka,rural_connection_rate_baseline,0.893,year +2055,8|North-Western,rural_connection_rate_baseline,0.873,year +2055,9|Western,rural_connection_rate_baseline,0.883,year +2060,10|Lusaka,rural_connection_rate_baseline,0.906,year +2060,11|Southern,rural_connection_rate_baseline,0.905,year +2060,12|Western,rural_connection_rate_baseline,0.852,year +2060,13|North-Western,rural_connection_rate_baseline,0.906,year +2060,14|Southern,rural_connection_rate_baseline,0.922,year +2060,15|Luapula,rural_connection_rate_baseline,0.909,year +2060,16|Muchinga,rural_connection_rate_baseline,0.921,year +2060,17|Northern,rural_connection_rate_baseline,0.918,year +2060,18|Northern,rural_connection_rate_baseline,0.927,year +2060,19|Central,rural_connection_rate_baseline,0.91,year +2060,1|Eastern,rural_connection_rate_baseline,0.927,year +2060,20|Northern,rural_connection_rate_baseline,0.936,year +2060,21|Eastern,rural_connection_rate_baseline,0.927,year +2060,22|Southern,rural_connection_rate_baseline,0.921,year +2060,23|Muchinga,rural_connection_rate_baseline,0.924,year +2060,24|Central,rural_connection_rate_baseline,0.921,year +2060,2|Central,rural_connection_rate_baseline,0.921,year +2060,3|Lusaka,rural_connection_rate_baseline,0.922,year +2060,4|Central,rural_connection_rate_baseline,0.92,year +2060,5|Copperbelt,rural_connection_rate_baseline,0.934,year +2060,6|Lusaka,rural_connection_rate_baseline,0.919,year +2060,7|Lusaka,rural_connection_rate_baseline,0.929,year +2060,8|North-Western,rural_connection_rate_baseline,0.925,year +2060,9|Western,rural_connection_rate_baseline,0.921,year +2070,10|Lusaka,rural_connection_rate_baseline,0.96,year +2070,11|Southern,rural_connection_rate_baseline,0.953,year +2070,12|Western,rural_connection_rate_baseline,0.9,year +2070,13|North-Western,rural_connection_rate_baseline,0.954,year +2070,14|Southern,rural_connection_rate_baseline,0.96,year +2070,15|Luapula,rural_connection_rate_baseline,0.956,year +2070,16|Muchinga,rural_connection_rate_baseline,0.961,year +2070,17|Northern,rural_connection_rate_baseline,0.958,year +2070,18|Northern,rural_connection_rate_baseline,0.962,year +2070,19|Central,rural_connection_rate_baseline,0.956,year +2070,1|Eastern,rural_connection_rate_baseline,0.974,year +2070,20|Northern,rural_connection_rate_baseline,0.965,year +2070,21|Eastern,rural_connection_rate_baseline,0.974,year +2070,22|Southern,rural_connection_rate_baseline,0.96,year +2070,23|Muchinga,rural_connection_rate_baseline,0.97,year +2070,24|Central,rural_connection_rate_baseline,0.96,year +2070,2|Central,rural_connection_rate_baseline,0.96,year +2070,3|Lusaka,rural_connection_rate_baseline,0.969,year +2070,4|Central,rural_connection_rate_baseline,0.96,year +2070,5|Copperbelt,rural_connection_rate_baseline,0.969,year +2070,6|Lusaka,rural_connection_rate_baseline,0.959,year +2070,7|Lusaka,rural_connection_rate_baseline,0.964,year +2070,8|North-Western,rural_connection_rate_baseline,0.964,year +2070,9|Western,rural_connection_rate_baseline,0.959,year +2080,10|Lusaka,rural_connection_rate_baseline,0.979,year +2080,11|Southern,rural_connection_rate_baseline,0.977,year +2080,12|Western,rural_connection_rate_baseline,0.936,year +2080,13|North-Western,rural_connection_rate_baseline,0.976,year +2080,14|Southern,rural_connection_rate_baseline,0.977,year +2080,15|Luapula,rural_connection_rate_baseline,0.975,year +2080,16|Muchinga,rural_connection_rate_baseline,0.978,year +2080,17|Northern,rural_connection_rate_baseline,0.976,year +2080,18|Northern,rural_connection_rate_baseline,0.978,year +2080,19|Central,rural_connection_rate_baseline,0.976,year +2080,1|Eastern,rural_connection_rate_baseline,0.989,year +2080,20|Northern,rural_connection_rate_baseline,0.979,year +2080,21|Eastern,rural_connection_rate_baseline,0.99,year +2080,22|Southern,rural_connection_rate_baseline,0.977,year +2080,23|Muchinga,rural_connection_rate_baseline,0.986,year +2080,24|Central,rural_connection_rate_baseline,0.977,year +2080,2|Central,rural_connection_rate_baseline,0.977,year +2080,3|Lusaka,rural_connection_rate_baseline,0.986,year +2080,4|Central,rural_connection_rate_baseline,0.978,year +2080,5|Copperbelt,rural_connection_rate_baseline,0.984,year +2080,6|Lusaka,rural_connection_rate_baseline,0.977,year +2080,7|Lusaka,rural_connection_rate_baseline,0.98,year +2080,8|North-Western,rural_connection_rate_baseline,0.981,year +2080,9|Western,rural_connection_rate_baseline,0.977,year +2090,10|Lusaka,rural_connection_rate_baseline,0.987,year +2090,11|Southern,rural_connection_rate_baseline,0.987,year +2090,12|Western,rural_connection_rate_baseline,0.963,year +2090,13|North-Western,rural_connection_rate_baseline,0.986,year +2090,14|Southern,rural_connection_rate_baseline,0.987,year +2090,15|Luapula,rural_connection_rate_baseline,0.986,year +2090,16|Muchinga,rural_connection_rate_baseline,0.987,year +2090,17|Northern,rural_connection_rate_baseline,0.986,year +2090,18|Northern,rural_connection_rate_baseline,0.987,year +2090,19|Central,rural_connection_rate_baseline,0.986,year +2090,1|Eastern,rural_connection_rate_baseline,0.993,year +2090,20|Northern,rural_connection_rate_baseline,0.988,year +2090,21|Eastern,rural_connection_rate_baseline,0.994,year +2090,22|Southern,rural_connection_rate_baseline,0.987,year +2090,23|Muchinga,rural_connection_rate_baseline,0.992,year +2090,24|Central,rural_connection_rate_baseline,0.987,year +2090,2|Central,rural_connection_rate_baseline,0.0,year +2090,3|Lusaka,rural_connection_rate_baseline,0.992,year +2090,4|Central,rural_connection_rate_baseline,0.987,year +2090,5|Copperbelt,rural_connection_rate_baseline,0.991,year +2090,6|Lusaka,rural_connection_rate_baseline,0.986,year +2090,7|Lusaka,rural_connection_rate_baseline,0.988,year +2090,8|North-Western,rural_connection_rate_baseline,0.989,year +2090,9|Western,rural_connection_rate_baseline,0.986,year +2100,10|Lusaka,rural_connection_rate_baseline,0.99,year +2100,11|Southern,rural_connection_rate_baseline,0.99,year +2100,12|Western,rural_connection_rate_baseline,0.99,year +2100,13|North-Western,rural_connection_rate_baseline,0.99,year +2100,14|Southern,rural_connection_rate_baseline,0.99,year +2100,15|Luapula,rural_connection_rate_baseline,0.99,year +2100,16|Muchinga,rural_connection_rate_baseline,0.99,year +2100,17|Northern,rural_connection_rate_baseline,0.99,year +2100,18|Northern,rural_connection_rate_baseline,0.99,year +2100,19|Central,rural_connection_rate_baseline,0.99,year +2100,1|Eastern,rural_connection_rate_baseline,0.99,year +2100,20|Northern,rural_connection_rate_baseline,0.99,year +2100,21|Eastern,rural_connection_rate_baseline,0.99,year +2100,22|Southern,rural_connection_rate_baseline,0.99,year +2100,23|Muchinga,rural_connection_rate_baseline,0.99,year +2100,24|Central,rural_connection_rate_baseline,0.99,year +2100,2|Central,rural_connection_rate_baseline,0.99,year +2100,3|Lusaka,rural_connection_rate_baseline,0.99,year +2100,4|Central,rural_connection_rate_baseline,0.99,year +2100,5|Copperbelt,rural_connection_rate_baseline,0.99,year +2100,6|Lusaka,rural_connection_rate_baseline,0.99,year +2100,7|Lusaka,rural_connection_rate_baseline,0.99,year +2100,8|North-Western,rural_connection_rate_baseline,0.99,year +2100,9|Western,rural_connection_rate_baseline,0.99,year +2110,10|Lusaka,rural_connection_rate_baseline,0.99,year +2110,11|Southern,rural_connection_rate_baseline,0.99,year +2110,12|Western,rural_connection_rate_baseline,0.99,year +2110,13|North-Western,rural_connection_rate_baseline,0.99,year +2110,14|Southern,rural_connection_rate_baseline,0.99,year +2110,15|Luapula,rural_connection_rate_baseline,0.99,year +2110,16|Muchinga,rural_connection_rate_baseline,0.99,year +2110,17|Northern,rural_connection_rate_baseline,0.99,year +2110,18|Northern,rural_connection_rate_baseline,0.99,year +2110,19|Central,rural_connection_rate_baseline,0.99,year +2110,1|Eastern,rural_connection_rate_baseline,0.99,year +2110,20|Northern,rural_connection_rate_baseline,0.99,year +2110,21|Eastern,rural_connection_rate_baseline,0.99,year +2110,22|Southern,rural_connection_rate_baseline,0.99,year +2110,23|Muchinga,rural_connection_rate_baseline,0.99,year +2110,24|Central,rural_connection_rate_baseline,0.99,year +2110,2|Central,rural_connection_rate_baseline,0.99,year +2110,3|Lusaka,rural_connection_rate_baseline,0.99,year +2110,4|Central,rural_connection_rate_baseline,0.99,year +2110,5|Copperbelt,rural_connection_rate_baseline,0.99,year +2110,6|Lusaka,rural_connection_rate_baseline,0.99,year +2110,7|Lusaka,rural_connection_rate_baseline,0.99,year +2110,8|North-Western,rural_connection_rate_baseline,0.99,year +2110,9|Western,rural_connection_rate_baseline,0.99,year +2010,10|Lusaka,urban_treatment_rate_baseline,0.441,year +2010,11|Southern,urban_treatment_rate_baseline,0.288,year +2010,12|Western,urban_treatment_rate_baseline,0.0,year +2010,13|North-Western,urban_treatment_rate_baseline,0.245,year +2010,14|Southern,urban_treatment_rate_baseline,0.0,year +2010,15|Luapula,urban_treatment_rate_baseline,0.26,year +2010,16|Muchinga,urban_treatment_rate_baseline,0.252,year +2010,17|Northern,urban_treatment_rate_baseline,0.241,year +2010,18|Northern,urban_treatment_rate_baseline,0.0,year +2010,19|Central,urban_treatment_rate_baseline,0.0,year +2010,1|Eastern,urban_treatment_rate_baseline,0.272,year +2010,20|Northern,urban_treatment_rate_baseline,0.0,year +2010,21|Eastern,urban_treatment_rate_baseline,0.245,year +2010,22|Southern,urban_treatment_rate_baseline,0.249,year +2010,23|Muchinga,urban_treatment_rate_baseline,0.4,year +2010,24|Central,urban_treatment_rate_baseline,0.241,year +2010,2|Central,urban_treatment_rate_baseline,0.539,year +2010,3|Lusaka,urban_treatment_rate_baseline,0.332,year +2010,4|Central,urban_treatment_rate_baseline,0.354,year +2010,5|Copperbelt,urban_treatment_rate_baseline,0.562,year +2010,6|Lusaka,urban_treatment_rate_baseline,0.0,year +2010,7|Lusaka,urban_treatment_rate_baseline,0.332,year +2010,8|North-Western,urban_treatment_rate_baseline,0.514,year +2010,9|Western,urban_treatment_rate_baseline,0.218,year +2015,10|Lusaka,urban_treatment_rate_baseline,0.4525,year +2015,11|Southern,urban_treatment_rate_baseline,0.2915,year +2015,12|Western,urban_treatment_rate_baseline,0.0,year +2015,13|North-Western,urban_treatment_rate_baseline,0.251,year +2015,14|Southern,urban_treatment_rate_baseline,0.0,year +2015,15|Luapula,urban_treatment_rate_baseline,0.2665,year +2015,16|Muchinga,urban_treatment_rate_baseline,0.259,year +2015,17|Northern,urban_treatment_rate_baseline,0.247,year +2015,18|Northern,urban_treatment_rate_baseline,0.0,year +2015,19|Central,urban_treatment_rate_baseline,0.0,year +2015,1|Eastern,urban_treatment_rate_baseline,0.2735,year +2015,20|Northern,urban_treatment_rate_baseline,0.0,year +2015,21|Eastern,urban_treatment_rate_baseline,0.253,year +2015,22|Southern,urban_treatment_rate_baseline,0.255,year +2015,23|Muchinga,urban_treatment_rate_baseline,0.406,year +2015,24|Central,urban_treatment_rate_baseline,0.247,year +2015,2|Central,urban_treatment_rate_baseline,0.5535,year +2015,3|Lusaka,urban_treatment_rate_baseline,0.34099999999999997,year +2015,4|Central,urban_treatment_rate_baseline,0.362,year +2015,5|Copperbelt,urban_treatment_rate_baseline,0.5765,year +2015,6|Lusaka,urban_treatment_rate_baseline,0.0,year +2015,7|Lusaka,urban_treatment_rate_baseline,0.329,year +2015,8|North-Western,urban_treatment_rate_baseline,0.5275000000000001,year +2015,9|Western,urban_treatment_rate_baseline,0.2245,year +2020,10|Lusaka,urban_treatment_rate_baseline,0.464,year +2020,11|Southern,urban_treatment_rate_baseline,0.295,year +2020,12|Western,urban_treatment_rate_baseline,0.0,year +2020,13|North-Western,urban_treatment_rate_baseline,0.257,year +2020,14|Southern,urban_treatment_rate_baseline,0.0,year +2020,15|Luapula,urban_treatment_rate_baseline,0.273,year +2020,16|Muchinga,urban_treatment_rate_baseline,0.266,year +2020,17|Northern,urban_treatment_rate_baseline,0.253,year +2020,18|Northern,urban_treatment_rate_baseline,0.0,year +2020,19|Central,urban_treatment_rate_baseline,0.0,year +2020,1|Eastern,urban_treatment_rate_baseline,0.275,year +2020,20|Northern,urban_treatment_rate_baseline,0.0,year +2020,21|Eastern,urban_treatment_rate_baseline,0.261,year +2020,22|Southern,urban_treatment_rate_baseline,0.261,year +2020,23|Muchinga,urban_treatment_rate_baseline,0.412,year +2020,24|Central,urban_treatment_rate_baseline,0.253,year +2020,2|Central,urban_treatment_rate_baseline,0.568,year +2020,3|Lusaka,urban_treatment_rate_baseline,0.35,year +2020,4|Central,urban_treatment_rate_baseline,0.37,year +2020,5|Copperbelt,urban_treatment_rate_baseline,0.591,year +2020,6|Lusaka,urban_treatment_rate_baseline,0.0,year +2020,7|Lusaka,urban_treatment_rate_baseline,0.326,year +2020,8|North-Western,urban_treatment_rate_baseline,0.541,year +2020,9|Western,urban_treatment_rate_baseline,0.231,year +2025,10|Lusaka,urban_treatment_rate_baseline,0.4425,year +2025,11|Southern,urban_treatment_rate_baseline,0.3685,year +2025,12|Western,urban_treatment_rate_baseline,0.0,year +2025,13|North-Western,urban_treatment_rate_baseline,0.3405,year +2025,14|Southern,urban_treatment_rate_baseline,0.0,year +2025,15|Luapula,urban_treatment_rate_baseline,0.35050000000000003,year +2025,16|Muchinga,urban_treatment_rate_baseline,0.345,year +2025,17|Northern,urban_treatment_rate_baseline,0.3385,year +2025,18|Northern,urban_treatment_rate_baseline,0.201,year +2025,19|Central,urban_treatment_rate_baseline,0.0,year +2025,1|Eastern,urban_treatment_rate_baseline,0.352,year +2025,20|Northern,urban_treatment_rate_baseline,0.0,year +2025,21|Eastern,urban_treatment_rate_baseline,0.344,year +2025,22|Southern,urban_treatment_rate_baseline,0.3435,year +2025,23|Muchinga,urban_treatment_rate_baseline,0.433,year +2025,24|Central,urban_treatment_rate_baseline,0.3375,year +2025,2|Central,urban_treatment_rate_baseline,0.589,year +2025,3|Lusaka,urban_treatment_rate_baseline,0.4135,year +2025,4|Central,urban_treatment_rate_baseline,0.4265,year +2025,5|Copperbelt,urban_treatment_rate_baseline,0.603,year +2025,6|Lusaka,urban_treatment_rate_baseline,0.0,year +2025,7|Lusaka,urban_treatment_rate_baseline,0.3945,year +2025,8|North-Western,urban_treatment_rate_baseline,0.5215000000000001,year +2025,9|Western,urban_treatment_rate_baseline,0.354,year +2030,10|Lusaka,urban_treatment_rate_baseline,0.421,year +2030,11|Southern,urban_treatment_rate_baseline,0.442,year +2030,12|Western,urban_treatment_rate_baseline,0.0,year +2030,13|North-Western,urban_treatment_rate_baseline,0.424,year +2030,14|Southern,urban_treatment_rate_baseline,0.0,year +2030,15|Luapula,urban_treatment_rate_baseline,0.428,year +2030,16|Muchinga,urban_treatment_rate_baseline,0.424,year +2030,17|Northern,urban_treatment_rate_baseline,0.424,year +2030,18|Northern,urban_treatment_rate_baseline,0.402,year +2030,19|Central,urban_treatment_rate_baseline,0.0,year +2030,1|Eastern,urban_treatment_rate_baseline,0.429,year +2030,20|Northern,urban_treatment_rate_baseline,0.0,year +2030,21|Eastern,urban_treatment_rate_baseline,0.427,year +2030,22|Southern,urban_treatment_rate_baseline,0.426,year +2030,23|Muchinga,urban_treatment_rate_baseline,0.454,year +2030,24|Central,urban_treatment_rate_baseline,0.422,year +2030,2|Central,urban_treatment_rate_baseline,0.61,year +2030,3|Lusaka,urban_treatment_rate_baseline,0.477,year +2030,4|Central,urban_treatment_rate_baseline,0.483,year +2030,5|Copperbelt,urban_treatment_rate_baseline,0.615,year +2030,6|Lusaka,urban_treatment_rate_baseline,0.0,year +2030,7|Lusaka,urban_treatment_rate_baseline,0.463,year +2030,8|North-Western,urban_treatment_rate_baseline,0.502,year +2030,9|Western,urban_treatment_rate_baseline,0.477,year +2035,10|Lusaka,urban_treatment_rate_baseline,0.486,year +2035,11|Southern,urban_treatment_rate_baseline,0.5195,year +2035,12|Western,urban_treatment_rate_baseline,0.0,year +2035,13|North-Western,urban_treatment_rate_baseline,0.5115,year +2035,14|Southern,urban_treatment_rate_baseline,0.0,year +2035,15|Luapula,urban_treatment_rate_baseline,0.5135,year +2035,16|Muchinga,urban_treatment_rate_baseline,0.51,year +2035,17|Northern,urban_treatment_rate_baseline,0.5115,year +2035,18|Northern,urban_treatment_rate_baseline,0.4885,year +2035,19|Central,urban_treatment_rate_baseline,0.0,year +2035,1|Eastern,urban_treatment_rate_baseline,0.512,year +2035,20|Northern,urban_treatment_rate_baseline,0.0,year +2035,21|Eastern,urban_treatment_rate_baseline,0.513,year +2035,22|Southern,urban_treatment_rate_baseline,0.513,year +2035,23|Muchinga,urban_treatment_rate_baseline,0.49450000000000005,year +2035,24|Central,urban_treatment_rate_baseline,0.5115,year +2035,2|Central,urban_treatment_rate_baseline,0.659,year +2035,3|Lusaka,urban_treatment_rate_baseline,0.5575,year +2035,4|Central,urban_treatment_rate_baseline,0.558,year +2035,5|Copperbelt,urban_treatment_rate_baseline,0.6625,year +2035,6|Lusaka,urban_treatment_rate_baseline,0.296,year +2035,7|Lusaka,urban_treatment_rate_baseline,0.551,year +2035,8|North-Western,urban_treatment_rate_baseline,0.519,year +2035,9|Western,urban_treatment_rate_baseline,0.5685,year +2040,10|Lusaka,urban_treatment_rate_baseline,0.551,year +2040,11|Southern,urban_treatment_rate_baseline,0.597,year +2040,12|Western,urban_treatment_rate_baseline,0.0,year +2040,13|North-Western,urban_treatment_rate_baseline,0.599,year +2040,14|Southern,urban_treatment_rate_baseline,0.0,year +2040,15|Luapula,urban_treatment_rate_baseline,0.599,year +2040,16|Muchinga,urban_treatment_rate_baseline,0.596,year +2040,17|Northern,urban_treatment_rate_baseline,0.599,year +2040,18|Northern,urban_treatment_rate_baseline,0.575,year +2040,19|Central,urban_treatment_rate_baseline,0.0,year +2040,1|Eastern,urban_treatment_rate_baseline,0.595,year +2040,20|Northern,urban_treatment_rate_baseline,0.0,year +2040,21|Eastern,urban_treatment_rate_baseline,0.599,year +2040,22|Southern,urban_treatment_rate_baseline,0.6,year +2040,23|Muchinga,urban_treatment_rate_baseline,0.535,year +2040,24|Central,urban_treatment_rate_baseline,0.601,year +2040,2|Central,urban_treatment_rate_baseline,0.708,year +2040,3|Lusaka,urban_treatment_rate_baseline,0.638,year +2040,4|Central,urban_treatment_rate_baseline,0.633,year +2040,5|Copperbelt,urban_treatment_rate_baseline,0.71,year +2040,6|Lusaka,urban_treatment_rate_baseline,0.592,year +2040,7|Lusaka,urban_treatment_rate_baseline,0.639,year +2040,8|North-Western,urban_treatment_rate_baseline,0.536,year +2040,9|Western,urban_treatment_rate_baseline,0.66,year +2045,10|Lusaka,urban_treatment_rate_baseline,0.6225,year +2045,11|Southern,urban_treatment_rate_baseline,0.6735,year +2045,12|Western,urban_treatment_rate_baseline,0.0,year +2045,13|North-Western,urban_treatment_rate_baseline,0.6825,year +2045,14|Southern,urban_treatment_rate_baseline,0.0,year +2045,15|Luapula,urban_treatment_rate_baseline,0.6819999999999999,year +2045,16|Muchinga,urban_treatment_rate_baseline,0.6675,year +2045,17|Northern,urban_treatment_rate_baseline,0.6825,year +2045,18|Northern,urban_treatment_rate_baseline,0.6599999999999999,year +2045,19|Central,urban_treatment_rate_baseline,0.0,year +2045,1|Eastern,urban_treatment_rate_baseline,0.673,year +2045,20|Northern,urban_treatment_rate_baseline,0.362,year +2045,21|Eastern,urban_treatment_rate_baseline,0.6815,year +2045,22|Southern,urban_treatment_rate_baseline,0.6835,year +2045,23|Muchinga,urban_treatment_rate_baseline,0.595,year +2045,24|Central,urban_treatment_rate_baseline,0.6839999999999999,year +2045,2|Central,urban_treatment_rate_baseline,0.7695,year +2045,3|Lusaka,urban_treatment_rate_baseline,0.712,year +2045,4|Central,urban_treatment_rate_baseline,0.7085,year +2045,5|Copperbelt,urban_treatment_rate_baseline,0.77,year +2045,6|Lusaka,urban_treatment_rate_baseline,0.677,year +2045,7|Lusaka,urban_treatment_rate_baseline,0.7135,year +2045,8|North-Western,urban_treatment_rate_baseline,0.587,year +2045,9|Western,urban_treatment_rate_baseline,0.7145,year +2050,10|Lusaka,urban_treatment_rate_baseline,0.694,year +2050,11|Southern,urban_treatment_rate_baseline,0.75,year +2050,12|Western,urban_treatment_rate_baseline,0.0,year +2050,13|North-Western,urban_treatment_rate_baseline,0.766,year +2050,14|Southern,urban_treatment_rate_baseline,0.0,year +2050,15|Luapula,urban_treatment_rate_baseline,0.765,year +2050,16|Muchinga,urban_treatment_rate_baseline,0.739,year +2050,17|Northern,urban_treatment_rate_baseline,0.766,year +2050,18|Northern,urban_treatment_rate_baseline,0.745,year +2050,19|Central,urban_treatment_rate_baseline,0.0,year +2050,1|Eastern,urban_treatment_rate_baseline,0.751,year +2050,20|Northern,urban_treatment_rate_baseline,0.724,year +2050,21|Eastern,urban_treatment_rate_baseline,0.764,year +2050,22|Southern,urban_treatment_rate_baseline,0.767,year +2050,23|Muchinga,urban_treatment_rate_baseline,0.655,year +2050,24|Central,urban_treatment_rate_baseline,0.767,year +2050,2|Central,urban_treatment_rate_baseline,0.831,year +2050,3|Lusaka,urban_treatment_rate_baseline,0.786,year +2050,4|Central,urban_treatment_rate_baseline,0.784,year +2050,5|Copperbelt,urban_treatment_rate_baseline,0.83,year +2050,6|Lusaka,urban_treatment_rate_baseline,0.762,year +2050,7|Lusaka,urban_treatment_rate_baseline,0.788,year +2050,8|North-Western,urban_treatment_rate_baseline,0.638,year +2050,9|Western,urban_treatment_rate_baseline,0.769,year +2055,10|Lusaka,urban_treatment_rate_baseline,0.7545,year +2055,11|Southern,urban_treatment_rate_baseline,0.806,year +2055,12|Western,urban_treatment_rate_baseline,0.449,year +2055,13|North-Western,urban_treatment_rate_baseline,0.7635000000000001,year +2055,14|Southern,urban_treatment_rate_baseline,0.449,year +2055,15|Luapula,urban_treatment_rate_baseline,0.8225,year +2055,16|Muchinga,urban_treatment_rate_baseline,0.8035,year +2055,17|Northern,urban_treatment_rate_baseline,0.8235,year +2055,18|Northern,urban_treatment_rate_baseline,0.8075,year +2055,19|Central,urban_treatment_rate_baseline,0.0,year +2055,1|Eastern,urban_treatment_rate_baseline,0.8085,year +2055,20|Northern,urban_treatment_rate_baseline,0.7895,year +2055,21|Eastern,urban_treatment_rate_baseline,0.821,year +2055,22|Southern,urban_treatment_rate_baseline,0.8245,year +2055,23|Muchinga,urban_treatment_rate_baseline,0.757,year +2055,24|Central,urban_treatment_rate_baseline,0.8245,year +2055,2|Central,urban_treatment_rate_baseline,0.8755,year +2055,3|Lusaka,urban_treatment_rate_baseline,0.8385,year +2055,4|Central,urban_treatment_rate_baseline,0.8380000000000001,year +2055,5|Copperbelt,urban_treatment_rate_baseline,0.8745,year +2055,6|Lusaka,urban_treatment_rate_baseline,0.8205,year +2055,7|Lusaka,urban_treatment_rate_baseline,0.841,year +2055,8|North-Western,urban_treatment_rate_baseline,0.7095,year +2055,9|Western,urban_treatment_rate_baseline,0.8260000000000001,year +2060,10|Lusaka,urban_treatment_rate_baseline,0.815,year +2060,11|Southern,urban_treatment_rate_baseline,0.862,year +2060,12|Western,urban_treatment_rate_baseline,0.898,year +2060,13|North-Western,urban_treatment_rate_baseline,0.761,year +2060,14|Southern,urban_treatment_rate_baseline,0.898,year +2060,15|Luapula,urban_treatment_rate_baseline,0.88,year +2060,16|Muchinga,urban_treatment_rate_baseline,0.868,year +2060,17|Northern,urban_treatment_rate_baseline,0.881,year +2060,18|Northern,urban_treatment_rate_baseline,0.87,year +2060,19|Central,urban_treatment_rate_baseline,0.0,year +2060,1|Eastern,urban_treatment_rate_baseline,0.866,year +2060,20|Northern,urban_treatment_rate_baseline,0.855,year +2060,21|Eastern,urban_treatment_rate_baseline,0.878,year +2060,22|Southern,urban_treatment_rate_baseline,0.882,year +2060,23|Muchinga,urban_treatment_rate_baseline,0.859,year +2060,24|Central,urban_treatment_rate_baseline,0.882,year +2060,2|Central,urban_treatment_rate_baseline,0.92,year +2060,3|Lusaka,urban_treatment_rate_baseline,0.891,year +2060,4|Central,urban_treatment_rate_baseline,0.892,year +2060,5|Copperbelt,urban_treatment_rate_baseline,0.919,year +2060,6|Lusaka,urban_treatment_rate_baseline,0.879,year +2060,7|Lusaka,urban_treatment_rate_baseline,0.894,year +2060,8|North-Western,urban_treatment_rate_baseline,0.781,year +2060,9|Western,urban_treatment_rate_baseline,0.883,year +2070,10|Lusaka,urban_treatment_rate_baseline,0.903,year +2070,11|Southern,urban_treatment_rate_baseline,0.923,year +2070,12|Western,urban_treatment_rate_baseline,0.939,year +2070,13|North-Western,urban_treatment_rate_baseline,0.895,year +2070,14|Southern,urban_treatment_rate_baseline,0.939,year +2070,15|Luapula,urban_treatment_rate_baseline,0.939,year +2070,16|Muchinga,urban_treatment_rate_baseline,0.936,year +2070,17|Northern,urban_treatment_rate_baseline,0.939,year +2070,18|Northern,urban_treatment_rate_baseline,0.938,year +2070,19|Central,urban_treatment_rate_baseline,0.0,year +2070,1|Eastern,urban_treatment_rate_baseline,0.935,year +2070,20|Northern,urban_treatment_rate_baseline,0.93,year +2070,21|Eastern,urban_treatment_rate_baseline,0.938,year +2070,22|Southern,urban_treatment_rate_baseline,0.939,year +2070,23|Muchinga,urban_treatment_rate_baseline,0.933,year +2070,24|Central,urban_treatment_rate_baseline,0.939,year +2070,2|Central,urban_treatment_rate_baseline,0.962,year +2070,3|Lusaka,urban_treatment_rate_baseline,0.945,year +2070,4|Central,urban_treatment_rate_baseline,0.945,year +2070,5|Copperbelt,urban_treatment_rate_baseline,0.962,year +2070,6|Lusaka,urban_treatment_rate_baseline,0.938,year +2070,7|Lusaka,urban_treatment_rate_baseline,0.947,year +2070,8|North-Western,urban_treatment_rate_baseline,0.906,year +2070,9|Western,urban_treatment_rate_baseline,0.939,year +2080,10|Lusaka,urban_treatment_rate_baseline,0.955,year +2080,11|Southern,urban_treatment_rate_baseline,0.958,year +2080,12|Western,urban_treatment_rate_baseline,0.963,year +2080,13|North-Western,urban_treatment_rate_baseline,0.958,year +2080,14|Southern,urban_treatment_rate_baseline,0.963,year +2080,15|Luapula,urban_treatment_rate_baseline,0.966,year +2080,16|Muchinga,urban_treatment_rate_baseline,0.965,year +2080,17|Northern,urban_treatment_rate_baseline,0.965,year +2080,18|Northern,urban_treatment_rate_baseline,0.965,year +2080,19|Central,urban_treatment_rate_baseline,0.0,year +2080,1|Eastern,urban_treatment_rate_baseline,0.968,year +2080,20|Northern,urban_treatment_rate_baseline,0.964,year +2080,21|Eastern,urban_treatment_rate_baseline,0.966,year +2080,22|Southern,urban_treatment_rate_baseline,0.965,year +2080,23|Muchinga,urban_treatment_rate_baseline,0.966,year +2080,24|Central,urban_treatment_rate_baseline,0.965,year +2080,2|Central,urban_treatment_rate_baseline,0.979,year +2080,3|Lusaka,urban_treatment_rate_baseline,0.97,year +2080,4|Central,urban_treatment_rate_baseline,0.969,year +2080,5|Copperbelt,urban_treatment_rate_baseline,0.98,year +2080,6|Lusaka,urban_treatment_rate_baseline,0.964,year +2080,7|Lusaka,urban_treatment_rate_baseline,0.97,year +2080,8|North-Western,urban_treatment_rate_baseline,0.966,year +2080,9|Western,urban_treatment_rate_baseline,0.965,year +2090,10|Lusaka,urban_treatment_rate_baseline,0.978,year +2090,11|Southern,urban_treatment_rate_baseline,0.977,year +2090,12|Western,urban_treatment_rate_baseline,0.978,year +2090,13|North-Western,urban_treatment_rate_baseline,0.98,year +2090,14|Southern,urban_treatment_rate_baseline,0.978,year +2090,15|Luapula,urban_treatment_rate_baseline,0.98,year +2090,16|Muchinga,urban_treatment_rate_baseline,0.98,year +2090,17|Northern,urban_treatment_rate_baseline,0.979,year +2090,18|Northern,urban_treatment_rate_baseline,0.979,year +2090,19|Central,urban_treatment_rate_baseline,0.0,year +2090,1|Eastern,urban_treatment_rate_baseline,0.983,year +2090,20|Northern,urban_treatment_rate_baseline,0.979,year +2090,21|Eastern,urban_treatment_rate_baseline,0.98,year +2090,22|Southern,urban_treatment_rate_baseline,0.979,year +2090,23|Muchinga,urban_treatment_rate_baseline,0.981,year +2090,24|Central,urban_treatment_rate_baseline,0.979,year +2090,2|Central,urban_treatment_rate_baseline,0.988,year +2090,3|Lusaka,urban_treatment_rate_baseline,0.983,year +2090,4|Central,urban_treatment_rate_baseline,0.981,year +2090,5|Copperbelt,urban_treatment_rate_baseline,0.988,year +2090,6|Lusaka,urban_treatment_rate_baseline,0.979,year +2090,7|Lusaka,urban_treatment_rate_baseline,0.983,year +2090,8|North-Western,urban_treatment_rate_baseline,0.985,year +2090,9|Western,urban_treatment_rate_baseline,0.979,year +2100,10|Lusaka,urban_treatment_rate_baseline,0.99,year +2100,11|Southern,urban_treatment_rate_baseline,0.99,year +2100,12|Western,urban_treatment_rate_baseline,0.99,year +2100,13|North-Western,urban_treatment_rate_baseline,0.99,year +2100,14|Southern,urban_treatment_rate_baseline,0.99,year +2100,15|Luapula,urban_treatment_rate_baseline,0.99,year +2100,16|Muchinga,urban_treatment_rate_baseline,0.99,year +2100,17|Northern,urban_treatment_rate_baseline,0.99,year +2100,18|Northern,urban_treatment_rate_baseline,0.99,year +2100,19|Central,urban_treatment_rate_baseline,0.0,year +2100,1|Eastern,urban_treatment_rate_baseline,0.99,year +2100,20|Northern,urban_treatment_rate_baseline,0.99,year +2100,21|Eastern,urban_treatment_rate_baseline,0.99,year +2100,22|Southern,urban_treatment_rate_baseline,0.99,year +2100,23|Muchinga,urban_treatment_rate_baseline,0.99,year +2100,24|Central,urban_treatment_rate_baseline,0.99,year +2100,2|Central,urban_treatment_rate_baseline,0.99,year +2100,3|Lusaka,urban_treatment_rate_baseline,0.99,year +2100,4|Central,urban_treatment_rate_baseline,0.99,year +2100,5|Copperbelt,urban_treatment_rate_baseline,0.99,year +2100,6|Lusaka,urban_treatment_rate_baseline,0.99,year +2100,7|Lusaka,urban_treatment_rate_baseline,0.99,year +2100,8|North-Western,urban_treatment_rate_baseline,0.99,year +2100,9|Western,urban_treatment_rate_baseline,0.99,year +2110,10|Lusaka,urban_treatment_rate_baseline,0.99,year +2110,11|Southern,urban_treatment_rate_baseline,0.99,year +2110,12|Western,urban_treatment_rate_baseline,0.99,year +2110,13|North-Western,urban_treatment_rate_baseline,0.99,year +2110,14|Southern,urban_treatment_rate_baseline,0.99,year +2110,15|Luapula,urban_treatment_rate_baseline,0.99,year +2110,16|Muchinga,urban_treatment_rate_baseline,0.99,year +2110,17|Northern,urban_treatment_rate_baseline,0.99,year +2110,18|Northern,urban_treatment_rate_baseline,0.99,year +2110,19|Central,urban_treatment_rate_baseline,0.0,year +2110,1|Eastern,urban_treatment_rate_baseline,0.99,year +2110,20|Northern,urban_treatment_rate_baseline,0.99,year +2110,21|Eastern,urban_treatment_rate_baseline,0.99,year +2110,22|Southern,urban_treatment_rate_baseline,0.99,year +2110,23|Muchinga,urban_treatment_rate_baseline,0.99,year +2110,24|Central,urban_treatment_rate_baseline,0.99,year +2110,2|Central,urban_treatment_rate_baseline,0.99,year +2110,3|Lusaka,urban_treatment_rate_baseline,0.99,year +2110,4|Central,urban_treatment_rate_baseline,0.99,year +2110,5|Copperbelt,urban_treatment_rate_baseline,0.99,year +2110,6|Lusaka,urban_treatment_rate_baseline,0.99,year +2110,7|Lusaka,urban_treatment_rate_baseline,0.99,year +2110,8|North-Western,urban_treatment_rate_baseline,0.99,year +2110,9|Western,urban_treatment_rate_baseline,0.99,year +2010,10|Lusaka,rural_treatment_rate_baseline,0.295,year +2010,11|Southern,rural_treatment_rate_baseline,0.29,year +2010,12|Western,rural_treatment_rate_baseline,0.238,year +2010,13|North-Western,rural_treatment_rate_baseline,0.264,year +2010,14|Southern,rural_treatment_rate_baseline,0.24,year +2010,15|Luapula,rural_treatment_rate_baseline,0.267,year +2010,16|Muchinga,rural_treatment_rate_baseline,0.262,year +2010,17|Northern,rural_treatment_rate_baseline,0.242,year +2010,18|Northern,rural_treatment_rate_baseline,0.229,year +2010,19|Central,rural_treatment_rate_baseline,0.249,year +2010,1|Eastern,rural_treatment_rate_baseline,0.408,year +2010,20|Northern,rural_treatment_rate_baseline,0.257,year +2010,21|Eastern,rural_treatment_rate_baseline,0.391,year +2010,22|Southern,rural_treatment_rate_baseline,0.245,year +2010,23|Muchinga,rural_treatment_rate_baseline,0.4,year +2010,24|Central,rural_treatment_rate_baseline,0.245,year +2010,2|Central,rural_treatment_rate_baseline,0.462,year +2010,3|Lusaka,rural_treatment_rate_baseline,0.431,year +2010,4|Central,rural_treatment_rate_baseline,0.274,year +2010,5|Copperbelt,rural_treatment_rate_baseline,0.392,year +2010,6|Lusaka,rural_treatment_rate_baseline,0.227,year +2010,7|Lusaka,rural_treatment_rate_baseline,0.352,year +2010,8|North-Western,rural_treatment_rate_baseline,0.332,year +2010,9|Western,rural_treatment_rate_baseline,0.241,year +2015,10|Lusaka,rural_treatment_rate_baseline,0.302,year +2015,11|Southern,rural_treatment_rate_baseline,0.3015,year +2015,12|Western,rural_treatment_rate_baseline,0.2445,year +2015,13|North-Western,rural_treatment_rate_baseline,0.271,year +2015,14|Southern,rural_treatment_rate_baseline,0.2465,year +2015,15|Luapula,rural_treatment_rate_baseline,0.274,year +2015,16|Muchinga,rural_treatment_rate_baseline,0.269,year +2015,17|Northern,rural_treatment_rate_baseline,0.2485,year +2015,18|Northern,rural_treatment_rate_baseline,0.235,year +2015,19|Central,rural_treatment_rate_baseline,0.2555,year +2015,1|Eastern,rural_treatment_rate_baseline,0.46499999999999997,year +2015,20|Northern,rural_treatment_rate_baseline,0.264,year +2015,21|Eastern,rural_treatment_rate_baseline,0.41400000000000003,year +2015,22|Southern,rural_treatment_rate_baseline,0.2505,year +2015,23|Muchinga,rural_treatment_rate_baseline,0.41300000000000003,year +2015,24|Central,rural_treatment_rate_baseline,0.2515,year +2015,2|Central,rural_treatment_rate_baseline,0.474,year +2015,3|Lusaka,rural_treatment_rate_baseline,0.439,year +2015,4|Central,rural_treatment_rate_baseline,0.2815,year +2015,5|Copperbelt,rural_treatment_rate_baseline,0.401,year +2015,6|Lusaka,rural_treatment_rate_baseline,0.23299999999999998,year +2015,7|Lusaka,rural_treatment_rate_baseline,0.378,year +2015,8|North-Western,rural_treatment_rate_baseline,0.34099999999999997,year +2015,9|Western,rural_treatment_rate_baseline,0.2475,year +2020,10|Lusaka,rural_treatment_rate_baseline,0.309,year +2020,11|Southern,rural_treatment_rate_baseline,0.313,year +2020,12|Western,rural_treatment_rate_baseline,0.251,year +2020,13|North-Western,rural_treatment_rate_baseline,0.278,year +2020,14|Southern,rural_treatment_rate_baseline,0.253,year +2020,15|Luapula,rural_treatment_rate_baseline,0.281,year +2020,16|Muchinga,rural_treatment_rate_baseline,0.276,year +2020,17|Northern,rural_treatment_rate_baseline,0.255,year +2020,18|Northern,rural_treatment_rate_baseline,0.241,year +2020,19|Central,rural_treatment_rate_baseline,0.262,year +2020,1|Eastern,rural_treatment_rate_baseline,0.522,year +2020,20|Northern,rural_treatment_rate_baseline,0.271,year +2020,21|Eastern,rural_treatment_rate_baseline,0.437,year +2020,22|Southern,rural_treatment_rate_baseline,0.256,year +2020,23|Muchinga,rural_treatment_rate_baseline,0.426,year +2020,24|Central,rural_treatment_rate_baseline,0.258,year +2020,2|Central,rural_treatment_rate_baseline,0.486,year +2020,3|Lusaka,rural_treatment_rate_baseline,0.447,year +2020,4|Central,rural_treatment_rate_baseline,0.289,year +2020,5|Copperbelt,rural_treatment_rate_baseline,0.41,year +2020,6|Lusaka,rural_treatment_rate_baseline,0.239,year +2020,7|Lusaka,rural_treatment_rate_baseline,0.404,year +2020,8|North-Western,rural_treatment_rate_baseline,0.35,year +2020,9|Western,rural_treatment_rate_baseline,0.254,year +2025,10|Lusaka,rural_treatment_rate_baseline,0.3345,year +2025,11|Southern,rural_treatment_rate_baseline,0.34199999999999997,year +2025,12|Western,rural_treatment_rate_baseline,0.2965,year +2025,13|North-Western,rural_treatment_rate_baseline,0.32,year +2025,14|Southern,rural_treatment_rate_baseline,0.299,year +2025,15|Luapula,rural_treatment_rate_baseline,0.3195,year +2025,16|Muchinga,rural_treatment_rate_baseline,0.3185,year +2025,17|Northern,rural_treatment_rate_baseline,0.29900000000000004,year +2025,18|Northern,rural_treatment_rate_baseline,0.29200000000000004,year +2025,19|Central,rural_treatment_rate_baseline,0.3035,year +2025,1|Eastern,rural_treatment_rate_baseline,0.51,year +2025,20|Northern,rural_treatment_rate_baseline,0.319,year +2025,21|Eastern,rural_treatment_rate_baseline,0.4505,year +2025,22|Southern,rural_treatment_rate_baseline,0.3005,year +2025,23|Muchinga,rural_treatment_rate_baseline,0.434,year +2025,24|Central,rural_treatment_rate_baseline,0.303,year +2025,2|Central,rural_treatment_rate_baseline,0.485,year +2025,3|Lusaka,rural_treatment_rate_baseline,0.4495,year +2025,4|Central,rural_treatment_rate_baseline,0.32599999999999996,year +2025,5|Copperbelt,rural_treatment_rate_baseline,0.4265,year +2025,6|Lusaka,rural_treatment_rate_baseline,0.28700000000000003,year +2025,7|Lusaka,rural_treatment_rate_baseline,0.43200000000000005,year +2025,8|North-Western,rural_treatment_rate_baseline,0.3715,year +2025,9|Western,rural_treatment_rate_baseline,0.3025,year +2030,10|Lusaka,rural_treatment_rate_baseline,0.36,year +2030,11|Southern,rural_treatment_rate_baseline,0.371,year +2030,12|Western,rural_treatment_rate_baseline,0.342,year +2030,13|North-Western,rural_treatment_rate_baseline,0.362,year +2030,14|Southern,rural_treatment_rate_baseline,0.345,year +2030,15|Luapula,rural_treatment_rate_baseline,0.358,year +2030,16|Muchinga,rural_treatment_rate_baseline,0.361,year +2030,17|Northern,rural_treatment_rate_baseline,0.343,year +2030,18|Northern,rural_treatment_rate_baseline,0.343,year +2030,19|Central,rural_treatment_rate_baseline,0.345,year +2030,1|Eastern,rural_treatment_rate_baseline,0.498,year +2030,20|Northern,rural_treatment_rate_baseline,0.367,year +2030,21|Eastern,rural_treatment_rate_baseline,0.464,year +2030,22|Southern,rural_treatment_rate_baseline,0.345,year +2030,23|Muchinga,rural_treatment_rate_baseline,0.442,year +2030,24|Central,rural_treatment_rate_baseline,0.348,year +2030,2|Central,rural_treatment_rate_baseline,0.484,year +2030,3|Lusaka,rural_treatment_rate_baseline,0.452,year +2030,4|Central,rural_treatment_rate_baseline,0.363,year +2030,5|Copperbelt,rural_treatment_rate_baseline,0.443,year +2030,6|Lusaka,rural_treatment_rate_baseline,0.335,year +2030,7|Lusaka,rural_treatment_rate_baseline,0.46,year +2030,8|North-Western,rural_treatment_rate_baseline,0.393,year +2030,9|Western,rural_treatment_rate_baseline,0.351,year +2035,10|Lusaka,rural_treatment_rate_baseline,0.38849999999999996,year +2035,11|Southern,rural_treatment_rate_baseline,0.4065,year +2035,12|Western,rural_treatment_rate_baseline,0.382,year +2035,13|North-Western,rural_treatment_rate_baseline,0.401,year +2035,14|Southern,rural_treatment_rate_baseline,0.391,year +2035,15|Luapula,rural_treatment_rate_baseline,0.398,year +2035,16|Muchinga,rural_treatment_rate_baseline,0.40549999999999997,year +2035,17|Northern,rural_treatment_rate_baseline,0.3885,year +2035,18|Northern,rural_treatment_rate_baseline,0.395,year +2035,19|Central,rural_treatment_rate_baseline,0.388,year +2035,1|Eastern,rural_treatment_rate_baseline,0.5015000000000001,year +2035,20|Northern,rural_treatment_rate_baseline,0.42,year +2035,21|Eastern,rural_treatment_rate_baseline,0.47950000000000004,year +2035,22|Southern,rural_treatment_rate_baseline,0.391,year +2035,23|Muchinga,rural_treatment_rate_baseline,0.46099999999999997,year +2035,24|Central,rural_treatment_rate_baseline,0.392,year +2035,2|Central,rural_treatment_rate_baseline,0.476,year +2035,3|Lusaka,rural_treatment_rate_baseline,0.47,year +2035,4|Central,rural_treatment_rate_baseline,0.40249999999999997,year +2035,5|Copperbelt,rural_treatment_rate_baseline,0.4665,year +2035,6|Lusaka,rural_treatment_rate_baseline,0.382,year +2035,7|Lusaka,rural_treatment_rate_baseline,0.4635,year +2035,8|North-Western,rural_treatment_rate_baseline,0.42200000000000004,year +2035,9|Western,rural_treatment_rate_baseline,0.39749999999999996,year +2040,10|Lusaka,rural_treatment_rate_baseline,0.417,year +2040,11|Southern,rural_treatment_rate_baseline,0.442,year +2040,12|Western,rural_treatment_rate_baseline,0.422,year +2040,13|North-Western,rural_treatment_rate_baseline,0.44,year +2040,14|Southern,rural_treatment_rate_baseline,0.437,year +2040,15|Luapula,rural_treatment_rate_baseline,0.438,year +2040,16|Muchinga,rural_treatment_rate_baseline,0.45,year +2040,17|Northern,rural_treatment_rate_baseline,0.434,year +2040,18|Northern,rural_treatment_rate_baseline,0.447,year +2040,19|Central,rural_treatment_rate_baseline,0.431,year +2040,1|Eastern,rural_treatment_rate_baseline,0.505,year +2040,20|Northern,rural_treatment_rate_baseline,0.473,year +2040,21|Eastern,rural_treatment_rate_baseline,0.495,year +2040,22|Southern,rural_treatment_rate_baseline,0.437,year +2040,23|Muchinga,rural_treatment_rate_baseline,0.48,year +2040,24|Central,rural_treatment_rate_baseline,0.436,year +2040,2|Central,rural_treatment_rate_baseline,0.468,year +2040,3|Lusaka,rural_treatment_rate_baseline,0.488,year +2040,4|Central,rural_treatment_rate_baseline,0.442,year +2040,5|Copperbelt,rural_treatment_rate_baseline,0.49,year +2040,6|Lusaka,rural_treatment_rate_baseline,0.429,year +2040,7|Lusaka,rural_treatment_rate_baseline,0.467,year +2040,8|North-Western,rural_treatment_rate_baseline,0.451,year +2040,9|Western,rural_treatment_rate_baseline,0.444,year +2045,10|Lusaka,rural_treatment_rate_baseline,0.4605,year +2045,11|Southern,rural_treatment_rate_baseline,0.489,year +2045,12|Western,rural_treatment_rate_baseline,0.46599999999999997,year +2045,13|North-Western,rural_treatment_rate_baseline,0.48850000000000005,year +2045,14|Southern,rural_treatment_rate_baseline,0.492,year +2045,15|Luapula,rural_treatment_rate_baseline,0.48750000000000004,year +2045,16|Muchinga,rural_treatment_rate_baseline,0.5035000000000001,year +2045,17|Northern,rural_treatment_rate_baseline,0.488,year +2045,18|Northern,rural_treatment_rate_baseline,0.5075,year +2045,19|Central,rural_treatment_rate_baseline,0.48350000000000004,year +2045,1|Eastern,rural_treatment_rate_baseline,0.529,year +2045,20|Northern,rural_treatment_rate_baseline,0.5355,year +2045,21|Eastern,rural_treatment_rate_baseline,0.5245,year +2045,22|Southern,rural_treatment_rate_baseline,0.49150000000000005,year +2045,23|Muchinga,rural_treatment_rate_baseline,0.5145,year +2045,24|Central,rural_treatment_rate_baseline,0.491,year +2045,2|Central,rural_treatment_rate_baseline,0.507,year +2045,3|Lusaka,rural_treatment_rate_baseline,0.5205,year +2045,4|Central,rural_treatment_rate_baseline,0.49450000000000005,year +2045,5|Copperbelt,rural_treatment_rate_baseline,0.5309999999999999,year +2045,6|Lusaka,rural_treatment_rate_baseline,0.484,year +2045,7|Lusaka,rural_treatment_rate_baseline,0.515,year +2045,8|North-Western,rural_treatment_rate_baseline,0.494,year +2045,9|Western,rural_treatment_rate_baseline,0.49850000000000005,year +2050,10|Lusaka,rural_treatment_rate_baseline,0.504,year +2050,11|Southern,rural_treatment_rate_baseline,0.536,year +2050,12|Western,rural_treatment_rate_baseline,0.51,year +2050,13|North-Western,rural_treatment_rate_baseline,0.537,year +2050,14|Southern,rural_treatment_rate_baseline,0.547,year +2050,15|Luapula,rural_treatment_rate_baseline,0.537,year +2050,16|Muchinga,rural_treatment_rate_baseline,0.557,year +2050,17|Northern,rural_treatment_rate_baseline,0.542,year +2050,18|Northern,rural_treatment_rate_baseline,0.568,year +2050,19|Central,rural_treatment_rate_baseline,0.536,year +2050,1|Eastern,rural_treatment_rate_baseline,0.553,year +2050,20|Northern,rural_treatment_rate_baseline,0.598,year +2050,21|Eastern,rural_treatment_rate_baseline,0.554,year +2050,22|Southern,rural_treatment_rate_baseline,0.546,year +2050,23|Muchinga,rural_treatment_rate_baseline,0.549,year +2050,24|Central,rural_treatment_rate_baseline,0.546,year +2050,2|Central,rural_treatment_rate_baseline,0.546,year +2050,3|Lusaka,rural_treatment_rate_baseline,0.553,year +2050,4|Central,rural_treatment_rate_baseline,0.547,year +2050,5|Copperbelt,rural_treatment_rate_baseline,0.572,year +2050,6|Lusaka,rural_treatment_rate_baseline,0.539,year +2050,7|Lusaka,rural_treatment_rate_baseline,0.563,year +2050,8|North-Western,rural_treatment_rate_baseline,0.537,year +2050,9|Western,rural_treatment_rate_baseline,0.553,year +2055,10|Lusaka,rural_treatment_rate_baseline,0.5675,year +2055,11|Southern,rural_treatment_rate_baseline,0.5965,year +2055,12|Western,rural_treatment_rate_baseline,0.56,year +2055,13|North-Western,rural_treatment_rate_baseline,0.6005,year +2055,14|Southern,rural_treatment_rate_baseline,0.6125,year +2055,15|Luapula,rural_treatment_rate_baseline,0.5995,year +2055,16|Muchinga,rural_treatment_rate_baseline,0.6160000000000001,year +2055,17|Northern,rural_treatment_rate_baseline,0.607,year +2055,18|Northern,rural_treatment_rate_baseline,0.637,year +2055,19|Central,rural_treatment_rate_baseline,0.6000000000000001,year +2055,1|Eastern,rural_treatment_rate_baseline,0.5975,year +2055,20|Northern,rural_treatment_rate_baseline,0.6679999999999999,year +2055,21|Eastern,rural_treatment_rate_baseline,0.5985,year +2055,22|Southern,rural_treatment_rate_baseline,0.6120000000000001,year +2055,23|Muchinga,rural_treatment_rate_baseline,0.5995,year +2055,24|Central,rural_treatment_rate_baseline,0.6120000000000001,year +2055,2|Central,rural_treatment_rate_baseline,0.6120000000000001,year +2055,3|Lusaka,rural_treatment_rate_baseline,0.6040000000000001,year +2055,4|Central,rural_treatment_rate_baseline,0.611,year +2055,5|Copperbelt,rural_treatment_rate_baseline,0.6299999999999999,year +2055,6|Lusaka,rural_treatment_rate_baseline,0.6045,year +2055,7|Lusaka,rural_treatment_rate_baseline,0.6245,year +2055,8|North-Western,rural_treatment_rate_baseline,0.6060000000000001,year +2055,9|Western,rural_treatment_rate_baseline,0.617,year +2060,10|Lusaka,rural_treatment_rate_baseline,0.631,year +2060,11|Southern,rural_treatment_rate_baseline,0.657,year +2060,12|Western,rural_treatment_rate_baseline,0.61,year +2060,13|North-Western,rural_treatment_rate_baseline,0.664,year +2060,14|Southern,rural_treatment_rate_baseline,0.678,year +2060,15|Luapula,rural_treatment_rate_baseline,0.662,year +2060,16|Muchinga,rural_treatment_rate_baseline,0.675,year +2060,17|Northern,rural_treatment_rate_baseline,0.672,year +2060,18|Northern,rural_treatment_rate_baseline,0.706,year +2060,19|Central,rural_treatment_rate_baseline,0.664,year +2060,1|Eastern,rural_treatment_rate_baseline,0.642,year +2060,20|Northern,rural_treatment_rate_baseline,0.738,year +2060,21|Eastern,rural_treatment_rate_baseline,0.643,year +2060,22|Southern,rural_treatment_rate_baseline,0.678,year +2060,23|Muchinga,rural_treatment_rate_baseline,0.65,year +2060,24|Central,rural_treatment_rate_baseline,0.678,year +2060,2|Central,rural_treatment_rate_baseline,0.678,year +2060,3|Lusaka,rural_treatment_rate_baseline,0.655,year +2060,4|Central,rural_treatment_rate_baseline,0.675,year +2060,5|Copperbelt,rural_treatment_rate_baseline,0.688,year +2060,6|Lusaka,rural_treatment_rate_baseline,0.67,year +2060,7|Lusaka,rural_treatment_rate_baseline,0.686,year +2060,8|North-Western,rural_treatment_rate_baseline,0.675,year +2060,9|Western,rural_treatment_rate_baseline,0.681,year +2070,10|Lusaka,rural_treatment_rate_baseline,0.781,year +2070,11|Southern,rural_treatment_rate_baseline,0.785,year +2070,12|Western,rural_treatment_rate_baseline,0.714,year +2070,13|North-Western,rural_treatment_rate_baseline,0.796,year +2070,14|Southern,rural_treatment_rate_baseline,0.81,year +2070,15|Luapula,rural_treatment_rate_baseline,0.795,year +2070,16|Muchinga,rural_treatment_rate_baseline,0.806,year +2070,17|Northern,rural_treatment_rate_baseline,0.802,year +2070,18|Northern,rural_treatment_rate_baseline,0.847,year +2070,19|Central,rural_treatment_rate_baseline,0.799,year +2070,1|Eastern,rural_treatment_rate_baseline,0.769,year +2070,20|Northern,rural_treatment_rate_baseline,0.86,year +2070,21|Eastern,rural_treatment_rate_baseline,0.767,year +2070,22|Southern,rural_treatment_rate_baseline,0.81,year +2070,23|Muchinga,rural_treatment_rate_baseline,0.776,year +2070,24|Central,rural_treatment_rate_baseline,0.81,year +2070,2|Central,rural_treatment_rate_baseline,0.81,year +2070,3|Lusaka,rural_treatment_rate_baseline,0.786,year +2070,4|Central,rural_treatment_rate_baseline,0.807,year +2070,5|Copperbelt,rural_treatment_rate_baseline,0.814,year +2070,6|Lusaka,rural_treatment_rate_baseline,0.807,year +2070,7|Lusaka,rural_treatment_rate_baseline,0.814,year +2070,8|North-Western,rural_treatment_rate_baseline,0.806,year +2070,9|Western,rural_treatment_rate_baseline,0.812,year +2080,10|Lusaka,rural_treatment_rate_baseline,0.901,year +2080,11|Southern,rural_treatment_rate_baseline,0.887,year +2080,12|Western,rural_treatment_rate_baseline,0.799,year +2080,13|North-Western,rural_treatment_rate_baseline,0.91,year +2080,14|Southern,rural_treatment_rate_baseline,0.909,year +2080,15|Luapula,rural_treatment_rate_baseline,0.894,year +2080,16|Muchinga,rural_treatment_rate_baseline,0.906,year +2080,17|Northern,rural_treatment_rate_baseline,0.903,year +2080,18|Northern,rural_treatment_rate_baseline,0.931,year +2080,19|Central,rural_treatment_rate_baseline,0.902,year +2080,1|Eastern,rural_treatment_rate_baseline,0.89,year +2080,20|Northern,rural_treatment_rate_baseline,0.937,year +2080,21|Eastern,rural_treatment_rate_baseline,0.887,year +2080,22|Southern,rural_treatment_rate_baseline,0.909,year +2080,23|Muchinga,rural_treatment_rate_baseline,0.891,year +2080,24|Central,rural_treatment_rate_baseline,0.909,year +2080,2|Central,rural_treatment_rate_baseline,0.909,year +2080,3|Lusaka,rural_treatment_rate_baseline,0.896,year +2080,4|Central,rural_treatment_rate_baseline,0.907,year +2080,5|Copperbelt,rural_treatment_rate_baseline,0.911,year +2080,6|Lusaka,rural_treatment_rate_baseline,0.91,year +2080,7|Lusaka,rural_treatment_rate_baseline,0.911,year +2080,8|North-Western,rural_treatment_rate_baseline,0.907,year +2080,9|Western,rural_treatment_rate_baseline,0.908,year +2090,10|Lusaka,rural_treatment_rate_baseline,0.962,year +2090,11|Southern,rural_treatment_rate_baseline,0.948,year +2090,12|Western,rural_treatment_rate_baseline,0.855,year +2090,13|North-Western,rural_treatment_rate_baseline,0.962,year +2090,14|Southern,rural_treatment_rate_baseline,0.961,year +2090,15|Luapula,rural_treatment_rate_baseline,0.954,year +2090,16|Muchinga,rural_treatment_rate_baseline,0.961,year +2090,17|Northern,rural_treatment_rate_baseline,0.959,year +2090,18|Northern,rural_treatment_rate_baseline,0.969,year +2090,19|Central,rural_treatment_rate_baseline,0.959,year +2090,1|Eastern,rural_treatment_rate_baseline,0.961,year +2090,20|Northern,rural_treatment_rate_baseline,0.972,year +2090,21|Eastern,rural_treatment_rate_baseline,0.96,year +2090,22|Southern,rural_treatment_rate_baseline,0.961,year +2090,23|Muchinga,rural_treatment_rate_baseline,0.959,year +2090,24|Central,rural_treatment_rate_baseline,0.961,year +2090,2|Central,rural_treatment_rate_baseline,0.0,year +2090,3|Lusaka,rural_treatment_rate_baseline,0.957,year +2090,4|Central,rural_treatment_rate_baseline,0.961,year +2090,5|Copperbelt,rural_treatment_rate_baseline,0.964,year +2090,6|Lusaka,rural_treatment_rate_baseline,0.963,year +2090,7|Lusaka,rural_treatment_rate_baseline,0.963,year +2090,8|North-Western,rural_treatment_rate_baseline,0.962,year +2090,9|Western,rural_treatment_rate_baseline,0.96,year +2100,10|Lusaka,rural_treatment_rate_baseline,0.99,year +2100,11|Southern,rural_treatment_rate_baseline,0.99,year +2100,12|Western,rural_treatment_rate_baseline,0.99,year +2100,13|North-Western,rural_treatment_rate_baseline,0.99,year +2100,14|Southern,rural_treatment_rate_baseline,0.99,year +2100,15|Luapula,rural_treatment_rate_baseline,0.99,year +2100,16|Muchinga,rural_treatment_rate_baseline,0.99,year +2100,17|Northern,rural_treatment_rate_baseline,0.99,year +2100,18|Northern,rural_treatment_rate_baseline,0.99,year +2100,19|Central,rural_treatment_rate_baseline,0.99,year +2100,1|Eastern,rural_treatment_rate_baseline,0.99,year +2100,20|Northern,rural_treatment_rate_baseline,0.99,year +2100,21|Eastern,rural_treatment_rate_baseline,0.99,year +2100,22|Southern,rural_treatment_rate_baseline,0.99,year +2100,23|Muchinga,rural_treatment_rate_baseline,0.99,year +2100,24|Central,rural_treatment_rate_baseline,0.99,year +2100,2|Central,rural_treatment_rate_baseline,0.99,year +2100,3|Lusaka,rural_treatment_rate_baseline,0.99,year +2100,4|Central,rural_treatment_rate_baseline,0.99,year +2100,5|Copperbelt,rural_treatment_rate_baseline,0.99,year +2100,6|Lusaka,rural_treatment_rate_baseline,0.99,year +2100,7|Lusaka,rural_treatment_rate_baseline,0.99,year +2100,8|North-Western,rural_treatment_rate_baseline,0.99,year +2100,9|Western,rural_treatment_rate_baseline,0.99,year +2110,10|Lusaka,rural_treatment_rate_baseline,0.99,year +2110,11|Southern,rural_treatment_rate_baseline,0.99,year +2110,12|Western,rural_treatment_rate_baseline,0.99,year +2110,13|North-Western,rural_treatment_rate_baseline,0.99,year +2110,14|Southern,rural_treatment_rate_baseline,0.99,year +2110,15|Luapula,rural_treatment_rate_baseline,0.99,year +2110,16|Muchinga,rural_treatment_rate_baseline,0.99,year +2110,17|Northern,rural_treatment_rate_baseline,0.99,year +2110,18|Northern,rural_treatment_rate_baseline,0.99,year +2110,19|Central,rural_treatment_rate_baseline,0.99,year +2110,1|Eastern,rural_treatment_rate_baseline,0.99,year +2110,20|Northern,rural_treatment_rate_baseline,0.99,year +2110,21|Eastern,rural_treatment_rate_baseline,0.99,year +2110,22|Southern,rural_treatment_rate_baseline,0.99,year +2110,23|Muchinga,rural_treatment_rate_baseline,0.99,year +2110,24|Central,rural_treatment_rate_baseline,0.99,year +2110,2|Central,rural_treatment_rate_baseline,0.99,year +2110,3|Lusaka,rural_treatment_rate_baseline,0.99,year +2110,4|Central,rural_treatment_rate_baseline,0.99,year +2110,5|Copperbelt,rural_treatment_rate_baseline,0.99,year +2110,6|Lusaka,rural_treatment_rate_baseline,0.99,year +2110,7|Lusaka,rural_treatment_rate_baseline,0.99,year +2110,8|North-Western,rural_treatment_rate_baseline,0.99,year +2110,9|Western,rural_treatment_rate_baseline,0.99,year +2010,10|Lusaka,urban_recycling_rate_baseline,0.3528,year +2010,11|Southern,urban_recycling_rate_baseline,0.2304,year +2010,12|Western,urban_recycling_rate_baseline,0.0,year +2010,13|North-Western,urban_recycling_rate_baseline,0.196,year +2010,14|Southern,urban_recycling_rate_baseline,0.0,year +2010,15|Luapula,urban_recycling_rate_baseline,0.208,year +2010,16|Muchinga,urban_recycling_rate_baseline,0.2016,year +2010,17|Northern,urban_recycling_rate_baseline,0.1928,year +2010,18|Northern,urban_recycling_rate_baseline,0.0,year +2010,19|Central,urban_recycling_rate_baseline,0.0,year +2010,1|Eastern,urban_recycling_rate_baseline,0.2176,year +2010,20|Northern,urban_recycling_rate_baseline,0.0,year +2010,21|Eastern,urban_recycling_rate_baseline,0.196,year +2010,22|Southern,urban_recycling_rate_baseline,0.1992,year +2010,23|Muchinga,urban_recycling_rate_baseline,0.32,year +2010,24|Central,urban_recycling_rate_baseline,0.1928,year +2010,2|Central,urban_recycling_rate_baseline,0.4312,year +2010,3|Lusaka,urban_recycling_rate_baseline,0.2656,year +2010,4|Central,urban_recycling_rate_baseline,0.2832,year +2010,5|Copperbelt,urban_recycling_rate_baseline,0.4496,year +2010,6|Lusaka,urban_recycling_rate_baseline,0.0,year +2010,7|Lusaka,urban_recycling_rate_baseline,0.2656,year +2010,8|North-Western,urban_recycling_rate_baseline,0.4112,year +2010,9|Western,urban_recycling_rate_baseline,0.1744,year +2015,10|Lusaka,urban_recycling_rate_baseline,0.362,year +2015,11|Southern,urban_recycling_rate_baseline,0.2332,year +2015,12|Western,urban_recycling_rate_baseline,0.0,year +2015,13|North-Western,urban_recycling_rate_baseline,0.2008,year +2015,14|Southern,urban_recycling_rate_baseline,0.0,year +2015,15|Luapula,urban_recycling_rate_baseline,0.2132,year +2015,16|Muchinga,urban_recycling_rate_baseline,0.2072,year +2015,17|Northern,urban_recycling_rate_baseline,0.1976,year +2015,18|Northern,urban_recycling_rate_baseline,0.0,year +2015,19|Central,urban_recycling_rate_baseline,0.0,year +2015,1|Eastern,urban_recycling_rate_baseline,0.2188,year +2015,20|Northern,urban_recycling_rate_baseline,0.0,year +2015,21|Eastern,urban_recycling_rate_baseline,0.20240000000000002,year +2015,22|Southern,urban_recycling_rate_baseline,0.20400000000000001,year +2015,23|Muchinga,urban_recycling_rate_baseline,0.3248,year +2015,24|Central,urban_recycling_rate_baseline,0.1976,year +2015,2|Central,urban_recycling_rate_baseline,0.4428,year +2015,3|Lusaka,urban_recycling_rate_baseline,0.27280000000000004,year +2015,4|Central,urban_recycling_rate_baseline,0.28959999999999997,year +2015,5|Copperbelt,urban_recycling_rate_baseline,0.4612,year +2015,6|Lusaka,urban_recycling_rate_baseline,0.0,year +2015,7|Lusaka,urban_recycling_rate_baseline,0.2632,year +2015,8|North-Western,urban_recycling_rate_baseline,0.42200000000000004,year +2015,9|Western,urban_recycling_rate_baseline,0.17959999999999998,year +2020,10|Lusaka,urban_recycling_rate_baseline,0.3712,year +2020,11|Southern,urban_recycling_rate_baseline,0.236,year +2020,12|Western,urban_recycling_rate_baseline,0.0,year +2020,13|North-Western,urban_recycling_rate_baseline,0.2056,year +2020,14|Southern,urban_recycling_rate_baseline,0.0,year +2020,15|Luapula,urban_recycling_rate_baseline,0.2184,year +2020,16|Muchinga,urban_recycling_rate_baseline,0.2128,year +2020,17|Northern,urban_recycling_rate_baseline,0.2024,year +2020,18|Northern,urban_recycling_rate_baseline,0.0,year +2020,19|Central,urban_recycling_rate_baseline,0.0,year +2020,1|Eastern,urban_recycling_rate_baseline,0.22,year +2020,20|Northern,urban_recycling_rate_baseline,0.0,year +2020,21|Eastern,urban_recycling_rate_baseline,0.2088,year +2020,22|Southern,urban_recycling_rate_baseline,0.2088,year +2020,23|Muchinga,urban_recycling_rate_baseline,0.3296,year +2020,24|Central,urban_recycling_rate_baseline,0.2024,year +2020,2|Central,urban_recycling_rate_baseline,0.4544,year +2020,3|Lusaka,urban_recycling_rate_baseline,0.28,year +2020,4|Central,urban_recycling_rate_baseline,0.296,year +2020,5|Copperbelt,urban_recycling_rate_baseline,0.4728,year +2020,6|Lusaka,urban_recycling_rate_baseline,0.0,year +2020,7|Lusaka,urban_recycling_rate_baseline,0.2608,year +2020,8|North-Western,urban_recycling_rate_baseline,0.4328,year +2020,9|Western,urban_recycling_rate_baseline,0.1848,year +2025,10|Lusaka,urban_recycling_rate_baseline,0.354,year +2025,11|Southern,urban_recycling_rate_baseline,0.2948,year +2025,12|Western,urban_recycling_rate_baseline,0.0,year +2025,13|North-Western,urban_recycling_rate_baseline,0.2724,year +2025,14|Southern,urban_recycling_rate_baseline,0.0,year +2025,15|Luapula,urban_recycling_rate_baseline,0.2804,year +2025,16|Muchinga,urban_recycling_rate_baseline,0.276,year +2025,17|Northern,urban_recycling_rate_baseline,0.2708,year +2025,18|Northern,urban_recycling_rate_baseline,0.1608,year +2025,19|Central,urban_recycling_rate_baseline,0.0,year +2025,1|Eastern,urban_recycling_rate_baseline,0.2816,year +2025,20|Northern,urban_recycling_rate_baseline,0.0,year +2025,21|Eastern,urban_recycling_rate_baseline,0.2752,year +2025,22|Southern,urban_recycling_rate_baseline,0.2748,year +2025,23|Muchinga,urban_recycling_rate_baseline,0.34640000000000004,year +2025,24|Central,urban_recycling_rate_baseline,0.27,year +2025,2|Central,urban_recycling_rate_baseline,0.4712,year +2025,3|Lusaka,urban_recycling_rate_baseline,0.3308,year +2025,4|Central,urban_recycling_rate_baseline,0.3412,year +2025,5|Copperbelt,urban_recycling_rate_baseline,0.4824,year +2025,6|Lusaka,urban_recycling_rate_baseline,0.0,year +2025,7|Lusaka,urban_recycling_rate_baseline,0.3156,year +2025,8|North-Western,urban_recycling_rate_baseline,0.4172,year +2025,9|Western,urban_recycling_rate_baseline,0.2832,year +2030,10|Lusaka,urban_recycling_rate_baseline,0.3368,year +2030,11|Southern,urban_recycling_rate_baseline,0.3536,year +2030,12|Western,urban_recycling_rate_baseline,0.0,year +2030,13|North-Western,urban_recycling_rate_baseline,0.3392,year +2030,14|Southern,urban_recycling_rate_baseline,0.0,year +2030,15|Luapula,urban_recycling_rate_baseline,0.3424,year +2030,16|Muchinga,urban_recycling_rate_baseline,0.3392,year +2030,17|Northern,urban_recycling_rate_baseline,0.3392,year +2030,18|Northern,urban_recycling_rate_baseline,0.3216,year +2030,19|Central,urban_recycling_rate_baseline,0.0,year +2030,1|Eastern,urban_recycling_rate_baseline,0.3432,year +2030,20|Northern,urban_recycling_rate_baseline,0.0,year +2030,21|Eastern,urban_recycling_rate_baseline,0.3416,year +2030,22|Southern,urban_recycling_rate_baseline,0.3408,year +2030,23|Muchinga,urban_recycling_rate_baseline,0.3632,year +2030,24|Central,urban_recycling_rate_baseline,0.3376,year +2030,2|Central,urban_recycling_rate_baseline,0.488,year +2030,3|Lusaka,urban_recycling_rate_baseline,0.3816,year +2030,4|Central,urban_recycling_rate_baseline,0.3864,year +2030,5|Copperbelt,urban_recycling_rate_baseline,0.492,year +2030,6|Lusaka,urban_recycling_rate_baseline,0.0,year +2030,7|Lusaka,urban_recycling_rate_baseline,0.3704,year +2030,8|North-Western,urban_recycling_rate_baseline,0.4016,year +2030,9|Western,urban_recycling_rate_baseline,0.3816,year +2035,10|Lusaka,urban_recycling_rate_baseline,0.38880000000000003,year +2035,11|Southern,urban_recycling_rate_baseline,0.4156,year +2035,12|Western,urban_recycling_rate_baseline,0.0,year +2035,13|North-Western,urban_recycling_rate_baseline,0.4092,year +2035,14|Southern,urban_recycling_rate_baseline,0.0,year +2035,15|Luapula,urban_recycling_rate_baseline,0.4108,year +2035,16|Muchinga,urban_recycling_rate_baseline,0.40800000000000003,year +2035,17|Northern,urban_recycling_rate_baseline,0.4092,year +2035,18|Northern,urban_recycling_rate_baseline,0.39080000000000004,year +2035,19|Central,urban_recycling_rate_baseline,0.0,year +2035,1|Eastern,urban_recycling_rate_baseline,0.40959999999999996,year +2035,20|Northern,urban_recycling_rate_baseline,0.0,year +2035,21|Eastern,urban_recycling_rate_baseline,0.4104,year +2035,22|Southern,urban_recycling_rate_baseline,0.4104,year +2035,23|Muchinga,urban_recycling_rate_baseline,0.3956,year +2035,24|Central,urban_recycling_rate_baseline,0.4092,year +2035,2|Central,urban_recycling_rate_baseline,0.5272,year +2035,3|Lusaka,urban_recycling_rate_baseline,0.44599999999999995,year +2035,4|Central,urban_recycling_rate_baseline,0.4464,year +2035,5|Copperbelt,urban_recycling_rate_baseline,0.53,year +2035,6|Lusaka,urban_recycling_rate_baseline,0.2368,year +2035,7|Lusaka,urban_recycling_rate_baseline,0.44079999999999997,year +2035,8|North-Western,urban_recycling_rate_baseline,0.4152,year +2035,9|Western,urban_recycling_rate_baseline,0.4548,year +2040,10|Lusaka,urban_recycling_rate_baseline,0.4408,year +2040,11|Southern,urban_recycling_rate_baseline,0.4776,year +2040,12|Western,urban_recycling_rate_baseline,0.0,year +2040,13|North-Western,urban_recycling_rate_baseline,0.4792,year +2040,14|Southern,urban_recycling_rate_baseline,0.0,year +2040,15|Luapula,urban_recycling_rate_baseline,0.4792,year +2040,16|Muchinga,urban_recycling_rate_baseline,0.4768,year +2040,17|Northern,urban_recycling_rate_baseline,0.4792,year +2040,18|Northern,urban_recycling_rate_baseline,0.46,year +2040,19|Central,urban_recycling_rate_baseline,0.0,year +2040,1|Eastern,urban_recycling_rate_baseline,0.476,year +2040,20|Northern,urban_recycling_rate_baseline,0.0,year +2040,21|Eastern,urban_recycling_rate_baseline,0.4792,year +2040,22|Southern,urban_recycling_rate_baseline,0.48,year +2040,23|Muchinga,urban_recycling_rate_baseline,0.428,year +2040,24|Central,urban_recycling_rate_baseline,0.4808,year +2040,2|Central,urban_recycling_rate_baseline,0.5664,year +2040,3|Lusaka,urban_recycling_rate_baseline,0.5104,year +2040,4|Central,urban_recycling_rate_baseline,0.5064,year +2040,5|Copperbelt,urban_recycling_rate_baseline,0.568,year +2040,6|Lusaka,urban_recycling_rate_baseline,0.4736,year +2040,7|Lusaka,urban_recycling_rate_baseline,0.5112,year +2040,8|North-Western,urban_recycling_rate_baseline,0.4288,year +2040,9|Western,urban_recycling_rate_baseline,0.528,year +2045,10|Lusaka,urban_recycling_rate_baseline,0.498,year +2045,11|Southern,urban_recycling_rate_baseline,0.5388,year +2045,12|Western,urban_recycling_rate_baseline,0.0,year +2045,13|North-Western,urban_recycling_rate_baseline,0.546,year +2045,14|Southern,urban_recycling_rate_baseline,0.0,year +2045,15|Luapula,urban_recycling_rate_baseline,0.5456,year +2045,16|Muchinga,urban_recycling_rate_baseline,0.534,year +2045,17|Northern,urban_recycling_rate_baseline,0.546,year +2045,18|Northern,urban_recycling_rate_baseline,0.528,year +2045,19|Central,urban_recycling_rate_baseline,0.0,year +2045,1|Eastern,urban_recycling_rate_baseline,0.5384,year +2045,20|Northern,urban_recycling_rate_baseline,0.2896,year +2045,21|Eastern,urban_recycling_rate_baseline,0.5452,year +2045,22|Southern,urban_recycling_rate_baseline,0.5468,year +2045,23|Muchinga,urban_recycling_rate_baseline,0.476,year +2045,24|Central,urban_recycling_rate_baseline,0.5472,year +2045,2|Central,urban_recycling_rate_baseline,0.6155999999999999,year +2045,3|Lusaka,urban_recycling_rate_baseline,0.5696,year +2045,4|Central,urban_recycling_rate_baseline,0.5668,year +2045,5|Copperbelt,urban_recycling_rate_baseline,0.616,year +2045,6|Lusaka,urban_recycling_rate_baseline,0.5416000000000001,year +2045,7|Lusaka,urban_recycling_rate_baseline,0.5708,year +2045,8|North-Western,urban_recycling_rate_baseline,0.4696,year +2045,9|Western,urban_recycling_rate_baseline,0.5716,year +2050,10|Lusaka,urban_recycling_rate_baseline,0.5552,year +2050,11|Southern,urban_recycling_rate_baseline,0.6,year +2050,12|Western,urban_recycling_rate_baseline,0.0,year +2050,13|North-Western,urban_recycling_rate_baseline,0.6128,year +2050,14|Southern,urban_recycling_rate_baseline,0.0,year +2050,15|Luapula,urban_recycling_rate_baseline,0.612,year +2050,16|Muchinga,urban_recycling_rate_baseline,0.5912,year +2050,17|Northern,urban_recycling_rate_baseline,0.6128,year +2050,18|Northern,urban_recycling_rate_baseline,0.596,year +2050,19|Central,urban_recycling_rate_baseline,0.0,year +2050,1|Eastern,urban_recycling_rate_baseline,0.6008,year +2050,20|Northern,urban_recycling_rate_baseline,0.5792,year +2050,21|Eastern,urban_recycling_rate_baseline,0.6112,year +2050,22|Southern,urban_recycling_rate_baseline,0.6136,year +2050,23|Muchinga,urban_recycling_rate_baseline,0.524,year +2050,24|Central,urban_recycling_rate_baseline,0.6136,year +2050,2|Central,urban_recycling_rate_baseline,0.6648,year +2050,3|Lusaka,urban_recycling_rate_baseline,0.6288,year +2050,4|Central,urban_recycling_rate_baseline,0.6272,year +2050,5|Copperbelt,urban_recycling_rate_baseline,0.664,year +2050,6|Lusaka,urban_recycling_rate_baseline,0.6096,year +2050,7|Lusaka,urban_recycling_rate_baseline,0.6304,year +2050,8|North-Western,urban_recycling_rate_baseline,0.5104,year +2050,9|Western,urban_recycling_rate_baseline,0.6152,year +2055,10|Lusaka,urban_recycling_rate_baseline,0.6036,year +2055,11|Southern,urban_recycling_rate_baseline,0.6448,year +2055,12|Western,urban_recycling_rate_baseline,0.3592,year +2055,13|North-Western,urban_recycling_rate_baseline,0.6108,year +2055,14|Southern,urban_recycling_rate_baseline,0.3592,year +2055,15|Luapula,urban_recycling_rate_baseline,0.6579999999999999,year +2055,16|Muchinga,urban_recycling_rate_baseline,0.6428,year +2055,17|Northern,urban_recycling_rate_baseline,0.6588,year +2055,18|Northern,urban_recycling_rate_baseline,0.6459999999999999,year +2055,19|Central,urban_recycling_rate_baseline,0.0,year +2055,1|Eastern,urban_recycling_rate_baseline,0.6468,year +2055,20|Northern,urban_recycling_rate_baseline,0.6316,year +2055,21|Eastern,urban_recycling_rate_baseline,0.6568,year +2055,22|Southern,urban_recycling_rate_baseline,0.6596,year +2055,23|Muchinga,urban_recycling_rate_baseline,0.6056,year +2055,24|Central,urban_recycling_rate_baseline,0.6596,year +2055,2|Central,urban_recycling_rate_baseline,0.7003999999999999,year +2055,3|Lusaka,urban_recycling_rate_baseline,0.6708000000000001,year +2055,4|Central,urban_recycling_rate_baseline,0.6704,year +2055,5|Copperbelt,urban_recycling_rate_baseline,0.6996,year +2055,6|Lusaka,urban_recycling_rate_baseline,0.6564000000000001,year +2055,7|Lusaka,urban_recycling_rate_baseline,0.6728,year +2055,8|North-Western,urban_recycling_rate_baseline,0.5676,year +2055,9|Western,urban_recycling_rate_baseline,0.6608,year +2060,10|Lusaka,urban_recycling_rate_baseline,0.652,year +2060,11|Southern,urban_recycling_rate_baseline,0.6896,year +2060,12|Western,urban_recycling_rate_baseline,0.7184,year +2060,13|North-Western,urban_recycling_rate_baseline,0.6088,year +2060,14|Southern,urban_recycling_rate_baseline,0.7184,year +2060,15|Luapula,urban_recycling_rate_baseline,0.704,year +2060,16|Muchinga,urban_recycling_rate_baseline,0.6944,year +2060,17|Northern,urban_recycling_rate_baseline,0.7048,year +2060,18|Northern,urban_recycling_rate_baseline,0.696,year +2060,19|Central,urban_recycling_rate_baseline,0.0,year +2060,1|Eastern,urban_recycling_rate_baseline,0.6928,year +2060,20|Northern,urban_recycling_rate_baseline,0.684,year +2060,21|Eastern,urban_recycling_rate_baseline,0.7024,year +2060,22|Southern,urban_recycling_rate_baseline,0.7056,year +2060,23|Muchinga,urban_recycling_rate_baseline,0.6872,year +2060,24|Central,urban_recycling_rate_baseline,0.7056,year +2060,2|Central,urban_recycling_rate_baseline,0.736,year +2060,3|Lusaka,urban_recycling_rate_baseline,0.7128,year +2060,4|Central,urban_recycling_rate_baseline,0.7136,year +2060,5|Copperbelt,urban_recycling_rate_baseline,0.7352,year +2060,6|Lusaka,urban_recycling_rate_baseline,0.7032,year +2060,7|Lusaka,urban_recycling_rate_baseline,0.7152,year +2060,8|North-Western,urban_recycling_rate_baseline,0.6248,year +2060,9|Western,urban_recycling_rate_baseline,0.7064,year +2070,10|Lusaka,urban_recycling_rate_baseline,0.7224,year +2070,11|Southern,urban_recycling_rate_baseline,0.7384,year +2070,12|Western,urban_recycling_rate_baseline,0.7512,year +2070,13|North-Western,urban_recycling_rate_baseline,0.716,year +2070,14|Southern,urban_recycling_rate_baseline,0.7512,year +2070,15|Luapula,urban_recycling_rate_baseline,0.7512,year +2070,16|Muchinga,urban_recycling_rate_baseline,0.7488,year +2070,17|Northern,urban_recycling_rate_baseline,0.7512,year +2070,18|Northern,urban_recycling_rate_baseline,0.7504,year +2070,19|Central,urban_recycling_rate_baseline,0.0,year +2070,1|Eastern,urban_recycling_rate_baseline,0.748,year +2070,20|Northern,urban_recycling_rate_baseline,0.744,year +2070,21|Eastern,urban_recycling_rate_baseline,0.7504,year +2070,22|Southern,urban_recycling_rate_baseline,0.7512,year +2070,23|Muchinga,urban_recycling_rate_baseline,0.7464,year +2070,24|Central,urban_recycling_rate_baseline,0.7512,year +2070,2|Central,urban_recycling_rate_baseline,0.7696,year +2070,3|Lusaka,urban_recycling_rate_baseline,0.756,year +2070,4|Central,urban_recycling_rate_baseline,0.756,year +2070,5|Copperbelt,urban_recycling_rate_baseline,0.7696,year +2070,6|Lusaka,urban_recycling_rate_baseline,0.7504,year +2070,7|Lusaka,urban_recycling_rate_baseline,0.7576,year +2070,8|North-Western,urban_recycling_rate_baseline,0.7248,year +2070,9|Western,urban_recycling_rate_baseline,0.7512,year +2080,10|Lusaka,urban_recycling_rate_baseline,0.764,year +2080,11|Southern,urban_recycling_rate_baseline,0.7664,year +2080,12|Western,urban_recycling_rate_baseline,0.7704,year +2080,13|North-Western,urban_recycling_rate_baseline,0.7664,year +2080,14|Southern,urban_recycling_rate_baseline,0.7704,year +2080,15|Luapula,urban_recycling_rate_baseline,0.7728,year +2080,16|Muchinga,urban_recycling_rate_baseline,0.772,year +2080,17|Northern,urban_recycling_rate_baseline,0.772,year +2080,18|Northern,urban_recycling_rate_baseline,0.772,year +2080,19|Central,urban_recycling_rate_baseline,0.0,year +2080,1|Eastern,urban_recycling_rate_baseline,0.7744,year +2080,20|Northern,urban_recycling_rate_baseline,0.7712,year +2080,21|Eastern,urban_recycling_rate_baseline,0.7728,year +2080,22|Southern,urban_recycling_rate_baseline,0.772,year +2080,23|Muchinga,urban_recycling_rate_baseline,0.7728,year +2080,24|Central,urban_recycling_rate_baseline,0.772,year +2080,2|Central,urban_recycling_rate_baseline,0.7832,year +2080,3|Lusaka,urban_recycling_rate_baseline,0.776,year +2080,4|Central,urban_recycling_rate_baseline,0.7752,year +2080,5|Copperbelt,urban_recycling_rate_baseline,0.784,year +2080,6|Lusaka,urban_recycling_rate_baseline,0.7712,year +2080,7|Lusaka,urban_recycling_rate_baseline,0.776,year +2080,8|North-Western,urban_recycling_rate_baseline,0.7728,year +2080,9|Western,urban_recycling_rate_baseline,0.772,year +2090,10|Lusaka,urban_recycling_rate_baseline,0.7824,year +2090,11|Southern,urban_recycling_rate_baseline,0.7816,year +2090,12|Western,urban_recycling_rate_baseline,0.7824,year +2090,13|North-Western,urban_recycling_rate_baseline,0.784,year +2090,14|Southern,urban_recycling_rate_baseline,0.7824,year +2090,15|Luapula,urban_recycling_rate_baseline,0.784,year +2090,16|Muchinga,urban_recycling_rate_baseline,0.784,year +2090,17|Northern,urban_recycling_rate_baseline,0.7832,year +2090,18|Northern,urban_recycling_rate_baseline,0.7832,year +2090,19|Central,urban_recycling_rate_baseline,0.0,year +2090,1|Eastern,urban_recycling_rate_baseline,0.7864,year +2090,20|Northern,urban_recycling_rate_baseline,0.7832,year +2090,21|Eastern,urban_recycling_rate_baseline,0.784,year +2090,22|Southern,urban_recycling_rate_baseline,0.7832,year +2090,23|Muchinga,urban_recycling_rate_baseline,0.7848,year +2090,24|Central,urban_recycling_rate_baseline,0.7832,year +2090,2|Central,urban_recycling_rate_baseline,0.7904,year +2090,3|Lusaka,urban_recycling_rate_baseline,0.7864,year +2090,4|Central,urban_recycling_rate_baseline,0.7848,year +2090,5|Copperbelt,urban_recycling_rate_baseline,0.7904,year +2090,6|Lusaka,urban_recycling_rate_baseline,0.7832,year +2090,7|Lusaka,urban_recycling_rate_baseline,0.7864,year +2090,8|North-Western,urban_recycling_rate_baseline,0.788,year +2090,9|Western,urban_recycling_rate_baseline,0.7832,year +2100,10|Lusaka,urban_recycling_rate_baseline,0.792,year +2100,11|Southern,urban_recycling_rate_baseline,0.792,year +2100,12|Western,urban_recycling_rate_baseline,0.792,year +2100,13|North-Western,urban_recycling_rate_baseline,0.792,year +2100,14|Southern,urban_recycling_rate_baseline,0.792,year +2100,15|Luapula,urban_recycling_rate_baseline,0.792,year +2100,16|Muchinga,urban_recycling_rate_baseline,0.792,year +2100,17|Northern,urban_recycling_rate_baseline,0.792,year +2100,18|Northern,urban_recycling_rate_baseline,0.792,year +2100,19|Central,urban_recycling_rate_baseline,0.0,year +2100,1|Eastern,urban_recycling_rate_baseline,0.792,year +2100,20|Northern,urban_recycling_rate_baseline,0.792,year +2100,21|Eastern,urban_recycling_rate_baseline,0.792,year +2100,22|Southern,urban_recycling_rate_baseline,0.792,year +2100,23|Muchinga,urban_recycling_rate_baseline,0.792,year +2100,24|Central,urban_recycling_rate_baseline,0.792,year +2100,2|Central,urban_recycling_rate_baseline,0.792,year +2100,3|Lusaka,urban_recycling_rate_baseline,0.792,year +2100,4|Central,urban_recycling_rate_baseline,0.792,year +2100,5|Copperbelt,urban_recycling_rate_baseline,0.792,year +2100,6|Lusaka,urban_recycling_rate_baseline,0.792,year +2100,7|Lusaka,urban_recycling_rate_baseline,0.792,year +2100,8|North-Western,urban_recycling_rate_baseline,0.792,year +2100,9|Western,urban_recycling_rate_baseline,0.792,year +2110,10|Lusaka,urban_recycling_rate_baseline,0.792,year +2110,11|Southern,urban_recycling_rate_baseline,0.792,year +2110,12|Western,urban_recycling_rate_baseline,0.792,year +2110,13|North-Western,urban_recycling_rate_baseline,0.792,year +2110,14|Southern,urban_recycling_rate_baseline,0.792,year +2110,15|Luapula,urban_recycling_rate_baseline,0.792,year +2110,16|Muchinga,urban_recycling_rate_baseline,0.792,year +2110,17|Northern,urban_recycling_rate_baseline,0.792,year +2110,18|Northern,urban_recycling_rate_baseline,0.792,year +2110,19|Central,urban_recycling_rate_baseline,0.0,year +2110,1|Eastern,urban_recycling_rate_baseline,0.792,year +2110,20|Northern,urban_recycling_rate_baseline,0.792,year +2110,21|Eastern,urban_recycling_rate_baseline,0.792,year +2110,22|Southern,urban_recycling_rate_baseline,0.792,year +2110,23|Muchinga,urban_recycling_rate_baseline,0.792,year +2110,24|Central,urban_recycling_rate_baseline,0.792,year +2110,2|Central,urban_recycling_rate_baseline,0.792,year +2110,3|Lusaka,urban_recycling_rate_baseline,0.792,year +2110,4|Central,urban_recycling_rate_baseline,0.792,year +2110,5|Copperbelt,urban_recycling_rate_baseline,0.792,year +2110,6|Lusaka,urban_recycling_rate_baseline,0.792,year +2110,7|Lusaka,urban_recycling_rate_baseline,0.792,year +2110,8|North-Western,urban_recycling_rate_baseline,0.792,year +2110,9|Western,urban_recycling_rate_baseline,0.792,year +2010,10|Lusaka,urban_connection_rate_ambitious,0.627,year +2010,11|Southern,urban_connection_rate_ambitious,0.523,year +2010,12|Western,urban_connection_rate_ambitious,0.0,year +2010,13|North-Western,urban_connection_rate_ambitious,0.453,year +2010,14|Southern,urban_connection_rate_ambitious,0.0,year +2010,15|Luapula,urban_connection_rate_ambitious,0.428,year +2010,16|Muchinga,urban_connection_rate_ambitious,0.5,year +2010,17|Northern,urban_connection_rate_ambitious,0.49,year +2010,18|Northern,urban_connection_rate_ambitious,0.0,year +2010,19|Central,urban_connection_rate_ambitious,0.0,year +2010,1|Eastern,urban_connection_rate_ambitious,0.525,year +2010,20|Northern,urban_connection_rate_ambitious,0.0,year +2010,21|Eastern,urban_connection_rate_ambitious,0.494,year +2010,22|Southern,urban_connection_rate_ambitious,0.497,year +2010,23|Muchinga,urban_connection_rate_ambitious,0.648,year +2010,24|Central,urban_connection_rate_ambitious,0.49,year +2010,2|Central,urban_connection_rate_ambitious,0.746,year +2010,3|Lusaka,urban_connection_rate_ambitious,0.569,year +2010,4|Central,urban_connection_rate_ambitious,0.588,year +2010,5|Copperbelt,urban_connection_rate_ambitious,0.766,year +2010,6|Lusaka,urban_connection_rate_ambitious,0.0,year +2010,7|Lusaka,urban_connection_rate_ambitious,0.569,year +2010,8|North-Western,urban_connection_rate_ambitious,0.782,year +2010,9|Western,urban_connection_rate_ambitious,0.654,year +2015,10|Lusaka,urban_connection_rate_ambitious,0.6435,year +2015,11|Southern,urban_connection_rate_ambitious,0.5345,year +2015,12|Western,urban_connection_rate_ambitious,0.0,year +2015,13|North-Western,urban_connection_rate_ambitious,0.46499999999999997,year +2015,14|Southern,urban_connection_rate_ambitious,0.0,year +2015,15|Luapula,urban_connection_rate_ambitious,0.4395,year +2015,16|Muchinga,urban_connection_rate_ambitious,0.5155000000000001,year +2015,17|Northern,urban_connection_rate_ambitious,0.503,year +2015,18|Northern,urban_connection_rate_ambitious,0.0,year +2015,19|Central,urban_connection_rate_ambitious,0.0,year +2015,1|Eastern,urban_connection_rate_ambitious,0.535,year +2015,20|Northern,urban_connection_rate_ambitious,0.0,year +2015,21|Eastern,urban_connection_rate_ambitious,0.5085,year +2015,22|Southern,urban_connection_rate_ambitious,0.5095000000000001,year +2015,23|Muchinga,urban_connection_rate_ambitious,0.6605000000000001,year +2015,24|Central,urban_connection_rate_ambitious,0.503,year +2015,2|Central,urban_connection_rate_ambitious,0.7655000000000001,year +2015,3|Lusaka,urban_connection_rate_ambitious,0.584,year +2015,4|Central,urban_connection_rate_ambitious,0.602,year +2015,5|Copperbelt,urban_connection_rate_ambitious,0.7855000000000001,year +2015,6|Lusaka,urban_connection_rate_ambitious,0.0,year +2015,7|Lusaka,urban_connection_rate_ambitious,0.5734999999999999,year +2015,8|North-Western,urban_connection_rate_ambitious,0.8029999999999999,year +2015,9|Western,urban_connection_rate_ambitious,0.6695,year +2020,10|Lusaka,urban_connection_rate_ambitious,0.66,year +2020,11|Southern,urban_connection_rate_ambitious,0.546,year +2020,12|Western,urban_connection_rate_ambitious,0.0,year +2020,13|North-Western,urban_connection_rate_ambitious,0.477,year +2020,14|Southern,urban_connection_rate_ambitious,0.0,year +2020,15|Luapula,urban_connection_rate_ambitious,0.451,year +2020,16|Muchinga,urban_connection_rate_ambitious,0.531,year +2020,17|Northern,urban_connection_rate_ambitious,0.516,year +2020,18|Northern,urban_connection_rate_ambitious,0.0,year +2020,19|Central,urban_connection_rate_ambitious,0.0,year +2020,1|Eastern,urban_connection_rate_ambitious,0.545,year +2020,20|Northern,urban_connection_rate_ambitious,0.0,year +2020,21|Eastern,urban_connection_rate_ambitious,0.523,year +2020,22|Southern,urban_connection_rate_ambitious,0.522,year +2020,23|Muchinga,urban_connection_rate_ambitious,0.673,year +2020,24|Central,urban_connection_rate_ambitious,0.516,year +2020,2|Central,urban_connection_rate_ambitious,0.785,year +2020,3|Lusaka,urban_connection_rate_ambitious,0.599,year +2020,4|Central,urban_connection_rate_ambitious,0.616,year +2020,5|Copperbelt,urban_connection_rate_ambitious,0.805,year +2020,6|Lusaka,urban_connection_rate_ambitious,0.0,year +2020,7|Lusaka,urban_connection_rate_ambitious,0.578,year +2020,8|North-Western,urban_connection_rate_ambitious,0.824,year +2020,9|Western,urban_connection_rate_ambitious,0.685,year +2025,10|Lusaka,urban_connection_rate_ambitious,0.825,year +2025,11|Southern,urban_connection_rate_ambitious,0.768,year +2025,12|Western,urban_connection_rate_ambitious,0.0,year +2025,13|North-Western,urban_connection_rate_ambitious,0.7335,year +2025,14|Southern,urban_connection_rate_ambitious,0.0,year +2025,15|Luapula,urban_connection_rate_ambitious,0.7204999999999999,year +2025,16|Muchinga,urban_connection_rate_ambitious,0.7605,year +2025,17|Northern,urban_connection_rate_ambitious,0.753,year +2025,18|Northern,urban_connection_rate_ambitious,0.495,year +2025,19|Central,urban_connection_rate_ambitious,0.0,year +2025,1|Eastern,urban_connection_rate_ambitious,0.7675000000000001,year +2025,20|Northern,urban_connection_rate_ambitious,0.0,year +2025,21|Eastern,urban_connection_rate_ambitious,0.7565,year +2025,22|Southern,urban_connection_rate_ambitious,0.756,year +2025,23|Muchinga,urban_connection_rate_ambitious,0.8315,year +2025,24|Central,urban_connection_rate_ambitious,0.753,year +2025,2|Central,urban_connection_rate_ambitious,0.8875,year +2025,3|Lusaka,urban_connection_rate_ambitious,0.7945,year +2025,4|Central,urban_connection_rate_ambitious,0.8029999999999999,year +2025,5|Copperbelt,urban_connection_rate_ambitious,0.8975,year +2025,6|Lusaka,urban_connection_rate_ambitious,0.0,year +2025,7|Lusaka,urban_connection_rate_ambitious,0.784,year +2025,8|North-Western,urban_connection_rate_ambitious,0.907,year +2025,9|Western,urban_connection_rate_ambitious,0.8375,year +2030,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2030,11|Southern,urban_connection_rate_ambitious,0.99,year +2030,12|Western,urban_connection_rate_ambitious,0.0,year +2030,13|North-Western,urban_connection_rate_ambitious,0.99,year +2030,14|Southern,urban_connection_rate_ambitious,0.0,year +2030,15|Luapula,urban_connection_rate_ambitious,0.99,year +2030,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2030,17|Northern,urban_connection_rate_ambitious,0.99,year +2030,18|Northern,urban_connection_rate_ambitious,0.99,year +2030,19|Central,urban_connection_rate_ambitious,0.0,year +2030,1|Eastern,urban_connection_rate_ambitious,0.99,year +2030,20|Northern,urban_connection_rate_ambitious,0.0,year +2030,21|Eastern,urban_connection_rate_ambitious,0.99,year +2030,22|Southern,urban_connection_rate_ambitious,0.99,year +2030,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2030,24|Central,urban_connection_rate_ambitious,0.99,year +2030,2|Central,urban_connection_rate_ambitious,0.99,year +2030,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2030,4|Central,urban_connection_rate_ambitious,0.99,year +2030,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2030,6|Lusaka,urban_connection_rate_ambitious,0.0,year +2030,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2030,8|North-Western,urban_connection_rate_ambitious,0.99,year +2030,9|Western,urban_connection_rate_ambitious,0.99,year +2035,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2035,11|Southern,urban_connection_rate_ambitious,0.99,year +2035,12|Western,urban_connection_rate_ambitious,0.0,year +2035,13|North-Western,urban_connection_rate_ambitious,0.99,year +2035,14|Southern,urban_connection_rate_ambitious,0.0,year +2035,15|Luapula,urban_connection_rate_ambitious,0.99,year +2035,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2035,17|Northern,urban_connection_rate_ambitious,0.99,year +2035,18|Northern,urban_connection_rate_ambitious,0.99,year +2035,19|Central,urban_connection_rate_ambitious,0.0,year +2035,1|Eastern,urban_connection_rate_ambitious,0.99,year +2035,20|Northern,urban_connection_rate_ambitious,0.0,year +2035,21|Eastern,urban_connection_rate_ambitious,0.99,year +2035,22|Southern,urban_connection_rate_ambitious,0.99,year +2035,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2035,24|Central,urban_connection_rate_ambitious,0.99,year +2035,2|Central,urban_connection_rate_ambitious,0.99,year +2035,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2035,4|Central,urban_connection_rate_ambitious,0.99,year +2035,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2035,6|Lusaka,urban_connection_rate_ambitious,0.495,year +2035,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2035,8|North-Western,urban_connection_rate_ambitious,0.99,year +2035,9|Western,urban_connection_rate_ambitious,0.99,year +2040,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2040,11|Southern,urban_connection_rate_ambitious,0.99,year +2040,12|Western,urban_connection_rate_ambitious,0.0,year +2040,13|North-Western,urban_connection_rate_ambitious,0.99,year +2040,14|Southern,urban_connection_rate_ambitious,0.0,year +2040,15|Luapula,urban_connection_rate_ambitious,0.99,year +2040,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2040,17|Northern,urban_connection_rate_ambitious,0.99,year +2040,18|Northern,urban_connection_rate_ambitious,0.99,year +2040,19|Central,urban_connection_rate_ambitious,0.0,year +2040,1|Eastern,urban_connection_rate_ambitious,0.99,year +2040,20|Northern,urban_connection_rate_ambitious,0.0,year +2040,21|Eastern,urban_connection_rate_ambitious,0.99,year +2040,22|Southern,urban_connection_rate_ambitious,0.99,year +2040,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2040,24|Central,urban_connection_rate_ambitious,0.99,year +2040,2|Central,urban_connection_rate_ambitious,0.99,year +2040,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2040,4|Central,urban_connection_rate_ambitious,0.99,year +2040,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2040,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2040,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2040,8|North-Western,urban_connection_rate_ambitious,0.99,year +2040,9|Western,urban_connection_rate_ambitious,0.99,year +2045,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2045,11|Southern,urban_connection_rate_ambitious,0.99,year +2045,12|Western,urban_connection_rate_ambitious,0.0,year +2045,13|North-Western,urban_connection_rate_ambitious,0.99,year +2045,14|Southern,urban_connection_rate_ambitious,0.0,year +2045,15|Luapula,urban_connection_rate_ambitious,0.99,year +2045,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2045,17|Northern,urban_connection_rate_ambitious,0.99,year +2045,18|Northern,urban_connection_rate_ambitious,0.99,year +2045,19|Central,urban_connection_rate_ambitious,0.0,year +2045,1|Eastern,urban_connection_rate_ambitious,0.99,year +2045,20|Northern,urban_connection_rate_ambitious,0.495,year +2045,21|Eastern,urban_connection_rate_ambitious,0.99,year +2045,22|Southern,urban_connection_rate_ambitious,0.99,year +2045,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2045,24|Central,urban_connection_rate_ambitious,0.99,year +2045,2|Central,urban_connection_rate_ambitious,0.99,year +2045,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2045,4|Central,urban_connection_rate_ambitious,0.99,year +2045,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2045,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2045,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2045,8|North-Western,urban_connection_rate_ambitious,0.99,year +2045,9|Western,urban_connection_rate_ambitious,0.99,year +2050,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2050,11|Southern,urban_connection_rate_ambitious,0.99,year +2050,12|Western,urban_connection_rate_ambitious,0.0,year +2050,13|North-Western,urban_connection_rate_ambitious,0.99,year +2050,14|Southern,urban_connection_rate_ambitious,0.0,year +2050,15|Luapula,urban_connection_rate_ambitious,0.99,year +2050,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2050,17|Northern,urban_connection_rate_ambitious,0.99,year +2050,18|Northern,urban_connection_rate_ambitious,0.99,year +2050,19|Central,urban_connection_rate_ambitious,0.0,year +2050,1|Eastern,urban_connection_rate_ambitious,0.99,year +2050,20|Northern,urban_connection_rate_ambitious,0.99,year +2050,21|Eastern,urban_connection_rate_ambitious,0.99,year +2050,22|Southern,urban_connection_rate_ambitious,0.99,year +2050,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2050,24|Central,urban_connection_rate_ambitious,0.99,year +2050,2|Central,urban_connection_rate_ambitious,0.99,year +2050,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2050,4|Central,urban_connection_rate_ambitious,0.99,year +2050,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2050,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2050,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2050,8|North-Western,urban_connection_rate_ambitious,0.99,year +2050,9|Western,urban_connection_rate_ambitious,0.99,year +2055,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2055,11|Southern,urban_connection_rate_ambitious,0.99,year +2055,12|Western,urban_connection_rate_ambitious,0.495,year +2055,13|North-Western,urban_connection_rate_ambitious,0.99,year +2055,14|Southern,urban_connection_rate_ambitious,0.495,year +2055,15|Luapula,urban_connection_rate_ambitious,0.99,year +2055,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2055,17|Northern,urban_connection_rate_ambitious,0.99,year +2055,18|Northern,urban_connection_rate_ambitious,0.99,year +2055,19|Central,urban_connection_rate_ambitious,0.0,year +2055,1|Eastern,urban_connection_rate_ambitious,0.99,year +2055,20|Northern,urban_connection_rate_ambitious,0.99,year +2055,21|Eastern,urban_connection_rate_ambitious,0.99,year +2055,22|Southern,urban_connection_rate_ambitious,0.99,year +2055,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2055,24|Central,urban_connection_rate_ambitious,0.99,year +2055,2|Central,urban_connection_rate_ambitious,0.99,year +2055,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2055,4|Central,urban_connection_rate_ambitious,0.99,year +2055,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2055,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2055,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2055,8|North-Western,urban_connection_rate_ambitious,0.99,year +2055,9|Western,urban_connection_rate_ambitious,0.99,year +2060,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2060,11|Southern,urban_connection_rate_ambitious,0.99,year +2060,12|Western,urban_connection_rate_ambitious,0.99,year +2060,13|North-Western,urban_connection_rate_ambitious,0.99,year +2060,14|Southern,urban_connection_rate_ambitious,0.99,year +2060,15|Luapula,urban_connection_rate_ambitious,0.99,year +2060,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2060,17|Northern,urban_connection_rate_ambitious,0.99,year +2060,18|Northern,urban_connection_rate_ambitious,0.99,year +2060,19|Central,urban_connection_rate_ambitious,0.0,year +2060,1|Eastern,urban_connection_rate_ambitious,0.99,year +2060,20|Northern,urban_connection_rate_ambitious,0.99,year +2060,21|Eastern,urban_connection_rate_ambitious,0.99,year +2060,22|Southern,urban_connection_rate_ambitious,0.99,year +2060,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2060,24|Central,urban_connection_rate_ambitious,0.99,year +2060,2|Central,urban_connection_rate_ambitious,0.99,year +2060,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2060,4|Central,urban_connection_rate_ambitious,0.99,year +2060,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2060,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2060,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2060,8|North-Western,urban_connection_rate_ambitious,0.99,year +2060,9|Western,urban_connection_rate_ambitious,0.99,year +2070,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2070,11|Southern,urban_connection_rate_ambitious,0.99,year +2070,12|Western,urban_connection_rate_ambitious,0.99,year +2070,13|North-Western,urban_connection_rate_ambitious,0.99,year +2070,14|Southern,urban_connection_rate_ambitious,0.99,year +2070,15|Luapula,urban_connection_rate_ambitious,0.99,year +2070,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2070,17|Northern,urban_connection_rate_ambitious,0.99,year +2070,18|Northern,urban_connection_rate_ambitious,0.99,year +2070,19|Central,urban_connection_rate_ambitious,0.0,year +2070,1|Eastern,urban_connection_rate_ambitious,0.99,year +2070,20|Northern,urban_connection_rate_ambitious,0.99,year +2070,21|Eastern,urban_connection_rate_ambitious,0.99,year +2070,22|Southern,urban_connection_rate_ambitious,0.99,year +2070,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2070,24|Central,urban_connection_rate_ambitious,0.99,year +2070,2|Central,urban_connection_rate_ambitious,0.99,year +2070,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2070,4|Central,urban_connection_rate_ambitious,0.99,year +2070,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2070,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2070,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2070,8|North-Western,urban_connection_rate_ambitious,0.99,year +2070,9|Western,urban_connection_rate_ambitious,0.99,year +2080,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2080,11|Southern,urban_connection_rate_ambitious,0.99,year +2080,12|Western,urban_connection_rate_ambitious,0.99,year +2080,13|North-Western,urban_connection_rate_ambitious,0.99,year +2080,14|Southern,urban_connection_rate_ambitious,0.99,year +2080,15|Luapula,urban_connection_rate_ambitious,0.99,year +2080,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2080,17|Northern,urban_connection_rate_ambitious,0.99,year +2080,18|Northern,urban_connection_rate_ambitious,0.99,year +2080,19|Central,urban_connection_rate_ambitious,0.0,year +2080,1|Eastern,urban_connection_rate_ambitious,0.99,year +2080,20|Northern,urban_connection_rate_ambitious,0.99,year +2080,21|Eastern,urban_connection_rate_ambitious,0.99,year +2080,22|Southern,urban_connection_rate_ambitious,0.99,year +2080,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2080,24|Central,urban_connection_rate_ambitious,0.99,year +2080,2|Central,urban_connection_rate_ambitious,0.99,year +2080,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2080,4|Central,urban_connection_rate_ambitious,0.99,year +2080,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2080,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2080,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2080,8|North-Western,urban_connection_rate_ambitious,0.99,year +2080,9|Western,urban_connection_rate_ambitious,0.99,year +2090,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2090,11|Southern,urban_connection_rate_ambitious,0.99,year +2090,12|Western,urban_connection_rate_ambitious,0.99,year +2090,13|North-Western,urban_connection_rate_ambitious,0.99,year +2090,14|Southern,urban_connection_rate_ambitious,0.99,year +2090,15|Luapula,urban_connection_rate_ambitious,0.99,year +2090,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2090,17|Northern,urban_connection_rate_ambitious,0.99,year +2090,18|Northern,urban_connection_rate_ambitious,0.99,year +2090,19|Central,urban_connection_rate_ambitious,0.0,year +2090,1|Eastern,urban_connection_rate_ambitious,0.99,year +2090,20|Northern,urban_connection_rate_ambitious,0.99,year +2090,21|Eastern,urban_connection_rate_ambitious,0.99,year +2090,22|Southern,urban_connection_rate_ambitious,0.99,year +2090,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2090,24|Central,urban_connection_rate_ambitious,0.99,year +2090,2|Central,urban_connection_rate_ambitious,0.99,year +2090,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2090,4|Central,urban_connection_rate_ambitious,0.99,year +2090,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2090,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2090,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2090,8|North-Western,urban_connection_rate_ambitious,0.99,year +2090,9|Western,urban_connection_rate_ambitious,0.99,year +2100,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2100,11|Southern,urban_connection_rate_ambitious,0.99,year +2100,12|Western,urban_connection_rate_ambitious,0.99,year +2100,13|North-Western,urban_connection_rate_ambitious,0.99,year +2100,14|Southern,urban_connection_rate_ambitious,0.99,year +2100,15|Luapula,urban_connection_rate_ambitious,0.99,year +2100,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2100,17|Northern,urban_connection_rate_ambitious,0.99,year +2100,18|Northern,urban_connection_rate_ambitious,0.99,year +2100,19|Central,urban_connection_rate_ambitious,0.0,year +2100,1|Eastern,urban_connection_rate_ambitious,0.99,year +2100,20|Northern,urban_connection_rate_ambitious,0.99,year +2100,21|Eastern,urban_connection_rate_ambitious,0.99,year +2100,22|Southern,urban_connection_rate_ambitious,0.99,year +2100,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2100,24|Central,urban_connection_rate_ambitious,0.99,year +2100,2|Central,urban_connection_rate_ambitious,0.99,year +2100,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2100,4|Central,urban_connection_rate_ambitious,0.99,year +2100,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2100,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2100,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2100,8|North-Western,urban_connection_rate_ambitious,0.99,year +2100,9|Western,urban_connection_rate_ambitious,0.99,year +2110,10|Lusaka,urban_connection_rate_ambitious,0.99,year +2110,11|Southern,urban_connection_rate_ambitious,0.99,year +2110,12|Western,urban_connection_rate_ambitious,0.99,year +2110,13|North-Western,urban_connection_rate_ambitious,0.99,year +2110,14|Southern,urban_connection_rate_ambitious,0.99,year +2110,15|Luapula,urban_connection_rate_ambitious,0.99,year +2110,16|Muchinga,urban_connection_rate_ambitious,0.99,year +2110,17|Northern,urban_connection_rate_ambitious,0.99,year +2110,18|Northern,urban_connection_rate_ambitious,0.99,year +2110,19|Central,urban_connection_rate_ambitious,0.0,year +2110,1|Eastern,urban_connection_rate_ambitious,0.99,year +2110,20|Northern,urban_connection_rate_ambitious,0.99,year +2110,21|Eastern,urban_connection_rate_ambitious,0.99,year +2110,22|Southern,urban_connection_rate_ambitious,0.99,year +2110,23|Muchinga,urban_connection_rate_ambitious,0.99,year +2110,24|Central,urban_connection_rate_ambitious,0.99,year +2110,2|Central,urban_connection_rate_ambitious,0.99,year +2110,3|Lusaka,urban_connection_rate_ambitious,0.99,year +2110,4|Central,urban_connection_rate_ambitious,0.99,year +2110,5|Copperbelt,urban_connection_rate_ambitious,0.99,year +2110,6|Lusaka,urban_connection_rate_ambitious,0.99,year +2110,7|Lusaka,urban_connection_rate_ambitious,0.99,year +2110,8|North-Western,urban_connection_rate_ambitious,0.99,year +2110,9|Western,urban_connection_rate_ambitious,0.99,year +2010,10|Lusaka,rural_connection_rate_ambitious,0.527,year +2010,11|Southern,rural_connection_rate_ambitious,0.525,year +2010,12|Western,rural_connection_rate_ambitious,0.495,year +2010,13|North-Western,rural_connection_rate_ambitious,0.444,year +2010,14|Southern,rural_connection_rate_ambitious,0.494,year +2010,15|Luapula,rural_connection_rate_ambitious,0.462,year +2010,16|Muchinga,rural_connection_rate_ambitious,0.515,year +2010,17|Northern,rural_connection_rate_ambitious,0.485,year +2010,18|Northern,rural_connection_rate_ambitious,0.494,year +2010,19|Central,rural_connection_rate_ambitious,0.456,year +2010,1|Eastern,rural_connection_rate_ambitious,0.647,year +2010,20|Northern,rural_connection_rate_ambitious,0.527,year +2010,21|Eastern,rural_connection_rate_ambitious,0.624,year +2010,22|Southern,rural_connection_rate_ambitious,0.494,year +2010,23|Muchinga,rural_connection_rate_ambitious,0.634,year +2010,24|Central,rural_connection_rate_ambitious,0.494,year +2010,2|Central,rural_connection_rate_ambitious,0.679,year +2010,3|Lusaka,rural_connection_rate_ambitious,0.653,year +2010,4|Central,rural_connection_rate_ambitious,0.512,year +2010,5|Copperbelt,rural_connection_rate_ambitious,0.613,year +2010,6|Lusaka,rural_connection_rate_ambitious,0.486,year +2010,7|Lusaka,rural_connection_rate_ambitious,0.585,year +2010,8|North-Western,rural_connection_rate_ambitious,0.539,year +2010,9|Western,rural_connection_rate_ambitious,0.494,year +2015,10|Lusaka,rural_connection_rate_ambitious,0.5405,year +2015,11|Southern,rural_connection_rate_ambitious,0.5415000000000001,year +2015,12|Western,rural_connection_rate_ambitious,0.507,year +2015,13|North-Western,rural_connection_rate_ambitious,0.4555,year +2015,14|Southern,rural_connection_rate_ambitious,0.507,year +2015,15|Luapula,rural_connection_rate_ambitious,0.47450000000000003,year +2015,16|Muchinga,rural_connection_rate_ambitious,0.5285,year +2015,17|Northern,rural_connection_rate_ambitious,0.498,year +2015,18|Northern,rural_connection_rate_ambitious,0.507,year +2015,19|Central,rural_connection_rate_ambitious,0.46799999999999997,year +2015,1|Eastern,rural_connection_rate_ambitious,0.7035,year +2015,20|Northern,rural_connection_rate_ambitious,0.541,year +2015,21|Eastern,rural_connection_rate_ambitious,0.652,year +2015,22|Southern,rural_connection_rate_ambitious,0.506,year +2015,23|Muchinga,rural_connection_rate_ambitious,0.6525000000000001,year +2015,24|Central,rural_connection_rate_ambitious,0.507,year +2015,2|Central,rural_connection_rate_ambitious,0.6970000000000001,year +2015,3|Lusaka,rural_connection_rate_ambitious,0.667,year +2015,4|Central,rural_connection_rate_ambitious,0.5255000000000001,year +2015,5|Copperbelt,rural_connection_rate_ambitious,0.628,year +2015,6|Lusaka,rural_connection_rate_ambitious,0.499,year +2015,7|Lusaka,rural_connection_rate_ambitious,0.6145,year +2015,8|North-Western,rural_connection_rate_ambitious,0.5525,year +2015,9|Western,rural_connection_rate_ambitious,0.507,year +2020,10|Lusaka,rural_connection_rate_ambitious,0.554,year +2020,11|Southern,rural_connection_rate_ambitious,0.558,year +2020,12|Western,rural_connection_rate_ambitious,0.519,year +2020,13|North-Western,rural_connection_rate_ambitious,0.467,year +2020,14|Southern,rural_connection_rate_ambitious,0.52,year +2020,15|Luapula,rural_connection_rate_ambitious,0.487,year +2020,16|Muchinga,rural_connection_rate_ambitious,0.542,year +2020,17|Northern,rural_connection_rate_ambitious,0.511,year +2020,18|Northern,rural_connection_rate_ambitious,0.52,year +2020,19|Central,rural_connection_rate_ambitious,0.48,year +2020,1|Eastern,rural_connection_rate_ambitious,0.76,year +2020,20|Northern,rural_connection_rate_ambitious,0.555,year +2020,21|Eastern,rural_connection_rate_ambitious,0.68,year +2020,22|Southern,rural_connection_rate_ambitious,0.518,year +2020,23|Muchinga,rural_connection_rate_ambitious,0.671,year +2020,24|Central,rural_connection_rate_ambitious,0.52,year +2020,2|Central,rural_connection_rate_ambitious,0.715,year +2020,3|Lusaka,rural_connection_rate_ambitious,0.681,year +2020,4|Central,rural_connection_rate_ambitious,0.539,year +2020,5|Copperbelt,rural_connection_rate_ambitious,0.643,year +2020,6|Lusaka,rural_connection_rate_ambitious,0.512,year +2020,7|Lusaka,rural_connection_rate_ambitious,0.644,year +2020,8|North-Western,rural_connection_rate_ambitious,0.566,year +2020,9|Western,rural_connection_rate_ambitious,0.52,year +2025,10|Lusaka,rural_connection_rate_ambitious,0.772,year +2025,11|Southern,rural_connection_rate_ambitious,0.774,year +2025,12|Western,rural_connection_rate_ambitious,0.7545,year +2025,13|North-Western,rural_connection_rate_ambitious,0.7284999999999999,year +2025,14|Southern,rural_connection_rate_ambitious,0.755,year +2025,15|Luapula,rural_connection_rate_ambitious,0.7384999999999999,year +2025,16|Muchinga,rural_connection_rate_ambitious,0.766,year +2025,17|Northern,rural_connection_rate_ambitious,0.7505,year +2025,18|Northern,rural_connection_rate_ambitious,0.755,year +2025,19|Central,rural_connection_rate_ambitious,0.735,year +2025,1|Eastern,rural_connection_rate_ambitious,0.875,year +2025,20|Northern,rural_connection_rate_ambitious,0.7725,year +2025,21|Eastern,rural_connection_rate_ambitious,0.835,year +2025,22|Southern,rural_connection_rate_ambitious,0.754,year +2025,23|Muchinga,rural_connection_rate_ambitious,0.8305,year +2025,24|Central,rural_connection_rate_ambitious,0.755,year +2025,2|Central,rural_connection_rate_ambitious,0.8525,year +2025,3|Lusaka,rural_connection_rate_ambitious,0.8355,year +2025,4|Central,rural_connection_rate_ambitious,0.7645,year +2025,5|Copperbelt,rural_connection_rate_ambitious,0.8165,year +2025,6|Lusaka,rural_connection_rate_ambitious,0.751,year +2025,7|Lusaka,rural_connection_rate_ambitious,0.817,year +2025,8|North-Western,rural_connection_rate_ambitious,0.778,year +2025,9|Western,rural_connection_rate_ambitious,0.755,year +2030,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2030,11|Southern,rural_connection_rate_ambitious,0.99,year +2030,12|Western,rural_connection_rate_ambitious,0.99,year +2030,13|North-Western,rural_connection_rate_ambitious,0.99,year +2030,14|Southern,rural_connection_rate_ambitious,0.99,year +2030,15|Luapula,rural_connection_rate_ambitious,0.99,year +2030,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2030,17|Northern,rural_connection_rate_ambitious,0.99,year +2030,18|Northern,rural_connection_rate_ambitious,0.99,year +2030,19|Central,rural_connection_rate_ambitious,0.99,year +2030,1|Eastern,rural_connection_rate_ambitious,0.99,year +2030,20|Northern,rural_connection_rate_ambitious,0.99,year +2030,21|Eastern,rural_connection_rate_ambitious,0.99,year +2030,22|Southern,rural_connection_rate_ambitious,0.99,year +2030,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2030,24|Central,rural_connection_rate_ambitious,0.99,year +2030,2|Central,rural_connection_rate_ambitious,0.99,year +2030,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2030,4|Central,rural_connection_rate_ambitious,0.99,year +2030,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2030,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2030,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2030,8|North-Western,rural_connection_rate_ambitious,0.99,year +2030,9|Western,rural_connection_rate_ambitious,0.99,year +2035,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2035,11|Southern,rural_connection_rate_ambitious,0.99,year +2035,12|Western,rural_connection_rate_ambitious,0.99,year +2035,13|North-Western,rural_connection_rate_ambitious,0.99,year +2035,14|Southern,rural_connection_rate_ambitious,0.99,year +2035,15|Luapula,rural_connection_rate_ambitious,0.99,year +2035,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2035,17|Northern,rural_connection_rate_ambitious,0.99,year +2035,18|Northern,rural_connection_rate_ambitious,0.99,year +2035,19|Central,rural_connection_rate_ambitious,0.99,year +2035,1|Eastern,rural_connection_rate_ambitious,0.99,year +2035,20|Northern,rural_connection_rate_ambitious,0.99,year +2035,21|Eastern,rural_connection_rate_ambitious,0.99,year +2035,22|Southern,rural_connection_rate_ambitious,0.99,year +2035,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2035,24|Central,rural_connection_rate_ambitious,0.99,year +2035,2|Central,rural_connection_rate_ambitious,0.99,year +2035,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2035,4|Central,rural_connection_rate_ambitious,0.99,year +2035,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2035,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2035,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2035,8|North-Western,rural_connection_rate_ambitious,0.99,year +2035,9|Western,rural_connection_rate_ambitious,0.99,year +2040,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2040,11|Southern,rural_connection_rate_ambitious,0.99,year +2040,12|Western,rural_connection_rate_ambitious,0.99,year +2040,13|North-Western,rural_connection_rate_ambitious,0.99,year +2040,14|Southern,rural_connection_rate_ambitious,0.99,year +2040,15|Luapula,rural_connection_rate_ambitious,0.99,year +2040,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2040,17|Northern,rural_connection_rate_ambitious,0.99,year +2040,18|Northern,rural_connection_rate_ambitious,0.99,year +2040,19|Central,rural_connection_rate_ambitious,0.99,year +2040,1|Eastern,rural_connection_rate_ambitious,0.99,year +2040,20|Northern,rural_connection_rate_ambitious,0.99,year +2040,21|Eastern,rural_connection_rate_ambitious,0.99,year +2040,22|Southern,rural_connection_rate_ambitious,0.99,year +2040,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2040,24|Central,rural_connection_rate_ambitious,0.99,year +2040,2|Central,rural_connection_rate_ambitious,0.99,year +2040,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2040,4|Central,rural_connection_rate_ambitious,0.99,year +2040,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2040,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2040,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2040,8|North-Western,rural_connection_rate_ambitious,0.99,year +2040,9|Western,rural_connection_rate_ambitious,0.99,year +2045,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2045,11|Southern,rural_connection_rate_ambitious,0.99,year +2045,12|Western,rural_connection_rate_ambitious,0.99,year +2045,13|North-Western,rural_connection_rate_ambitious,0.99,year +2045,14|Southern,rural_connection_rate_ambitious,0.99,year +2045,15|Luapula,rural_connection_rate_ambitious,0.99,year +2045,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2045,17|Northern,rural_connection_rate_ambitious,0.99,year +2045,18|Northern,rural_connection_rate_ambitious,0.99,year +2045,19|Central,rural_connection_rate_ambitious,0.99,year +2045,1|Eastern,rural_connection_rate_ambitious,0.99,year +2045,20|Northern,rural_connection_rate_ambitious,0.99,year +2045,21|Eastern,rural_connection_rate_ambitious,0.99,year +2045,22|Southern,rural_connection_rate_ambitious,0.99,year +2045,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2045,24|Central,rural_connection_rate_ambitious,0.99,year +2045,2|Central,rural_connection_rate_ambitious,0.99,year +2045,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2045,4|Central,rural_connection_rate_ambitious,0.99,year +2045,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2045,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2045,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2045,8|North-Western,rural_connection_rate_ambitious,0.99,year +2045,9|Western,rural_connection_rate_ambitious,0.99,year +2050,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2050,11|Southern,rural_connection_rate_ambitious,0.99,year +2050,12|Western,rural_connection_rate_ambitious,0.99,year +2050,13|North-Western,rural_connection_rate_ambitious,0.99,year +2050,14|Southern,rural_connection_rate_ambitious,0.99,year +2050,15|Luapula,rural_connection_rate_ambitious,0.99,year +2050,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2050,17|Northern,rural_connection_rate_ambitious,0.99,year +2050,18|Northern,rural_connection_rate_ambitious,0.99,year +2050,19|Central,rural_connection_rate_ambitious,0.99,year +2050,1|Eastern,rural_connection_rate_ambitious,0.99,year +2050,20|Northern,rural_connection_rate_ambitious,0.99,year +2050,21|Eastern,rural_connection_rate_ambitious,0.99,year +2050,22|Southern,rural_connection_rate_ambitious,0.99,year +2050,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2050,24|Central,rural_connection_rate_ambitious,0.99,year +2050,2|Central,rural_connection_rate_ambitious,0.99,year +2050,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2050,4|Central,rural_connection_rate_ambitious,0.99,year +2050,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2050,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2050,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2050,8|North-Western,rural_connection_rate_ambitious,0.99,year +2050,9|Western,rural_connection_rate_ambitious,0.99,year +2055,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2055,11|Southern,rural_connection_rate_ambitious,0.99,year +2055,12|Western,rural_connection_rate_ambitious,0.99,year +2055,13|North-Western,rural_connection_rate_ambitious,0.99,year +2055,14|Southern,rural_connection_rate_ambitious,0.99,year +2055,15|Luapula,rural_connection_rate_ambitious,0.99,year +2055,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2055,17|Northern,rural_connection_rate_ambitious,0.99,year +2055,18|Northern,rural_connection_rate_ambitious,0.99,year +2055,19|Central,rural_connection_rate_ambitious,0.99,year +2055,1|Eastern,rural_connection_rate_ambitious,0.99,year +2055,20|Northern,rural_connection_rate_ambitious,0.99,year +2055,21|Eastern,rural_connection_rate_ambitious,0.99,year +2055,22|Southern,rural_connection_rate_ambitious,0.99,year +2055,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2055,24|Central,rural_connection_rate_ambitious,0.99,year +2055,2|Central,rural_connection_rate_ambitious,0.99,year +2055,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2055,4|Central,rural_connection_rate_ambitious,0.99,year +2055,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2055,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2055,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2055,8|North-Western,rural_connection_rate_ambitious,0.99,year +2055,9|Western,rural_connection_rate_ambitious,0.99,year +2060,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2060,11|Southern,rural_connection_rate_ambitious,0.99,year +2060,12|Western,rural_connection_rate_ambitious,0.99,year +2060,13|North-Western,rural_connection_rate_ambitious,0.99,year +2060,14|Southern,rural_connection_rate_ambitious,0.99,year +2060,15|Luapula,rural_connection_rate_ambitious,0.99,year +2060,16|Muchinga,rural_connection_rate_ambitious,0.99,year +2060,17|Northern,rural_connection_rate_ambitious,0.99,year +2060,18|Northern,rural_connection_rate_ambitious,0.99,year +2060,19|Central,rural_connection_rate_ambitious,0.99,year +2060,1|Eastern,rural_connection_rate_ambitious,0.99,year +2060,20|Northern,rural_connection_rate_ambitious,0.99,year +2060,21|Eastern,rural_connection_rate_ambitious,0.99,year +2060,22|Southern,rural_connection_rate_ambitious,0.99,year +2060,23|Muchinga,rural_connection_rate_ambitious,0.99,year +2060,24|Central,rural_connection_rate_ambitious,0.99,year +2060,2|Central,rural_connection_rate_ambitious,0.99,year +2060,3|Lusaka,rural_connection_rate_ambitious,0.99,year +2060,4|Central,rural_connection_rate_ambitious,0.99,year +2060,5|Copperbelt,rural_connection_rate_ambitious,0.99,year +2060,6|Lusaka,rural_connection_rate_ambitious,0.99,year +2060,7|Lusaka,rural_connection_rate_ambitious,0.99,year +2060,8|North-Western,rural_connection_rate_ambitious,0.99,year +2060,9|Western,rural_connection_rate_ambitious,0.99,year +2070,10|Lusaka,rural_connection_rate_ambitious,0.99,year +2070,11|Southern,rural_connection_rate_ambitious,0.99,year +2070,12|Western,rural_connection_rate_ambitious,0.99,year +2070,13|North-Western,rural_connection_rate_ambitious,0.99,year +2070,14|Southern,rural_connection_rate_ambitious,0.99,year 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+2035,9|Western,urban_treatment_rate_ambitious,0.99,year +2040,10|Lusaka,urban_treatment_rate_ambitious,0.99,year +2040,11|Southern,urban_treatment_rate_ambitious,0.99,year +2040,12|Western,urban_treatment_rate_ambitious,0.0,year +2040,13|North-Western,urban_treatment_rate_ambitious,0.99,year +2040,14|Southern,urban_treatment_rate_ambitious,0.0,year +2040,15|Luapula,urban_treatment_rate_ambitious,0.99,year +2040,16|Muchinga,urban_treatment_rate_ambitious,0.99,year +2040,17|Northern,urban_treatment_rate_ambitious,0.99,year +2040,18|Northern,urban_treatment_rate_ambitious,0.99,year +2040,19|Central,urban_treatment_rate_ambitious,0.0,year +2040,1|Eastern,urban_treatment_rate_ambitious,0.99,year +2040,20|Northern,urban_treatment_rate_ambitious,0.0,year +2040,21|Eastern,urban_treatment_rate_ambitious,0.99,year +2040,22|Southern,urban_treatment_rate_ambitious,0.99,year +2040,23|Muchinga,urban_treatment_rate_ambitious,0.99,year +2040,24|Central,urban_treatment_rate_ambitious,0.99,year 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+2035,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2035,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2035,17|Northern,rural_treatment_rate_ambitious,0.99,year +2035,18|Northern,rural_treatment_rate_ambitious,0.99,year +2035,19|Central,rural_treatment_rate_ambitious,0.99,year +2035,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2035,20|Northern,rural_treatment_rate_ambitious,0.99,year +2035,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2035,22|Southern,rural_treatment_rate_ambitious,0.99,year +2035,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2035,24|Central,rural_treatment_rate_ambitious,0.99,year +2035,2|Central,rural_treatment_rate_ambitious,0.99,year +2035,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2035,4|Central,rural_treatment_rate_ambitious,0.99,year +2035,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2035,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2035,7|Lusaka,rural_treatment_rate_ambitious,0.99,year 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+2040,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2040,24|Central,rural_treatment_rate_ambitious,0.99,year +2040,2|Central,rural_treatment_rate_ambitious,0.99,year +2040,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2040,4|Central,rural_treatment_rate_ambitious,0.99,year +2040,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2040,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2040,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2040,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2040,9|Western,rural_treatment_rate_ambitious,0.99,year +2045,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2045,11|Southern,rural_treatment_rate_ambitious,0.99,year +2045,12|Western,rural_treatment_rate_ambitious,0.99,year +2045,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2045,14|Southern,rural_treatment_rate_ambitious,0.99,year +2045,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2045,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2045,17|Northern,rural_treatment_rate_ambitious,0.99,year +2045,18|Northern,rural_treatment_rate_ambitious,0.99,year +2045,19|Central,rural_treatment_rate_ambitious,0.99,year +2045,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2045,20|Northern,rural_treatment_rate_ambitious,0.99,year +2045,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2045,22|Southern,rural_treatment_rate_ambitious,0.99,year +2045,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2045,24|Central,rural_treatment_rate_ambitious,0.99,year +2045,2|Central,rural_treatment_rate_ambitious,0.99,year +2045,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2045,4|Central,rural_treatment_rate_ambitious,0.99,year +2045,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2045,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2045,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2045,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2045,9|Western,rural_treatment_rate_ambitious,0.99,year +2050,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2050,11|Southern,rural_treatment_rate_ambitious,0.99,year +2050,12|Western,rural_treatment_rate_ambitious,0.99,year +2050,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2050,14|Southern,rural_treatment_rate_ambitious,0.99,year +2050,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2050,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2050,17|Northern,rural_treatment_rate_ambitious,0.99,year +2050,18|Northern,rural_treatment_rate_ambitious,0.99,year +2050,19|Central,rural_treatment_rate_ambitious,0.99,year +2050,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2050,20|Northern,rural_treatment_rate_ambitious,0.99,year +2050,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2050,22|Southern,rural_treatment_rate_ambitious,0.99,year +2050,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2050,24|Central,rural_treatment_rate_ambitious,0.99,year +2050,2|Central,rural_treatment_rate_ambitious,0.99,year +2050,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2050,4|Central,rural_treatment_rate_ambitious,0.99,year +2050,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2050,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2050,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2050,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2050,9|Western,rural_treatment_rate_ambitious,0.99,year +2055,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2055,11|Southern,rural_treatment_rate_ambitious,0.99,year +2055,12|Western,rural_treatment_rate_ambitious,0.99,year +2055,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2055,14|Southern,rural_treatment_rate_ambitious,0.99,year +2055,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2055,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2055,17|Northern,rural_treatment_rate_ambitious,0.99,year +2055,18|Northern,rural_treatment_rate_ambitious,0.99,year +2055,19|Central,rural_treatment_rate_ambitious,0.99,year +2055,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2055,20|Northern,rural_treatment_rate_ambitious,0.99,year +2055,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2055,22|Southern,rural_treatment_rate_ambitious,0.99,year +2055,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2055,24|Central,rural_treatment_rate_ambitious,0.99,year +2055,2|Central,rural_treatment_rate_ambitious,0.99,year +2055,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2055,4|Central,rural_treatment_rate_ambitious,0.99,year +2055,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2055,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2055,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2055,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2055,9|Western,rural_treatment_rate_ambitious,0.99,year +2060,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2060,11|Southern,rural_treatment_rate_ambitious,0.99,year +2060,12|Western,rural_treatment_rate_ambitious,0.99,year +2060,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2060,14|Southern,rural_treatment_rate_ambitious,0.99,year +2060,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2060,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2060,17|Northern,rural_treatment_rate_ambitious,0.99,year +2060,18|Northern,rural_treatment_rate_ambitious,0.99,year +2060,19|Central,rural_treatment_rate_ambitious,0.99,year +2060,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2060,20|Northern,rural_treatment_rate_ambitious,0.99,year +2060,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2060,22|Southern,rural_treatment_rate_ambitious,0.99,year +2060,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2060,24|Central,rural_treatment_rate_ambitious,0.99,year +2060,2|Central,rural_treatment_rate_ambitious,0.99,year +2060,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2060,4|Central,rural_treatment_rate_ambitious,0.99,year +2060,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2060,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2060,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2060,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2060,9|Western,rural_treatment_rate_ambitious,0.99,year +2070,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2070,11|Southern,rural_treatment_rate_ambitious,0.99,year +2070,12|Western,rural_treatment_rate_ambitious,0.99,year +2070,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2070,14|Southern,rural_treatment_rate_ambitious,0.99,year +2070,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2070,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2070,17|Northern,rural_treatment_rate_ambitious,0.99,year +2070,18|Northern,rural_treatment_rate_ambitious,0.99,year +2070,19|Central,rural_treatment_rate_ambitious,0.99,year +2070,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2070,20|Northern,rural_treatment_rate_ambitious,0.99,year +2070,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2070,22|Southern,rural_treatment_rate_ambitious,0.99,year +2070,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2070,24|Central,rural_treatment_rate_ambitious,0.99,year +2070,2|Central,rural_treatment_rate_ambitious,0.99,year +2070,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2070,4|Central,rural_treatment_rate_ambitious,0.99,year +2070,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2070,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2070,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2070,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2070,9|Western,rural_treatment_rate_ambitious,0.99,year +2080,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2080,11|Southern,rural_treatment_rate_ambitious,0.99,year +2080,12|Western,rural_treatment_rate_ambitious,0.99,year +2080,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2080,14|Southern,rural_treatment_rate_ambitious,0.99,year +2080,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2080,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2080,17|Northern,rural_treatment_rate_ambitious,0.99,year +2080,18|Northern,rural_treatment_rate_ambitious,0.99,year +2080,19|Central,rural_treatment_rate_ambitious,0.99,year +2080,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2080,20|Northern,rural_treatment_rate_ambitious,0.99,year +2080,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2080,22|Southern,rural_treatment_rate_ambitious,0.99,year +2080,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2080,24|Central,rural_treatment_rate_ambitious,0.99,year +2080,2|Central,rural_treatment_rate_ambitious,0.99,year +2080,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2080,4|Central,rural_treatment_rate_ambitious,0.99,year +2080,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2080,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2080,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2080,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2080,9|Western,rural_treatment_rate_ambitious,0.99,year +2090,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2090,11|Southern,rural_treatment_rate_ambitious,0.99,year +2090,12|Western,rural_treatment_rate_ambitious,0.99,year +2090,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2090,14|Southern,rural_treatment_rate_ambitious,0.99,year +2090,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2090,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2090,17|Northern,rural_treatment_rate_ambitious,0.99,year +2090,18|Northern,rural_treatment_rate_ambitious,0.99,year +2090,19|Central,rural_treatment_rate_ambitious,0.99,year +2090,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2090,20|Northern,rural_treatment_rate_ambitious,0.99,year +2090,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2090,22|Southern,rural_treatment_rate_ambitious,0.99,year +2090,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2090,24|Central,rural_treatment_rate_ambitious,0.99,year +2090,2|Central,rural_treatment_rate_ambitious,0.0,year +2090,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2090,4|Central,rural_treatment_rate_ambitious,0.99,year +2090,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2090,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2090,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2090,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2090,9|Western,rural_treatment_rate_ambitious,0.99,year +2100,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2100,11|Southern,rural_treatment_rate_ambitious,0.99,year +2100,12|Western,rural_treatment_rate_ambitious,0.99,year +2100,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2100,14|Southern,rural_treatment_rate_ambitious,0.99,year +2100,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2100,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2100,17|Northern,rural_treatment_rate_ambitious,0.99,year +2100,18|Northern,rural_treatment_rate_ambitious,0.99,year +2100,19|Central,rural_treatment_rate_ambitious,0.99,year +2100,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2100,20|Northern,rural_treatment_rate_ambitious,0.99,year +2100,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2100,22|Southern,rural_treatment_rate_ambitious,0.99,year +2100,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2100,24|Central,rural_treatment_rate_ambitious,0.99,year +2100,2|Central,rural_treatment_rate_ambitious,0.99,year +2100,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2100,4|Central,rural_treatment_rate_ambitious,0.99,year +2100,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2100,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2100,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2100,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2100,9|Western,rural_treatment_rate_ambitious,0.99,year +2110,10|Lusaka,rural_treatment_rate_ambitious,0.99,year +2110,11|Southern,rural_treatment_rate_ambitious,0.99,year +2110,12|Western,rural_treatment_rate_ambitious,0.99,year +2110,13|North-Western,rural_treatment_rate_ambitious,0.99,year +2110,14|Southern,rural_treatment_rate_ambitious,0.99,year +2110,15|Luapula,rural_treatment_rate_ambitious,0.99,year +2110,16|Muchinga,rural_treatment_rate_ambitious,0.99,year +2110,17|Northern,rural_treatment_rate_ambitious,0.99,year +2110,18|Northern,rural_treatment_rate_ambitious,0.99,year +2110,19|Central,rural_treatment_rate_ambitious,0.99,year +2110,1|Eastern,rural_treatment_rate_ambitious,0.99,year +2110,20|Northern,rural_treatment_rate_ambitious,0.99,year +2110,21|Eastern,rural_treatment_rate_ambitious,0.99,year +2110,22|Southern,rural_treatment_rate_ambitious,0.99,year +2110,23|Muchinga,rural_treatment_rate_ambitious,0.99,year +2110,24|Central,rural_treatment_rate_ambitious,0.99,year +2110,2|Central,rural_treatment_rate_ambitious,0.99,year +2110,3|Lusaka,rural_treatment_rate_ambitious,0.99,year +2110,4|Central,rural_treatment_rate_ambitious,0.99,year +2110,5|Copperbelt,rural_treatment_rate_ambitious,0.99,year +2110,6|Lusaka,rural_treatment_rate_ambitious,0.99,year +2110,7|Lusaka,rural_treatment_rate_ambitious,0.99,year +2110,8|North-Western,rural_treatment_rate_ambitious,0.99,year +2110,9|Western,rural_treatment_rate_ambitious,0.99,year +2010,10|Lusaka,urban_recycling_rate_ambitious,0.3528,year +2010,11|Southern,urban_recycling_rate_ambitious,0.2304,year +2010,12|Western,urban_recycling_rate_ambitious,0.0,year +2010,13|North-Western,urban_recycling_rate_ambitious,0.196,year +2010,14|Southern,urban_recycling_rate_ambitious,0.0,year +2010,15|Luapula,urban_recycling_rate_ambitious,0.208,year +2010,16|Muchinga,urban_recycling_rate_ambitious,0.2016,year +2010,17|Northern,urban_recycling_rate_ambitious,0.1928,year +2010,18|Northern,urban_recycling_rate_ambitious,0.0,year +2010,19|Central,urban_recycling_rate_ambitious,0.0,year +2010,1|Eastern,urban_recycling_rate_ambitious,0.2176,year +2010,20|Northern,urban_recycling_rate_ambitious,0.0,year +2010,21|Eastern,urban_recycling_rate_ambitious,0.196,year +2010,22|Southern,urban_recycling_rate_ambitious,0.1992,year +2010,23|Muchinga,urban_recycling_rate_ambitious,0.32,year +2010,24|Central,urban_recycling_rate_ambitious,0.1928,year +2010,2|Central,urban_recycling_rate_ambitious,0.4312,year +2010,3|Lusaka,urban_recycling_rate_ambitious,0.2656,year +2010,4|Central,urban_recycling_rate_ambitious,0.2832,year +2010,5|Copperbelt,urban_recycling_rate_ambitious,0.4496,year +2010,6|Lusaka,urban_recycling_rate_ambitious,0.0,year +2010,7|Lusaka,urban_recycling_rate_ambitious,0.2656,year +2010,8|North-Western,urban_recycling_rate_ambitious,0.4112,year +2010,9|Western,urban_recycling_rate_ambitious,0.1744,year +2015,10|Lusaka,urban_recycling_rate_ambitious,0.362,year +2015,11|Southern,urban_recycling_rate_ambitious,0.2332,year +2015,12|Western,urban_recycling_rate_ambitious,0.0,year +2015,13|North-Western,urban_recycling_rate_ambitious,0.2008,year +2015,14|Southern,urban_recycling_rate_ambitious,0.0,year +2015,15|Luapula,urban_recycling_rate_ambitious,0.2132,year +2015,16|Muchinga,urban_recycling_rate_ambitious,0.2072,year +2015,17|Northern,urban_recycling_rate_ambitious,0.1976,year +2015,18|Northern,urban_recycling_rate_ambitious,0.0,year +2015,19|Central,urban_recycling_rate_ambitious,0.0,year +2015,1|Eastern,urban_recycling_rate_ambitious,0.2188,year +2015,20|Northern,urban_recycling_rate_ambitious,0.0,year +2015,21|Eastern,urban_recycling_rate_ambitious,0.20240000000000002,year +2015,22|Southern,urban_recycling_rate_ambitious,0.20400000000000001,year +2015,23|Muchinga,urban_recycling_rate_ambitious,0.3248,year +2015,24|Central,urban_recycling_rate_ambitious,0.1976,year +2015,2|Central,urban_recycling_rate_ambitious,0.4428,year +2015,3|Lusaka,urban_recycling_rate_ambitious,0.27280000000000004,year +2015,4|Central,urban_recycling_rate_ambitious,0.28959999999999997,year +2015,5|Copperbelt,urban_recycling_rate_ambitious,0.4612,year +2015,6|Lusaka,urban_recycling_rate_ambitious,0.0,year +2015,7|Lusaka,urban_recycling_rate_ambitious,0.2632,year +2015,8|North-Western,urban_recycling_rate_ambitious,0.42200000000000004,year +2015,9|Western,urban_recycling_rate_ambitious,0.17959999999999998,year +2020,10|Lusaka,urban_recycling_rate_ambitious,0.3712,year +2020,11|Southern,urban_recycling_rate_ambitious,0.236,year +2020,12|Western,urban_recycling_rate_ambitious,0.0,year +2020,13|North-Western,urban_recycling_rate_ambitious,0.2056,year +2020,14|Southern,urban_recycling_rate_ambitious,0.0,year +2020,15|Luapula,urban_recycling_rate_ambitious,0.2184,year +2020,16|Muchinga,urban_recycling_rate_ambitious,0.2128,year +2020,17|Northern,urban_recycling_rate_ambitious,0.2024,year +2020,18|Northern,urban_recycling_rate_ambitious,0.0,year +2020,19|Central,urban_recycling_rate_ambitious,0.0,year +2020,1|Eastern,urban_recycling_rate_ambitious,0.22,year +2020,20|Northern,urban_recycling_rate_ambitious,0.0,year +2020,21|Eastern,urban_recycling_rate_ambitious,0.2088,year +2020,22|Southern,urban_recycling_rate_ambitious,0.2088,year +2020,23|Muchinga,urban_recycling_rate_ambitious,0.3296,year +2020,24|Central,urban_recycling_rate_ambitious,0.2024,year +2020,2|Central,urban_recycling_rate_ambitious,0.4544,year +2020,3|Lusaka,urban_recycling_rate_ambitious,0.28,year +2020,4|Central,urban_recycling_rate_ambitious,0.296,year +2020,5|Copperbelt,urban_recycling_rate_ambitious,0.4728,year +2020,6|Lusaka,urban_recycling_rate_ambitious,0.0,year +2020,7|Lusaka,urban_recycling_rate_ambitious,0.2608,year +2020,8|North-Western,urban_recycling_rate_ambitious,0.4328,year +2020,9|Western,urban_recycling_rate_ambitious,0.1848,year +2025,10|Lusaka,urban_recycling_rate_ambitious,0.5816,year +2025,11|Southern,urban_recycling_rate_ambitious,0.514,year +2025,12|Western,urban_recycling_rate_ambitious,0.0,year +2025,13|North-Western,urban_recycling_rate_ambitious,0.4988,year +2025,14|Southern,urban_recycling_rate_ambitious,0.0,year +2025,15|Luapula,urban_recycling_rate_ambitious,0.5052,year +2025,16|Muchinga,urban_recycling_rate_ambitious,0.5024,year +2025,17|Northern,urban_recycling_rate_ambitious,0.4972,year +2025,18|Northern,urban_recycling_rate_ambitious,0.396,year +2025,19|Central,urban_recycling_rate_ambitious,0.0,year +2025,1|Eastern,urban_recycling_rate_ambitious,0.506,year +2025,20|Northern,urban_recycling_rate_ambitious,0.0,year +2025,21|Eastern,urban_recycling_rate_ambitious,0.5004000000000001,year +2025,22|Southern,urban_recycling_rate_ambitious,0.5004000000000001,year +2025,23|Muchinga,urban_recycling_rate_ambitious,0.5608,year +2025,24|Central,urban_recycling_rate_ambitious,0.4972,year +2025,2|Central,urban_recycling_rate_ambitious,0.6232,year +2025,3|Lusaka,urban_recycling_rate_ambitious,0.536,year +2025,4|Central,urban_recycling_rate_ambitious,0.544,year +2025,5|Copperbelt,urban_recycling_rate_ambitious,0.6324000000000001,year +2025,6|Lusaka,urban_recycling_rate_ambitious,0.0,year +2025,7|Lusaka,urban_recycling_rate_ambitious,0.5264,year +2025,8|North-Western,urban_recycling_rate_ambitious,0.6124,year +2025,9|Western,urban_recycling_rate_ambitious,0.48840000000000006,year +2030,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2030,11|Southern,urban_recycling_rate_ambitious,0.792,year +2030,12|Western,urban_recycling_rate_ambitious,0.0,year +2030,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2030,14|Southern,urban_recycling_rate_ambitious,0.0,year +2030,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2030,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2030,17|Northern,urban_recycling_rate_ambitious,0.792,year +2030,18|Northern,urban_recycling_rate_ambitious,0.792,year +2030,19|Central,urban_recycling_rate_ambitious,0.0,year +2030,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2030,20|Northern,urban_recycling_rate_ambitious,0.0,year +2030,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2030,22|Southern,urban_recycling_rate_ambitious,0.792,year +2030,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2030,24|Central,urban_recycling_rate_ambitious,0.792,year +2030,2|Central,urban_recycling_rate_ambitious,0.792,year +2030,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2030,4|Central,urban_recycling_rate_ambitious,0.792,year +2030,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2030,6|Lusaka,urban_recycling_rate_ambitious,0.0,year +2030,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2030,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2030,9|Western,urban_recycling_rate_ambitious,0.792,year +2035,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2035,11|Southern,urban_recycling_rate_ambitious,0.792,year +2035,12|Western,urban_recycling_rate_ambitious,0.0,year +2035,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2035,14|Southern,urban_recycling_rate_ambitious,0.0,year +2035,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2035,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2035,17|Northern,urban_recycling_rate_ambitious,0.792,year +2035,18|Northern,urban_recycling_rate_ambitious,0.792,year +2035,19|Central,urban_recycling_rate_ambitious,0.0,year +2035,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2035,20|Northern,urban_recycling_rate_ambitious,0.0,year +2035,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2035,22|Southern,urban_recycling_rate_ambitious,0.792,year +2035,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2035,24|Central,urban_recycling_rate_ambitious,0.792,year +2035,2|Central,urban_recycling_rate_ambitious,0.792,year +2035,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2035,4|Central,urban_recycling_rate_ambitious,0.792,year +2035,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2035,6|Lusaka,urban_recycling_rate_ambitious,0.396,year +2035,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2035,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2035,9|Western,urban_recycling_rate_ambitious,0.792,year +2040,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2040,11|Southern,urban_recycling_rate_ambitious,0.792,year +2040,12|Western,urban_recycling_rate_ambitious,0.0,year +2040,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2040,14|Southern,urban_recycling_rate_ambitious,0.0,year +2040,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2040,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2040,17|Northern,urban_recycling_rate_ambitious,0.792,year +2040,18|Northern,urban_recycling_rate_ambitious,0.792,year +2040,19|Central,urban_recycling_rate_ambitious,0.0,year +2040,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2040,20|Northern,urban_recycling_rate_ambitious,0.0,year +2040,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2040,22|Southern,urban_recycling_rate_ambitious,0.792,year +2040,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2040,24|Central,urban_recycling_rate_ambitious,0.792,year +2040,2|Central,urban_recycling_rate_ambitious,0.792,year +2040,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2040,4|Central,urban_recycling_rate_ambitious,0.792,year +2040,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2040,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2040,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2040,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2040,9|Western,urban_recycling_rate_ambitious,0.792,year +2045,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2045,11|Southern,urban_recycling_rate_ambitious,0.792,year +2045,12|Western,urban_recycling_rate_ambitious,0.0,year +2045,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2045,14|Southern,urban_recycling_rate_ambitious,0.0,year +2045,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2045,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2045,17|Northern,urban_recycling_rate_ambitious,0.792,year +2045,18|Northern,urban_recycling_rate_ambitious,0.792,year +2045,19|Central,urban_recycling_rate_ambitious,0.0,year +2045,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2045,20|Northern,urban_recycling_rate_ambitious,0.396,year +2045,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2045,22|Southern,urban_recycling_rate_ambitious,0.792,year +2045,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2045,24|Central,urban_recycling_rate_ambitious,0.792,year +2045,2|Central,urban_recycling_rate_ambitious,0.792,year +2045,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2045,4|Central,urban_recycling_rate_ambitious,0.792,year +2045,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2045,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2045,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2045,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2045,9|Western,urban_recycling_rate_ambitious,0.792,year +2050,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2050,11|Southern,urban_recycling_rate_ambitious,0.792,year +2050,12|Western,urban_recycling_rate_ambitious,0.0,year +2050,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2050,14|Southern,urban_recycling_rate_ambitious,0.0,year +2050,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2050,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2050,17|Northern,urban_recycling_rate_ambitious,0.792,year +2050,18|Northern,urban_recycling_rate_ambitious,0.792,year +2050,19|Central,urban_recycling_rate_ambitious,0.0,year +2050,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2050,20|Northern,urban_recycling_rate_ambitious,0.792,year +2050,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2050,22|Southern,urban_recycling_rate_ambitious,0.792,year +2050,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2050,24|Central,urban_recycling_rate_ambitious,0.792,year +2050,2|Central,urban_recycling_rate_ambitious,0.792,year +2050,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2050,4|Central,urban_recycling_rate_ambitious,0.792,year +2050,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2050,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2050,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2050,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2050,9|Western,urban_recycling_rate_ambitious,0.792,year +2055,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2055,11|Southern,urban_recycling_rate_ambitious,0.792,year +2055,12|Western,urban_recycling_rate_ambitious,0.396,year +2055,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2055,14|Southern,urban_recycling_rate_ambitious,0.396,year +2055,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2055,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2055,17|Northern,urban_recycling_rate_ambitious,0.792,year +2055,18|Northern,urban_recycling_rate_ambitious,0.792,year +2055,19|Central,urban_recycling_rate_ambitious,0.0,year +2055,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2055,20|Northern,urban_recycling_rate_ambitious,0.792,year +2055,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2055,22|Southern,urban_recycling_rate_ambitious,0.792,year +2055,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2055,24|Central,urban_recycling_rate_ambitious,0.792,year +2055,2|Central,urban_recycling_rate_ambitious,0.792,year +2055,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2055,4|Central,urban_recycling_rate_ambitious,0.792,year +2055,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2055,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2055,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2055,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2055,9|Western,urban_recycling_rate_ambitious,0.792,year +2060,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2060,11|Southern,urban_recycling_rate_ambitious,0.792,year +2060,12|Western,urban_recycling_rate_ambitious,0.792,year +2060,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2060,14|Southern,urban_recycling_rate_ambitious,0.792,year +2060,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2060,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2060,17|Northern,urban_recycling_rate_ambitious,0.792,year +2060,18|Northern,urban_recycling_rate_ambitious,0.792,year +2060,19|Central,urban_recycling_rate_ambitious,0.0,year +2060,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2060,20|Northern,urban_recycling_rate_ambitious,0.792,year +2060,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2060,22|Southern,urban_recycling_rate_ambitious,0.792,year +2060,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2060,24|Central,urban_recycling_rate_ambitious,0.792,year +2060,2|Central,urban_recycling_rate_ambitious,0.792,year +2060,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2060,4|Central,urban_recycling_rate_ambitious,0.792,year +2060,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2060,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2060,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2060,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2060,9|Western,urban_recycling_rate_ambitious,0.792,year +2070,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2070,11|Southern,urban_recycling_rate_ambitious,0.792,year +2070,12|Western,urban_recycling_rate_ambitious,0.792,year +2070,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2070,14|Southern,urban_recycling_rate_ambitious,0.792,year +2070,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2070,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2070,17|Northern,urban_recycling_rate_ambitious,0.792,year +2070,18|Northern,urban_recycling_rate_ambitious,0.792,year +2070,19|Central,urban_recycling_rate_ambitious,0.0,year +2070,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2070,20|Northern,urban_recycling_rate_ambitious,0.792,year +2070,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2070,22|Southern,urban_recycling_rate_ambitious,0.792,year +2070,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2070,24|Central,urban_recycling_rate_ambitious,0.792,year +2070,2|Central,urban_recycling_rate_ambitious,0.792,year +2070,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2070,4|Central,urban_recycling_rate_ambitious,0.792,year +2070,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2070,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2070,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2070,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2070,9|Western,urban_recycling_rate_ambitious,0.792,year +2080,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2080,11|Southern,urban_recycling_rate_ambitious,0.792,year +2080,12|Western,urban_recycling_rate_ambitious,0.792,year +2080,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2080,14|Southern,urban_recycling_rate_ambitious,0.792,year +2080,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2080,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2080,17|Northern,urban_recycling_rate_ambitious,0.792,year +2080,18|Northern,urban_recycling_rate_ambitious,0.792,year +2080,19|Central,urban_recycling_rate_ambitious,0.0,year +2080,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2080,20|Northern,urban_recycling_rate_ambitious,0.792,year +2080,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2080,22|Southern,urban_recycling_rate_ambitious,0.792,year +2080,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2080,24|Central,urban_recycling_rate_ambitious,0.792,year +2080,2|Central,urban_recycling_rate_ambitious,0.792,year +2080,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2080,4|Central,urban_recycling_rate_ambitious,0.792,year +2080,5|Copperbelt,urban_recycling_rate_ambitious,0.792,year +2080,6|Lusaka,urban_recycling_rate_ambitious,0.792,year +2080,7|Lusaka,urban_recycling_rate_ambitious,0.792,year +2080,8|North-Western,urban_recycling_rate_ambitious,0.792,year +2080,9|Western,urban_recycling_rate_ambitious,0.792,year +2090,10|Lusaka,urban_recycling_rate_ambitious,0.792,year +2090,11|Southern,urban_recycling_rate_ambitious,0.792,year +2090,12|Western,urban_recycling_rate_ambitious,0.792,year +2090,13|North-Western,urban_recycling_rate_ambitious,0.792,year +2090,14|Southern,urban_recycling_rate_ambitious,0.792,year +2090,15|Luapula,urban_recycling_rate_ambitious,0.792,year +2090,16|Muchinga,urban_recycling_rate_ambitious,0.792,year +2090,17|Northern,urban_recycling_rate_ambitious,0.792,year +2090,18|Northern,urban_recycling_rate_ambitious,0.792,year +2090,19|Central,urban_recycling_rate_ambitious,0.0,year +2090,1|Eastern,urban_recycling_rate_ambitious,0.792,year +2090,20|Northern,urban_recycling_rate_ambitious,0.792,year +2090,21|Eastern,urban_recycling_rate_ambitious,0.792,year +2090,22|Southern,urban_recycling_rate_ambitious,0.792,year +2090,23|Muchinga,urban_recycling_rate_ambitious,0.792,year +2090,24|Central,urban_recycling_rate_ambitious,0.792,year +2090,2|Central,urban_recycling_rate_ambitious,0.792,year +2090,3|Lusaka,urban_recycling_rate_ambitious,0.792,year +2090,4|Central,urban_recycling_rate_ambitious,0.792,year 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+16|Muchinga,no_climate,2060,0.001 +16|Muchinga,no_climate,2065,0.001 +16|Muchinga,no_climate,2070,0.001 +16|Muchinga,no_climate,2075,0.001 +16|Muchinga,no_climate,2080,0.001 +16|Muchinga,no_climate,2085,0.001 +16|Muchinga,no_climate,2090,0.001 +17|Northern,2p6,2020,0.001 +17|Northern,2p6,2025,0.001 +17|Northern,2p6,2030,0.001 +17|Northern,2p6,2035,0.001 +17|Northern,2p6,2040,0.001 +17|Northern,2p6,2045,0.001 +17|Northern,2p6,2050,0.001 +17|Northern,2p6,2055,0.001 +17|Northern,2p6,2060,0.001 +17|Northern,2p6,2065,0.001 +17|Northern,2p6,2070,0.001 +17|Northern,2p6,2075,0.001 +17|Northern,2p6,2080,0.001 +17|Northern,2p6,2085,0.001 +17|Northern,2p6,2090,0.001 +17|Northern,6p0,2020,0.001 +17|Northern,6p0,2025,0.001 +17|Northern,6p0,2030,0.001 +17|Northern,6p0,2035,0.001 +17|Northern,6p0,2040,0.001 +17|Northern,6p0,2045,0.001 +17|Northern,6p0,2050,0.001 +17|Northern,6p0,2055,0.001 +17|Northern,6p0,2060,0.001 +17|Northern,6p0,2065,0.001 +17|Northern,6p0,2070,0.001 +17|Northern,6p0,2075,0.001 +17|Northern,6p0,2080,0.001 +17|Northern,6p0,2085,0.001 +17|Northern,6p0,2090,0.001 +17|Northern,no_climate,2020,0.001 +17|Northern,no_climate,2025,0.001 +17|Northern,no_climate,2030,0.001 +17|Northern,no_climate,2035,0.001 +17|Northern,no_climate,2040,0.001 +17|Northern,no_climate,2045,0.001 +17|Northern,no_climate,2050,0.001 +17|Northern,no_climate,2055,0.001 +17|Northern,no_climate,2060,0.001 +17|Northern,no_climate,2065,0.001 +17|Northern,no_climate,2070,0.001 +17|Northern,no_climate,2075,0.001 +17|Northern,no_climate,2080,0.001 +17|Northern,no_climate,2085,0.001 +17|Northern,no_climate,2090,0.001 +18|Northern,2p6,2020,0.001 +18|Northern,2p6,2025,0.001 +18|Northern,2p6,2030,0.001 +18|Northern,2p6,2035,0.001 +18|Northern,2p6,2040,0.001 +18|Northern,2p6,2045,0.001 +18|Northern,2p6,2050,0.001 +18|Northern,2p6,2055,0.001 +18|Northern,2p6,2060,0.001 +18|Northern,2p6,2065,0.001 +18|Northern,2p6,2070,0.001 +18|Northern,2p6,2075,0.001 +18|Northern,2p6,2080,0.001 +18|Northern,2p6,2085,0.001 +18|Northern,2p6,2090,0.001 +18|Northern,6p0,2020,0.001 +18|Northern,6p0,2025,0.001 +18|Northern,6p0,2030,0.001 +18|Northern,6p0,2035,0.001 +18|Northern,6p0,2040,0.001 +18|Northern,6p0,2045,0.001 +18|Northern,6p0,2050,0.001 +18|Northern,6p0,2055,0.001 +18|Northern,6p0,2060,0.001 +18|Northern,6p0,2065,0.001 +18|Northern,6p0,2070,0.001 +18|Northern,6p0,2075,0.001 +18|Northern,6p0,2080,0.001 +18|Northern,6p0,2085,0.001 +18|Northern,6p0,2090,0.001 +18|Northern,no_climate,2020,0.001 +18|Northern,no_climate,2025,0.001 +18|Northern,no_climate,2030,0.001 +18|Northern,no_climate,2035,0.001 +18|Northern,no_climate,2040,0.001 +18|Northern,no_climate,2045,0.001 +18|Northern,no_climate,2050,0.001 +18|Northern,no_climate,2055,0.001 +18|Northern,no_climate,2060,0.001 +18|Northern,no_climate,2065,0.001 +18|Northern,no_climate,2070,0.001 +18|Northern,no_climate,2075,0.001 +18|Northern,no_climate,2080,0.001 +18|Northern,no_climate,2085,0.001 +18|Northern,no_climate,2090,0.001 +19|Central,2p6,2020,0.001 +19|Central,2p6,2025,0.001 +19|Central,2p6,2030,0.001 +19|Central,2p6,2035,0.001 +19|Central,2p6,2040,0.001 +19|Central,2p6,2045,0.001 +19|Central,2p6,2050,0.001 +19|Central,2p6,2055,0.001 +19|Central,2p6,2060,0.001 +19|Central,2p6,2065,0.001 +19|Central,2p6,2070,0.001 +19|Central,2p6,2075,0.001 +19|Central,2p6,2080,0.001 +19|Central,2p6,2085,0.001 +19|Central,2p6,2090,0.001 +19|Central,6p0,2020,0.001 +19|Central,6p0,2025,0.001 +19|Central,6p0,2030,0.001 +19|Central,6p0,2035,0.001 +19|Central,6p0,2040,0.001 +19|Central,6p0,2045,0.001 +19|Central,6p0,2050,0.001 +19|Central,6p0,2055,0.001 +19|Central,6p0,2060,0.001 +19|Central,6p0,2065,0.001 +19|Central,6p0,2070,0.001 +19|Central,6p0,2075,0.001 +19|Central,6p0,2080,0.001 +19|Central,6p0,2085,0.001 +19|Central,6p0,2090,0.001 +19|Central,no_climate,2020,0.001 +19|Central,no_climate,2025,0.001 +19|Central,no_climate,2030,0.001 +19|Central,no_climate,2035,0.001 +19|Central,no_climate,2040,0.001 +19|Central,no_climate,2045,0.001 +19|Central,no_climate,2050,0.001 +19|Central,no_climate,2055,0.001 +19|Central,no_climate,2060,0.001 +19|Central,no_climate,2065,0.001 +19|Central,no_climate,2070,0.001 +19|Central,no_climate,2075,0.001 +19|Central,no_climate,2080,0.001 +19|Central,no_climate,2085,0.001 +19|Central,no_climate,2090,0.001 +2|Central,2p6,2020,0.001 +2|Central,2p6,2025,0.001 +2|Central,2p6,2030,0.001 +2|Central,2p6,2035,0.001 +2|Central,2p6,2040,0.001 +2|Central,2p6,2045,0.001 +2|Central,2p6,2050,0.001 +2|Central,2p6,2055,0.001 +2|Central,2p6,2060,0.001 +2|Central,2p6,2065,0.001 +2|Central,2p6,2070,0.001 +2|Central,2p6,2075,0.001 +2|Central,2p6,2080,0.001 +2|Central,2p6,2085,0.001 +2|Central,2p6,2090,0.001 +2|Central,6p0,2020,0.001 +2|Central,6p0,2025,0.001 +2|Central,6p0,2030,0.001 +2|Central,6p0,2035,0.001 +2|Central,6p0,2040,0.001 +2|Central,6p0,2045,0.001 +2|Central,6p0,2050,0.001 +2|Central,6p0,2055,0.001 +2|Central,6p0,2060,0.001 +2|Central,6p0,2065,0.001 +2|Central,6p0,2070,0.001 +2|Central,6p0,2075,0.001 +2|Central,6p0,2080,0.001 +2|Central,6p0,2085,0.001 +2|Central,6p0,2090,0.001 +2|Central,no_climate,2020,0.001 +2|Central,no_climate,2025,0.001 +2|Central,no_climate,2030,0.001 +2|Central,no_climate,2035,0.001 +2|Central,no_climate,2040,0.001 +2|Central,no_climate,2045,0.001 +2|Central,no_climate,2050,0.001 +2|Central,no_climate,2055,0.001 +2|Central,no_climate,2060,0.001 +2|Central,no_climate,2065,0.001 +2|Central,no_climate,2070,0.001 +2|Central,no_climate,2075,0.001 +2|Central,no_climate,2080,0.001 +2|Central,no_climate,2085,0.001 +2|Central,no_climate,2090,0.001 +20|Northern,2p6,2020,0.001 +20|Northern,2p6,2025,0.001 +20|Northern,2p6,2030,0.001 +20|Northern,2p6,2035,0.001 +20|Northern,2p6,2040,0.001 +20|Northern,2p6,2045,0.001 +20|Northern,2p6,2050,0.001 +20|Northern,2p6,2055,0.001 +20|Northern,2p6,2060,0.001 +20|Northern,2p6,2065,0.001 +20|Northern,2p6,2070,0.001 +20|Northern,2p6,2075,0.001 +20|Northern,2p6,2080,0.001 +20|Northern,2p6,2085,0.001 +20|Northern,2p6,2090,0.001 +20|Northern,6p0,2020,0.001 +20|Northern,6p0,2025,0.001 +20|Northern,6p0,2030,0.001 +20|Northern,6p0,2035,0.001 +20|Northern,6p0,2040,0.001 +20|Northern,6p0,2045,0.001 +20|Northern,6p0,2050,0.001 +20|Northern,6p0,2055,0.001 +20|Northern,6p0,2060,0.001 +20|Northern,6p0,2065,0.001 +20|Northern,6p0,2070,0.001 +20|Northern,6p0,2075,0.001 +20|Northern,6p0,2080,0.001 +20|Northern,6p0,2085,0.001 +20|Northern,6p0,2090,0.001 +20|Northern,no_climate,2020,0.001 +20|Northern,no_climate,2025,0.001 +20|Northern,no_climate,2030,0.001 +20|Northern,no_climate,2035,0.001 +20|Northern,no_climate,2040,0.001 +20|Northern,no_climate,2045,0.001 +20|Northern,no_climate,2050,0.001 +20|Northern,no_climate,2055,0.001 +20|Northern,no_climate,2060,0.001 +20|Northern,no_climate,2065,0.001 +20|Northern,no_climate,2070,0.001 +20|Northern,no_climate,2075,0.001 +20|Northern,no_climate,2080,0.001 +20|Northern,no_climate,2085,0.001 +20|Northern,no_climate,2090,0.001 +21|Eastern,2p6,2020,0.001 +21|Eastern,2p6,2025,0.001 +21|Eastern,2p6,2030,0.001 +21|Eastern,2p6,2035,0.001 +21|Eastern,2p6,2040,0.001 +21|Eastern,2p6,2045,0.001 +21|Eastern,2p6,2050,0.001 +21|Eastern,2p6,2055,0.001 +21|Eastern,2p6,2060,0.001 +21|Eastern,2p6,2065,0.001 +21|Eastern,2p6,2070,0.001 +21|Eastern,2p6,2075,0.001 +21|Eastern,2p6,2080,0.001 +21|Eastern,2p6,2085,0.001 +21|Eastern,2p6,2090,0.001 +21|Eastern,6p0,2020,0.001 +21|Eastern,6p0,2025,0.001 +21|Eastern,6p0,2030,0.001 +21|Eastern,6p0,2035,0.001 +21|Eastern,6p0,2040,0.001 +21|Eastern,6p0,2045,0.001 +21|Eastern,6p0,2050,0.001 +21|Eastern,6p0,2055,0.001 +21|Eastern,6p0,2060,0.001 +21|Eastern,6p0,2065,0.001 +21|Eastern,6p0,2070,0.001 +21|Eastern,6p0,2075,0.001 +21|Eastern,6p0,2080,0.001 +21|Eastern,6p0,2085,0.001 +21|Eastern,6p0,2090,0.001 +21|Eastern,no_climate,2020,0.001 +21|Eastern,no_climate,2025,0.001 +21|Eastern,no_climate,2030,0.001 +21|Eastern,no_climate,2035,0.001 +21|Eastern,no_climate,2040,0.001 +21|Eastern,no_climate,2045,0.001 +21|Eastern,no_climate,2050,0.001 +21|Eastern,no_climate,2055,0.001 +21|Eastern,no_climate,2060,0.001 +21|Eastern,no_climate,2065,0.001 +21|Eastern,no_climate,2070,0.001 +21|Eastern,no_climate,2075,0.001 +21|Eastern,no_climate,2080,0.001 +21|Eastern,no_climate,2085,0.001 +21|Eastern,no_climate,2090,0.001 +22|Southern,2p6,2020,0.001 +22|Southern,2p6,2025,0.001 +22|Southern,2p6,2030,0.001 +22|Southern,2p6,2035,0.001 +22|Southern,2p6,2040,0.001 +22|Southern,2p6,2045,0.001 +22|Southern,2p6,2050,0.001 +22|Southern,2p6,2055,0.001 +22|Southern,2p6,2060,0.001 +22|Southern,2p6,2065,0.001 +22|Southern,2p6,2070,0.001 +22|Southern,2p6,2075,0.001 +22|Southern,2p6,2080,0.001 +22|Southern,2p6,2085,0.001 +22|Southern,2p6,2090,0.001 +22|Southern,6p0,2020,0.001 +22|Southern,6p0,2025,0.001 +22|Southern,6p0,2030,0.001 +22|Southern,6p0,2035,0.001 +22|Southern,6p0,2040,0.001 +22|Southern,6p0,2045,0.001 +22|Southern,6p0,2050,0.001 +22|Southern,6p0,2055,0.001 +22|Southern,6p0,2060,0.001 +22|Southern,6p0,2065,0.001 +22|Southern,6p0,2070,0.001 +22|Southern,6p0,2075,0.001 +22|Southern,6p0,2080,0.001 +22|Southern,6p0,2085,0.001 +22|Southern,6p0,2090,0.001 +22|Southern,no_climate,2020,0.001 +22|Southern,no_climate,2025,0.001 +22|Southern,no_climate,2030,0.001 +22|Southern,no_climate,2035,0.001 +22|Southern,no_climate,2040,0.001 +22|Southern,no_climate,2045,0.001 +22|Southern,no_climate,2050,0.001 +22|Southern,no_climate,2055,0.001 +22|Southern,no_climate,2060,0.001 +22|Southern,no_climate,2065,0.001 +22|Southern,no_climate,2070,0.001 +22|Southern,no_climate,2075,0.001 +22|Southern,no_climate,2080,0.001 +22|Southern,no_climate,2085,0.001 +22|Southern,no_climate,2090,0.001 +23|Muchinga,2p6,2020,0.001 +23|Muchinga,2p6,2025,0.001 +23|Muchinga,2p6,2030,0.001 +23|Muchinga,2p6,2035,0.001 +23|Muchinga,2p6,2040,0.001 +23|Muchinga,2p6,2045,0.001 +23|Muchinga,2p6,2050,0.001 +23|Muchinga,2p6,2055,0.001 +23|Muchinga,2p6,2060,0.001 +23|Muchinga,2p6,2065,0.001 +23|Muchinga,2p6,2070,0.001 +23|Muchinga,2p6,2075,0.001 +23|Muchinga,2p6,2080,0.001 +23|Muchinga,2p6,2085,0.001 +23|Muchinga,2p6,2090,0.001 +23|Muchinga,6p0,2020,0.001 +23|Muchinga,6p0,2025,0.001 +23|Muchinga,6p0,2030,0.001 +23|Muchinga,6p0,2035,0.001 +23|Muchinga,6p0,2040,0.001 +23|Muchinga,6p0,2045,0.001 +23|Muchinga,6p0,2050,0.001 +23|Muchinga,6p0,2055,0.001 +23|Muchinga,6p0,2060,0.001 +23|Muchinga,6p0,2065,0.001 +23|Muchinga,6p0,2070,0.001 +23|Muchinga,6p0,2075,0.001 +23|Muchinga,6p0,2080,0.001 +23|Muchinga,6p0,2085,0.001 +23|Muchinga,6p0,2090,0.001 +23|Muchinga,no_climate,2020,0.001 +23|Muchinga,no_climate,2025,0.001 +23|Muchinga,no_climate,2030,0.001 +23|Muchinga,no_climate,2035,0.001 +23|Muchinga,no_climate,2040,0.001 +23|Muchinga,no_climate,2045,0.001 +23|Muchinga,no_climate,2050,0.001 +23|Muchinga,no_climate,2055,0.001 +23|Muchinga,no_climate,2060,0.001 +23|Muchinga,no_climate,2065,0.001 +23|Muchinga,no_climate,2070,0.001 +23|Muchinga,no_climate,2075,0.001 +23|Muchinga,no_climate,2080,0.001 +23|Muchinga,no_climate,2085,0.001 +23|Muchinga,no_climate,2090,0.001 +24|Central,2p6,2020,0.001 +24|Central,2p6,2025,0.001 +24|Central,2p6,2030,0.001 +24|Central,2p6,2035,0.001 +24|Central,2p6,2040,0.001 +24|Central,2p6,2045,0.001 +24|Central,2p6,2050,0.001 +24|Central,2p6,2055,0.001 +24|Central,2p6,2060,0.001 +24|Central,2p6,2065,0.001 +24|Central,2p6,2070,0.001 +24|Central,2p6,2075,0.001 +24|Central,2p6,2080,0.001 +24|Central,2p6,2085,0.001 +24|Central,2p6,2090,0.001 +24|Central,6p0,2020,0.001 +24|Central,6p0,2025,0.001 +24|Central,6p0,2030,0.001 +24|Central,6p0,2035,0.001 +24|Central,6p0,2040,0.001 +24|Central,6p0,2045,0.001 +24|Central,6p0,2050,0.001 +24|Central,6p0,2055,0.001 +24|Central,6p0,2060,0.001 +24|Central,6p0,2065,0.001 +24|Central,6p0,2070,0.001 +24|Central,6p0,2075,0.001 +24|Central,6p0,2080,0.001 +24|Central,6p0,2085,0.001 +24|Central,6p0,2090,0.001 +24|Central,no_climate,2020,0.001 +24|Central,no_climate,2025,0.001 +24|Central,no_climate,2030,0.001 +24|Central,no_climate,2035,0.001 +24|Central,no_climate,2040,0.001 +24|Central,no_climate,2045,0.001 +24|Central,no_climate,2050,0.001 +24|Central,no_climate,2055,0.001 +24|Central,no_climate,2060,0.001 +24|Central,no_climate,2065,0.001 +24|Central,no_climate,2070,0.001 +24|Central,no_climate,2075,0.001 +24|Central,no_climate,2080,0.001 +24|Central,no_climate,2085,0.001 +24|Central,no_climate,2090,0.001 +3|Lusaka,2p6,2020,0.001 +3|Lusaka,2p6,2025,0.001 +3|Lusaka,2p6,2030,0.001 +3|Lusaka,2p6,2035,0.001 +3|Lusaka,2p6,2040,0.001 +3|Lusaka,2p6,2045,0.001 +3|Lusaka,2p6,2050,0.001 +3|Lusaka,2p6,2055,0.001 +3|Lusaka,2p6,2060,0.001 +3|Lusaka,2p6,2065,0.001 +3|Lusaka,2p6,2070,0.001 +3|Lusaka,2p6,2075,0.001 +3|Lusaka,2p6,2080,0.001 +3|Lusaka,2p6,2085,0.001 +3|Lusaka,2p6,2090,0.001 +3|Lusaka,6p0,2020,0.001 +3|Lusaka,6p0,2025,0.001 +3|Lusaka,6p0,2030,0.001 +3|Lusaka,6p0,2035,0.001 +3|Lusaka,6p0,2040,0.001 +3|Lusaka,6p0,2045,0.001 +3|Lusaka,6p0,2050,0.001 +3|Lusaka,6p0,2055,0.001 +3|Lusaka,6p0,2060,0.001 +3|Lusaka,6p0,2065,0.001 +3|Lusaka,6p0,2070,0.001 +3|Lusaka,6p0,2075,0.001 +3|Lusaka,6p0,2080,0.001 +3|Lusaka,6p0,2085,0.001 +3|Lusaka,6p0,2090,0.001 +3|Lusaka,no_climate,2020,0.001 +3|Lusaka,no_climate,2025,0.001 +3|Lusaka,no_climate,2030,0.001 +3|Lusaka,no_climate,2035,0.001 +3|Lusaka,no_climate,2040,0.001 +3|Lusaka,no_climate,2045,0.001 +3|Lusaka,no_climate,2050,0.001 +3|Lusaka,no_climate,2055,0.001 +3|Lusaka,no_climate,2060,0.001 +3|Lusaka,no_climate,2065,0.001 +3|Lusaka,no_climate,2070,0.001 +3|Lusaka,no_climate,2075,0.001 +3|Lusaka,no_climate,2080,0.001 +3|Lusaka,no_climate,2085,0.001 +3|Lusaka,no_climate,2090,0.001 +4|Central,2p6,2020,0.001 +4|Central,2p6,2025,0.001 +4|Central,2p6,2030,0.001 +4|Central,2p6,2035,0.001 +4|Central,2p6,2040,0.001 +4|Central,2p6,2045,0.001 +4|Central,2p6,2050,0.001 +4|Central,2p6,2055,0.001 +4|Central,2p6,2060,0.001 +4|Central,2p6,2065,0.001 +4|Central,2p6,2070,0.001 +4|Central,2p6,2075,0.001 +4|Central,2p6,2080,0.001 +4|Central,2p6,2085,0.001 +4|Central,2p6,2090,0.001 +4|Central,6p0,2020,0.001 +4|Central,6p0,2025,0.001 +4|Central,6p0,2030,0.001 +4|Central,6p0,2035,0.001 +4|Central,6p0,2040,0.001 +4|Central,6p0,2045,0.001 +4|Central,6p0,2050,0.001 +4|Central,6p0,2055,0.001 +4|Central,6p0,2060,0.001 +4|Central,6p0,2065,0.001 +4|Central,6p0,2070,0.001 +4|Central,6p0,2075,0.001 +4|Central,6p0,2080,0.001 +4|Central,6p0,2085,0.001 +4|Central,6p0,2090,0.001 +4|Central,no_climate,2020,0.001 +4|Central,no_climate,2025,0.001 +4|Central,no_climate,2030,0.001 +4|Central,no_climate,2035,0.001 +4|Central,no_climate,2040,0.001 +4|Central,no_climate,2045,0.001 +4|Central,no_climate,2050,0.001 +4|Central,no_climate,2055,0.001 +4|Central,no_climate,2060,0.001 +4|Central,no_climate,2065,0.001 +4|Central,no_climate,2070,0.001 +4|Central,no_climate,2075,0.001 +4|Central,no_climate,2080,0.001 +4|Central,no_climate,2085,0.001 +4|Central,no_climate,2090,0.001 +5|Copperbelt,2p6,2020,0.001 +5|Copperbelt,2p6,2025,0.001 +5|Copperbelt,2p6,2030,0.001 +5|Copperbelt,2p6,2035,0.001 +5|Copperbelt,2p6,2040,0.001 +5|Copperbelt,2p6,2045,0.001 +5|Copperbelt,2p6,2050,0.001 +5|Copperbelt,2p6,2055,0.001 +5|Copperbelt,2p6,2060,0.001 +5|Copperbelt,2p6,2065,0.001 +5|Copperbelt,2p6,2070,0.001 +5|Copperbelt,2p6,2075,0.001 +5|Copperbelt,2p6,2080,0.001 +5|Copperbelt,2p6,2085,0.001 +5|Copperbelt,2p6,2090,0.001 +5|Copperbelt,6p0,2020,0.001 +5|Copperbelt,6p0,2025,0.001 +5|Copperbelt,6p0,2030,0.001 +5|Copperbelt,6p0,2035,0.001 +5|Copperbelt,6p0,2040,0.001 +5|Copperbelt,6p0,2045,0.001 +5|Copperbelt,6p0,2050,0.001 +5|Copperbelt,6p0,2055,0.001 +5|Copperbelt,6p0,2060,0.001 +5|Copperbelt,6p0,2065,0.001 +5|Copperbelt,6p0,2070,0.001 +5|Copperbelt,6p0,2075,0.001 +5|Copperbelt,6p0,2080,0.001 +5|Copperbelt,6p0,2085,0.001 +5|Copperbelt,6p0,2090,0.001 +5|Copperbelt,no_climate,2020,0.001 +5|Copperbelt,no_climate,2025,0.001 +5|Copperbelt,no_climate,2030,0.001 +5|Copperbelt,no_climate,2035,0.001 +5|Copperbelt,no_climate,2040,0.001 +5|Copperbelt,no_climate,2045,0.001 +5|Copperbelt,no_climate,2050,0.001 +5|Copperbelt,no_climate,2055,0.001 +5|Copperbelt,no_climate,2060,0.001 +5|Copperbelt,no_climate,2065,0.001 +5|Copperbelt,no_climate,2070,0.001 +5|Copperbelt,no_climate,2075,0.001 +5|Copperbelt,no_climate,2080,0.001 +5|Copperbelt,no_climate,2085,0.001 +5|Copperbelt,no_climate,2090,0.001 +6|Lusaka,2p6,2020,0.001 +6|Lusaka,2p6,2025,0.001 +6|Lusaka,2p6,2030,0.001 +6|Lusaka,2p6,2035,0.001 +6|Lusaka,2p6,2040,0.001 +6|Lusaka,2p6,2045,0.001 +6|Lusaka,2p6,2050,0.001 +6|Lusaka,2p6,2055,0.001 +6|Lusaka,2p6,2060,0.001 +6|Lusaka,2p6,2065,0.001 +6|Lusaka,2p6,2070,0.001 +6|Lusaka,2p6,2075,0.001 +6|Lusaka,2p6,2080,0.001 +6|Lusaka,2p6,2085,0.001 +6|Lusaka,2p6,2090,0.001 +6|Lusaka,6p0,2020,0.001 +6|Lusaka,6p0,2025,0.001 +6|Lusaka,6p0,2030,0.001 +6|Lusaka,6p0,2035,0.001 +6|Lusaka,6p0,2040,0.001 +6|Lusaka,6p0,2045,0.001 +6|Lusaka,6p0,2050,0.001 +6|Lusaka,6p0,2055,0.001 +6|Lusaka,6p0,2060,0.001 +6|Lusaka,6p0,2065,0.001 +6|Lusaka,6p0,2070,0.001 +6|Lusaka,6p0,2075,0.001 +6|Lusaka,6p0,2080,0.001 +6|Lusaka,6p0,2085,0.001 +6|Lusaka,6p0,2090,0.001 +6|Lusaka,no_climate,2020,0.001 +6|Lusaka,no_climate,2025,0.001 +6|Lusaka,no_climate,2030,0.001 +6|Lusaka,no_climate,2035,0.001 +6|Lusaka,no_climate,2040,0.001 +6|Lusaka,no_climate,2045,0.001 +6|Lusaka,no_climate,2050,0.001 +6|Lusaka,no_climate,2055,0.001 +6|Lusaka,no_climate,2060,0.001 +6|Lusaka,no_climate,2065,0.001 +6|Lusaka,no_climate,2070,0.001 +6|Lusaka,no_climate,2075,0.001 +6|Lusaka,no_climate,2080,0.001 +6|Lusaka,no_climate,2085,0.001 +6|Lusaka,no_climate,2090,0.001 +7|Lusaka,2p6,2020,0.001 +7|Lusaka,2p6,2025,0.001 +7|Lusaka,2p6,2030,0.001 +7|Lusaka,2p6,2035,0.001 +7|Lusaka,2p6,2040,0.001 +7|Lusaka,2p6,2045,0.001 +7|Lusaka,2p6,2050,0.001 +7|Lusaka,2p6,2055,0.001 +7|Lusaka,2p6,2060,0.001 +7|Lusaka,2p6,2065,0.001 +7|Lusaka,2p6,2070,0.001 +7|Lusaka,2p6,2075,0.001 +7|Lusaka,2p6,2080,0.001 +7|Lusaka,2p6,2085,0.001 +7|Lusaka,2p6,2090,0.001 +7|Lusaka,6p0,2020,0.001 +7|Lusaka,6p0,2025,0.001 +7|Lusaka,6p0,2030,0.001 +7|Lusaka,6p0,2035,0.001 +7|Lusaka,6p0,2040,0.001 +7|Lusaka,6p0,2045,0.001 +7|Lusaka,6p0,2050,0.001 +7|Lusaka,6p0,2055,0.001 +7|Lusaka,6p0,2060,0.001 +7|Lusaka,6p0,2065,0.001 +7|Lusaka,6p0,2070,0.001 +7|Lusaka,6p0,2075,0.001 +7|Lusaka,6p0,2080,0.001 +7|Lusaka,6p0,2085,0.001 +7|Lusaka,6p0,2090,0.001 +7|Lusaka,no_climate,2020,0.001 +7|Lusaka,no_climate,2025,0.001 +7|Lusaka,no_climate,2030,0.001 +7|Lusaka,no_climate,2035,0.001 +7|Lusaka,no_climate,2040,0.001 +7|Lusaka,no_climate,2045,0.001 +7|Lusaka,no_climate,2050,0.001 +7|Lusaka,no_climate,2055,0.001 +7|Lusaka,no_climate,2060,0.001 +7|Lusaka,no_climate,2065,0.001 +7|Lusaka,no_climate,2070,0.001 +7|Lusaka,no_climate,2075,0.001 +7|Lusaka,no_climate,2080,0.001 +7|Lusaka,no_climate,2085,0.001 +7|Lusaka,no_climate,2090,0.001 +8|North-Western,2p6,2020,0.001 +8|North-Western,2p6,2025,0.001 +8|North-Western,2p6,2030,0.001 +8|North-Western,2p6,2035,0.001 +8|North-Western,2p6,2040,0.001 +8|North-Western,2p6,2045,0.001 +8|North-Western,2p6,2050,0.001 +8|North-Western,2p6,2055,0.001 +8|North-Western,2p6,2060,0.001 +8|North-Western,2p6,2065,0.001 +8|North-Western,2p6,2070,0.001 +8|North-Western,2p6,2075,0.001 +8|North-Western,2p6,2080,0.001 +8|North-Western,2p6,2085,0.001 +8|North-Western,2p6,2090,0.001 +8|North-Western,6p0,2020,0.001 +8|North-Western,6p0,2025,0.001 +8|North-Western,6p0,2030,0.001 +8|North-Western,6p0,2035,0.001 +8|North-Western,6p0,2040,0.001 +8|North-Western,6p0,2045,0.001 +8|North-Western,6p0,2050,0.001 +8|North-Western,6p0,2055,0.001 +8|North-Western,6p0,2060,0.001 +8|North-Western,6p0,2065,0.001 +8|North-Western,6p0,2070,0.001 +8|North-Western,6p0,2075,0.001 +8|North-Western,6p0,2080,0.001 +8|North-Western,6p0,2085,0.001 +8|North-Western,6p0,2090,0.001 +8|North-Western,no_climate,2020,0.001 +8|North-Western,no_climate,2025,0.001 +8|North-Western,no_climate,2030,0.001 +8|North-Western,no_climate,2035,0.001 +8|North-Western,no_climate,2040,0.001 +8|North-Western,no_climate,2045,0.001 +8|North-Western,no_climate,2050,0.001 +8|North-Western,no_climate,2055,0.001 +8|North-Western,no_climate,2060,0.001 +8|North-Western,no_climate,2065,0.001 +8|North-Western,no_climate,2070,0.001 +8|North-Western,no_climate,2075,0.001 +8|North-Western,no_climate,2080,0.001 +8|North-Western,no_climate,2085,0.001 +8|North-Western,no_climate,2090,0.001 +9|Western,2p6,2020,0.001 +9|Western,2p6,2025,0.001 +9|Western,2p6,2030,0.001 +9|Western,2p6,2035,0.001 +9|Western,2p6,2040,0.001 +9|Western,2p6,2045,0.001 +9|Western,2p6,2050,0.001 +9|Western,2p6,2055,0.001 +9|Western,2p6,2060,0.001 +9|Western,2p6,2065,0.001 +9|Western,2p6,2070,0.001 +9|Western,2p6,2075,0.001 +9|Western,2p6,2080,0.001 +9|Western,2p6,2085,0.001 +9|Western,2p6,2090,0.001 +9|Western,6p0,2020,0.001 +9|Western,6p0,2025,0.001 +9|Western,6p0,2030,0.001 +9|Western,6p0,2035,0.001 +9|Western,6p0,2040,0.001 +9|Western,6p0,2045,0.001 +9|Western,6p0,2050,0.001 +9|Western,6p0,2055,0.001 +9|Western,6p0,2060,0.001 +9|Western,6p0,2065,0.001 +9|Western,6p0,2070,0.001 +9|Western,6p0,2075,0.001 +9|Western,6p0,2080,0.001 +9|Western,6p0,2085,0.001 +9|Western,6p0,2090,0.001 +9|Western,no_climate,2020,0.001 +9|Western,no_climate,2025,0.001 +9|Western,no_climate,2030,0.001 +9|Western,no_climate,2035,0.001 +9|Western,no_climate,2040,0.001 +9|Western,no_climate,2045,0.001 +9|Western,no_climate,2050,0.001 +9|Western,no_climate,2055,0.001 +9|Western,no_climate,2060,0.001 +9|Western,no_climate,2065,0.001 +9|Western,no_climate,2070,0.001 +9|Western,no_climate,2075,0.001 +9|Western,no_climate,2080,0.001 +9|Western,no_climate,2085,0.001 +9|Western,no_climate,2090,0.001 +1|Eastern,7p0,2020,0.001 +1|Eastern,7p0,2025,0.001 +1|Eastern,7p0,2030,0.001 +1|Eastern,7p0,2035,0.001 +1|Eastern,7p0,2040,0.001 +1|Eastern,7p0,2045,0.001 +1|Eastern,7p0,2050,0.001 +1|Eastern,7p0,2055,0.001 +1|Eastern,7p0,2060,0.001 +1|Eastern,7p0,2065,0.001 +1|Eastern,7p0,2070,0.001 +1|Eastern,7p0,2075,0.001 +1|Eastern,7p0,2080,0.001 +1|Eastern,7p0,2085,0.001 +1|Eastern,7p0,2090,0.001 +10|Lusaka,7p0,2020,0.001 +10|Lusaka,7p0,2025,0.001 +10|Lusaka,7p0,2030,0.001 +10|Lusaka,7p0,2035,0.001 +10|Lusaka,7p0,2040,0.001 +10|Lusaka,7p0,2045,0.001 +10|Lusaka,7p0,2050,0.001 +10|Lusaka,7p0,2055,0.001 +10|Lusaka,7p0,2060,0.001 +10|Lusaka,7p0,2065,0.001 +10|Lusaka,7p0,2070,0.001 +10|Lusaka,7p0,2075,0.001 +10|Lusaka,7p0,2080,0.001 +10|Lusaka,7p0,2085,0.001 +10|Lusaka,7p0,2090,0.001 +11|Southern,7p0,2020,0.001 +11|Southern,7p0,2025,0.001 +11|Southern,7p0,2030,0.001 +11|Southern,7p0,2035,0.001 +11|Southern,7p0,2040,0.001 +11|Southern,7p0,2045,0.001 +11|Southern,7p0,2050,0.001 +11|Southern,7p0,2055,0.001 +11|Southern,7p0,2060,0.001 +11|Southern,7p0,2065,0.001 +11|Southern,7p0,2070,0.001 +11|Southern,7p0,2075,0.001 +11|Southern,7p0,2080,0.001 +11|Southern,7p0,2085,0.001 +11|Southern,7p0,2090,0.001 +12|Western,7p0,2020,0.001 +12|Western,7p0,2025,0.001 +12|Western,7p0,2030,0.001 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+"solar_th_ppl.air","solar_th_ppl","air",0.018,0.004,0.002,0.001,0.02,0.001,0.014,0.003,0.009,0.001,0,0,0,0.001 diff --git a/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_cooling_type.csv b/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_cooling_type.csv deleted file mode 100644 index 9c47ea52bb..0000000000 --- a/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_cooling_type.csv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7a6f722103b60992412aba1f51cf3bbaad06d585de044b7c6b0824a5855fc19d -size 401 diff --git a/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_unit_type.csv b/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_unit_type.csv deleted file mode 100644 index 6c3238dbdc..0000000000 --- a/message_ix_models/data/water/ppl_cooling_tech/raptis_types_map_unit_type.csv +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1370ec1ee0a88142c4aed8724b5fa8b0a0e94b9a7c35d5cc81e0475c9e9c7236 -size 1062 diff --git a/message_ix_models/data/water/ppl_cooling_tech/tech_names_ssp_msg.csv b/message_ix_models/data/water/ppl_cooling_tech/tech_names_ssp_msg.csv index b9296a1dac..6a817e674b 100644 --- a/message_ix_models/data/water/ppl_cooling_tech/tech_names_ssp_msg.csv +++ b/message_ix_models/data/water/ppl_cooling_tech/tech_names_ssp_msg.csv @@ -1,3 +1,204 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6a7dca2e09101660bd1f6ece6bc00fe82e4db1c055dd30208fe3716aef453f5b -size 15268 +Technology Name,Technology Group,Activity,Water Source,Water Withdrawal Low m3 per activity,Water Withdrawal Mid m3 per activity,Water Withdrawal High m3 per activity,Water Consumption Low m3 per activity,Water Consumption Mid m3 per activity,Water Consumption High m3 per activity,Cooling Fraction,Thermal Water Pollution Fraction,Parasitic Electricity Demand Fraction +bio_extr_1,extraction,,Fresh,NA,NA,NA,NA,NA,NA,0,NA,NA 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+lignite[d],resource,,Fresh,0.007,0.077,0.146,0.006,0.059,0.111,0,NA,NA +lignite[e],resource,,Fresh,0.007,0.077,0.146,0.006,0.059,0.111,0,NA,NA +oil_extr_1,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_1_ch4,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_2,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_2_ch4,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_3,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_3_ch4,extraction,,Fresh,0.026,0.028,0.029,0.024,0.025,0.026,0,NA,NA +oil_extr_4,extraction,,Fresh,0.094,0.119,0.144,0.078,0.099,0.12,0,NA,NA +oil_extr_5,extraction,,Fresh,0.094,0.119,0.144,0.078,0.099,0.12,0,NA,NA +oil_extr_6,extraction,,Fresh,0.094,0.119,0.144,0.078,0.099,0.12,0,NA,NA +oil_extr_7,extraction,,Fresh,0.094,0.119,0.144,0.078,0.099,0.12,0,NA,NA +oil_extr_8,extraction,,Fresh,0.094,0.119,0.144,0.078,0.099,0.12,0,NA,NA +gas_extr_1,extraction,,Fresh,0.001,0.002,0.002,0,0.001,0.001,0,NA,NA +gas_extr_2,extraction,,Fresh,0.001,0.002,0.002,0,0.001,0.001,0,NA,NA +gas_extr_3,extraction,,Fresh,0.001,0.002,0.002,0,0.001,0.001,0,NA,NA +gas_extr_4,extraction,,Fresh,0.003,0.012,0.02,0.002,0.01,0.017,0,NA,NA +gas_extr_5,extraction,,Fresh,0.003,0.012,0.02,0.002,0.01,0.017,0,NA,NA +gas_extr_6,extraction,,Fresh,0.003,0.012,0.02,0.002,0.01,0.017,0,NA,NA +gas_extr_7,extraction,,Fresh,0.003,0.012,0.02,0.002,0.01,0.017,0,NA,NA +gas_extr_8,extraction,,Fresh,0.003,0.012,0.02,0.002,0.01,0.017,0,NA,NA +uran2u5,extraction,,Fresh,0.025,0.028,0.03,0.023,0.025,0.027,0,NA,NA +Uran_extr,extraction,,Fresh,0.025,0.028,0.03,0.023,0.025,0.027,0,NA,NA +coal_gas,conversion,,Fresh,0.033,0.05,0.067,0.028,0.042,0.056,0,NA,NA +syn_liq,conversion,,Fresh,0.163,0.326,0.488,0.136,0.272,0.407,0,NA,NA +syn_liq_ccs,conversion,,Fresh,0.215,0.431,0.646,0.18,0.36,0.539,0,NA,NA +ref_lol,conversion,,Fresh,0.034,0.06,0.086,0.029,0.051,0.072,0,NA,NA +ref_hil,conversion,,Fresh,0.072,0.108,0.144,0.06,0.09,0.12,0,NA,NA +eth_bio,conversion,,Fresh,0.199,0.27,0.341,0.166,0.225,0.284,0,NA,NA +eth_bio_ccs,conversion,,Fresh,0.264,0.358,0.452,0.22,0.299,0.377,0,NA,NA +liq_bio,conversion,,Fresh,0.415,0.415,0.415,0.346,0.346,0.346,0,NA,NA +liq_bio_ccs,conversion,,Fresh,0.55,0.55,0.55,0.458,0.458,0.458,0,NA,NA +meth_ng,conversion,,Fresh,0.085,0.222,0.358,0.07,0.184,0.298,0,NA,NA +meth_ng_ccs,conversion,,Fresh,0.112,0.293,0.474,0.093,0.244,0.395,0,NA,NA +meth_coal ,conversion,,Fresh,0.163,0.326,0.488,0.136,0.272,0.407,0,NA,NA +meth_coal_ccs,conversion,,Fresh,0.215,0.431,0.646,0.18,0.36,0.539,0,NA,NA +gas_bio,conversion,,Fresh,0.033,0.05,0.067,0.028,0.042,0.056,0,NA,NA +h2_bio,conversion,,Fresh,0.12,0.24,0.36,0.1,0.2,0.3,0,NA,NA +h2_bio_ccs,conversion,,Fresh,0.159,0.318,0.477,0.132,0.265,0.397,0,NA,NA +h2_smr,conversion,,Fresh,0.171,0.171,0.171,0.142,0.142,0.142,0,NA,NA +h2_smr_ccs,conversion,,Fresh,0.226,0.226,0.226,0.189,0.189,0.189,0,NA,NA +h2_coal,conversion,,Fresh,0.12,0.24,0.36,0.1,0.2,0.3,0,NA,NA +h2_coal_ccs,conversion,,Fresh,0.159,0.318,0.477,0.132,0.265,0.397,0,NA,NA +h2_elec,conversion,,Fresh,0.625,0.625,0.625,0.52,0.52,0.52,0,NA,NA +cement_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +SO2_scrub_BS,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +SO2_scrub_ppl,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +SO2_scrub_ind,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +SO2_scrub_synf,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +SO2_scrub_ref,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +g_ppl_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +c_ppl_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +igcc_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +gfc_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +cfc_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +h2_co2_scrub,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +bio_ppl_co2scr,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +h2b_co2_scrub,scrubber,,Fresh,0,0,0,0,0,0,0,NA,NA +coal_ppl_u,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +coal_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +coal_adv,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +coal_adv_ccs,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +foil_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +loil_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +loil_cc,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +gas_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +gas_ct,powerplant,MWh,Fresh,0.001,0.001,0.001,0.001,0.001,0.001,0,NA,NA +gas_cc,powerplant,MWh,Fresh,0.02,0.025,0.03,0.02,0.025,0.03,1,NA,NA +gas_cc_ccs,powerplant,MWh,Fresh,0.05,0.055,0.06,0.05,0.055,0.06,1,NA,NA +gas_htfc,powerplant,MWh,Fresh,0.001,0.001,0.001,0.001,0.001,0.001,0,NA,NA +bio_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +bio_istig,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +bio_istig_ccs,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +mw_ppl,powerplant,MWh,Fresh,0.2,0.25,0.3,0.2,0.25,0.3,1,NA,NA +igcc,powerplant,MWh,Fresh,0.1,0.15,0.2,0.1,0.15,0.2,1,NA,NA +igcc_ccs,powerplant,MWh,Fresh,0.4,0.425,0.45,0.4,0.425,0.45,1,NA,NA +nuc_lc,powerplant,MWh,Fresh,0.02,0.025,0.03,0.02,0.025,0.03,1,NA,NA +nuc_hc,powerplant,MWh,Fresh,0.02,0.025,0.03,0.02,0.025,0.03,1,NA,NA +nuc_fbr,powerplant,MWh,Fresh,0.02,0.025,0.03,0.02,0.025,0.03,1,NA,NA +nuc_htemp,powerplant,MWh,Fresh,0.02,0.025,0.03,0.02,0.025,0.03,1,NA,NA +hydro_lc,powerplant,MWh,Fresh,4.722,11.825,18.927,4.722,11.825,18.927,0,NA,NA +hydro_hc,powerplant,MWh,Fresh,4.722,11.825,18.927,4.722,11.825,18.927,0,NA,NA +geo_ppl,powerplant,MWh,Fresh,0.05,0.175,0.3,0.05,0.175,0.3,1,NA,NA +geo_hpl,powerplant,MWh,Fresh,0.006,0.007,0.008,0.006,0.007,0.008,1,NA,NA +solar_th_ppl,powerplant,MWh,Fresh,0.05,0.175,0.3,0.05,0.175,0.3,1,NA,NA +solar_pv_ppl,powerplant,MWh,Fresh,0,0.003,0.006,0,0.003,0.006,0,NA,NA +wind_ppl,powerplant,MWh,Fresh,0,0.001,0.001,0,0.001,0.001,0,NA,NA +foil_hpl,powerplant,MWh,Fresh,0.006,0.007,0.008,0.006,0.007,0.008,1,NA,NA +gas_hpl,powerplant,MWh,Fresh,0.006,0.007,0.008,0.006,0.007,0.008,1,NA,NA +bio_hpl,powerplant,MWh,Fresh,0.006,0.007,0.008,0.006,0.007,0.008,1,NA,NA +ot_fresh_nuc_lc,cooling,MWh,Fresh,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_fresh_gas_cc,cooling,MWh,Fresh,27.255,34.069,79.494,0.076,0.379,0.871,0,0.7,0 +ot_fresh_gas_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_fresh_coal_ppl,cooling,MWh,Fresh,56.781,132.489,215.768,0.269,0.53,1.325,0,0.65,0 +ot_fresh_coal_adv_ccs,cooling,MWh,Fresh,156.716,156.716,156.716,0.436,0.681,0.818,0,0.83,0 +ot_fresh_gas_cc_ccs,cooling,MWh,Fresh,49.059,61.324,143.088,0.136,0.681,1.567,0,0.88,0 +ot_fresh_loil_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_fresh_loil_cc,cooling,MWh,Fresh,27.255,34.069,79.494,0.076,0.379,0.871,0,0.71,0 +ot_fresh_coal_adv,cooling,MWh,Fresh,87.064,87.064,87.064,0.242,0.379,0.454,0,0.69,0 +ot_fresh_geo_ppl,cooling,MWh,Fresh,45.214,126.421,227.143,0.126,0.55,1.185,0,0.43,0 +ot_fresh_bio_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_fresh_mw_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_fresh_solar_th_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.88,0 +ot_fresh_nuc_hc,cooling,MWh,Fresh,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_fresh_gas_hpl,cooling,MWh,Fresh,27.255,34.069,79.494,0.076,0.379,0.871,0,0.69,0 +ot_fresh_coal_ppl_u,cooling,MWh,Fresh,56.781,132.489,215.768,0.269,0.53,1.325,0,0.65,0 +ot_fresh_igcc_ccs,cooling,MWh,Fresh,101.865,101.865,101.865,0.283,0.443,0.531,0,0.68,0 +ot_fresh_foil_ppl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_fresh_igcc,cooling,MWh,Fresh,56.592,56.592,56.592,0.157,0.246,0.295,0,0.64,0 +ot_fresh_geo_hpl,cooling,MWh,Fresh,45.214,126.421,227.143,0.126,0.55,1.185,0,0.43,0 +ot_fresh_bio_istig,cooling,MWh,Fresh,86.118,88.579,91.039,0.467,0.714,1.009,0,0.69,0 +ot_fresh_nuc_fbr,cooling,MWh,Fresh,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_fresh_bio_istig_ccs,cooling,MWh,Fresh,238.481,245.295,252.108,1.295,1.976,2.794,0,0.83,0 +ot_fresh_foil_hpl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_fresh_bio_hpl,cooling,MWh,Fresh,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_fresh_nuc_htemp,cooling,MWh,Fresh,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +cl_fresh_nuc_lc,cooling,MWh,Fresh,2.461,4.164,28.391,1.855,2.517,3.047,0,0,0.019 +cl_fresh_gas_cc,cooling,MWh,Fresh,0.568,0.946,2.877,0.178,0.795,1.136,0,0,0.004 +cl_fresh_gas_ppl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_coal_ppl,cooling,MWh,Fresh,1.741,2.498,4.542,0.757,2.006,4.353,0,0,0.017 +cl_fresh_coal_adv_ccs,cooling,MWh,Fresh,4.164,4.164,4.164,3.218,3.331,3.445,0,0,0.017 +cl_fresh_gas_cc_ccs,cooling,MWh,Fresh,1.855,1.931,1.931,1.438,1.438,1.438,0,0,0.004 +cl_fresh_loil_ppl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_loil_cc,cooling,MWh,Fresh,0.568,0.946,2.877,0.178,0.795,1.136,0,0,0.017 +cl_fresh_coal_adv,cooling,MWh,Fresh,2.196,2.271,2.536,1.741,1.893,2.233,0,0,0.017 +cl_fresh_geo_ppl,cooling,MWh,Fresh,0.617,1.438,10.234,0.586,1.367,9.722,0,0,0.017 +cl_fresh_bio_ppl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_mw_ppl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_solar_th_ppl,cooling,MWh,Fresh,3.293,3.634,7.192,2.12,3.369,7.192,0,0,0.017 +cl_fresh_nuc_hc,cooling,MWh,Fresh,2.461,4.164,28.391,1.855,2.517,3.047,0,0,0.019 +cl_fresh_gas_hpl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_coal_ppl_u,cooling,MWh,Fresh,1.741,2.498,4.542,0.757,2.006,4.353,0,0,0.017 +cl_fresh_igcc_ccs,cooling,MWh,Fresh,1.817,2.423,2.801,1.968,2.082,2.271,0,0,0.017 +cl_fresh_foil_ppl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_igcc,cooling,MWh,Fresh,0.606,1.476,25.362,0.132,1.211,1.666,0,0,0.017 +cl_fresh_geo_hpl,cooling,MWh,Fresh,0.617,1.438,10.234,0.586,1.367,9.722,0,0,0.017 +cl_fresh_bio_istig,cooling,MWh,Fresh,0.606,1.476,25.362,0.132,1.211,1.666,0,0,0.017 +cl_fresh_nuc_fbr,cooling,MWh,Fresh,2.461,4.164,28.391,1.855,2.517,3.047,0,0,0.019 +cl_fresh_bio_istig_ccs,cooling,MWh,Fresh,1.817,2.423,2.801,1.968,2.082,2.271,0,0,0.017 +cl_fresh_foil_hpl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_bio_hpl,cooling,MWh,Fresh,4.542,4.542,4.542,2.12,2.763,4.164,0,0,0.017 +cl_fresh_nuc_htemp,cooling,MWh,Fresh,2.461,4.164,28.391,1.855,2.517,3.047,0,0,0.019 +ot_saline_nuc_lc,cooling,MWh,Saline,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_saline_gas_cc,cooling,MWh,Saline,27.255,34.069,79.494,0.076,0.379,0.871,0,0.7,0 +ot_saline_gas_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_saline_coal_ppl,cooling,MWh,Saline,56.781,132.489,215.768,0.269,0.53,1.325,0,0.65,0 +ot_saline_coal_adv_ccs,cooling,MWh,Saline,156.716,156.716,156.716,0.436,0.681,0.818,0,0.83,0 +ot_saline_gas_cc_ccs,cooling,MWh,Saline,49.059,61.324,143.088,0.136,0.681,1.567,0,0.88,0 +ot_saline_loil_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_saline_loil_cc,cooling,MWh,Saline,27.255,34.069,79.494,0.076,0.379,0.871,0,0.71,0 +ot_saline_coal_adv,cooling,MWh,Saline,87.064,87.064,87.064,0.242,0.379,0.454,0,0.69,0 +ot_saline_geo_ppl,cooling,MWh,Saline,45.214,126.421,227.143,0.126,0.55,1.185,0,0.43,0 +ot_saline_bio_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_saline_mw_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_saline_solar_th_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.88,0 +ot_saline_nuc_hc,cooling,MWh,Saline,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_saline_gas_hpl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_saline_coal_ppl_u,cooling,MWh,Saline,56.781,132.489,215.768,0.269,0.53,1.325,0,0.65,0 +ot_saline_igcc_ccs,cooling,MWh,Saline,101.865,101.865,101.865,0.283,0.443,0.531,0,0.68,0 +ot_saline_foil_ppl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_saline_igcc,cooling,MWh,Saline,56.592,56.592,56.592,0.157,0.246,0.295,0,0.64,0 +ot_saline_geo_hpl,cooling,MWh,Saline,45.214,126.421,227.143,0.126,0.55,1.185,0,0.43,0 +ot_saline_bio_istig,cooling,MWh,Saline,56.592,56.592,56.592,0.157,0.246,0.295,0,0.69,0 +ot_saline_nuc_fbr,cooling,MWh,Saline,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +ot_saline_bio_istig_ccs,cooling,MWh,Saline,101.865,101.865,101.865,0.283,0.443,0.531,0,0.83,0 +ot_saline_foil_hpl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.69,0 +ot_saline_bio_hpl,cooling,MWh,Saline,132.489,136.275,140.06,0.719,1.098,1.552,0,0.65,0 +ot_saline_nuc_htemp,cooling,MWh,Saline,87.064,177.914,227.125,0.379,1.514,1.514,0,0.85,0 +air_gas_cc,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.029 +air_gas_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_coal_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_loil_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_loil_cc,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.029 +air_coal_adv,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_geo_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_bio_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_mw_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_solar_th_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_gas_hpl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_coal_ppl_u,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_foil_ppl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_igcc,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_geo_hpl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_bio_istig,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_foil_hpl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 +air_bio_hpl,cooling,MWh,NA,NA,NA,NA,NA,NA,NA,NA,NA,0.102 diff --git a/message_ix_models/data/water/ppl_cooling_tech/tech_water_performance_ssp_msg.csv b/message_ix_models/data/water/ppl_cooling_tech/tech_water_performance_ssp_msg.csv index ea5d7e0cf8..67d0393ce1 100644 --- a/message_ix_models/data/water/ppl_cooling_tech/tech_water_performance_ssp_msg.csv +++ b/message_ix_models/data/water/ppl_cooling_tech/tech_water_performance_ssp_msg.csv @@ -1,3 +1,263 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5da3683b8d9f939d0d3277f8d97244d6c55a651228d5e13bd4e191a9f92ecb78 -size 17428 +technology_name,technology_group,output,water_supply_type,water_withdrawal_low_m3_per_output,water_withdrawal_mid_m3_per_output,water_withdrawal_high_m3_per_output,water_consumption_low_m3_per_output,water_consumption_mid_m3_per_output,water_consumption_high_m3_per_output,requires_cooling,emissions_heat_fraction,parasitic_electricity_demand_fraction +EJ2GWyr,extraction,GJ,upstream_landuse,0,0,0,0,0,0,N,0,0 +coal_extr,extraction,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal_extr_ch4,extraction,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal[a],resource,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal[b],resource,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal[c],resource,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal[d],resource,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 +coal[e],resource,GJ,freshwater_supply,0.002,0.038,0.073,0.002,0.032,0.061,N,0,0 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+loil_cc__ot_fresh,cooling,GJ,freshwater_supply,7.571,9.464,22.082,0.021,0.105,0.242,N,0,0 +coal_adv__ot_fresh,cooling,GJ,freshwater_supply,24.184,24.184,24.184,0.067,0.105,0.126,N,0,0 +geo_ppl__ot_fresh,cooling,GJ,freshwater_supply,12.559,35.117,63.095,0.035,0.153,0.329,N,0,0 +bio_ppl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +mw_ppl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +solar_th_ppl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +nuc_hc__ot_fresh,cooling,GJ,freshwater_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +gas_hp__ot_fresh,cooling,GJ,freshwater_supply,7.571,9.464,22.082,0.021,0.105,0.242,N,0,0 +coal_pp_u__ot_fresh,cooling,GJ,freshwater_supply,15.773,36.803,59.936,0.075,0.147,0.368,N,0,0 +igcc_ccs__ot_fresh,cooling,GJ,freshwater_supply,28.296,28.296,28.296,0.079,0.123,0.148,N,0,0 +foil_ppl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +igcc__ot_fresh,cooling,GJ,freshwater_supply,15.72,15.72,15.72,0.044,0.068,0.082,N,0,0 +geo_hpl__ot_fresh,cooling,GJ,freshwater_supply,12.559,35.117,63.095,0.035,0.153,0.329,N,0,0 +bio_istig__ot_fresh,cooling,GJ,freshwater_supply,23.922,24.605,25.289,0.13,0.198,0.28,N,0,0 +nuc_fbr__ot_fresh,cooling,GJ,freshwater_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +bio_istig_ccs__ot_fresh,cooling,GJ,freshwater_supply,66.245,68.138,70.03,0.36,0.549,0.776,N,0,0 +foil_hpl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +bio_hpl__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +ot_fresh_nuc_htemp,cooling,GJ,freshwater_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +nuc_lc__cl_fresh,cooling,GJ,freshwater_supply,0.684,1.157,7.886,0.515,0.699,0.846,N,0,0.019 +gas_cc__cl_fresh,cooling,GJ,freshwater_supply,0.158,0.263,0.799,0.049,0.221,0.316,N,0,0.004 +gas_ppl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +coal_ppl__cl_fresh,cooling,GJ,freshwater_supply,0.484,0.694,1.262,0.21,0.557,1.209,N,0,0.017 +coal_adv_ccs__cl_fresh,cooling,GJ,freshwater_supply,1.157,1.157,1.157,0.894,0.925,0.957,N,0,0.017 +gas_cc_ccs__cl_fresh,cooling,GJ,freshwater_supply,0.515,0.536,0.536,0.399,0.399,0.399,N,0,0.004 +loil_ppl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +loil_cc__cl_fresh,cooling,GJ,freshwater_supply,0.158,0.263,0.799,0.049,0.221,0.316,N,0,0.017 +coal_adv__cl_fresh,cooling,GJ,freshwater_supply,0.61,0.631,0.704,0.484,0.526,0.62,N,0,0.017 +geo_ppl__cl_fresh,cooling,GJ,freshwater_supply,0.171,0.399,2.843,0.163,0.38,2.701,N,0,0.017 +bio_ppl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +mw_ppl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +solar_th_ppl__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +nuc_hc__cl_fresh,cooling,GJ,freshwater_supply,0.684,1.157,7.886,0.515,0.699,0.846,N,0,0.019 +gas_hpl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +coal_ppl_u__cl_fresh,cooling,GJ,freshwater_supply,0.484,0.694,1.262,0.21,0.557,1.209,N,0,0.017 +igcc_ccs__cl_fresh,cooling,GJ,freshwater_supply,0.505,0.673,0.778,0.547,0.578,0.631,N,0,0.017 +foil_ppl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +igcc__cl_fresh,cooling,GJ,freshwater_supply,0.168,0.41,7.045,0.037,0.336,0.463,N,0,0.017 +geo_hpl__cl_fresh,cooling,GJ,freshwater_supply,0.171,0.399,2.843,0.163,0.38,2.701,N,0,0.017 +bio_istig__cl_fresh,cooling,GJ,freshwater_supply,0.168,0.41,7.045,0.037,0.336,0.463,N,0,0.017 +nuc_fbr__cl_fresh,cooling,GJ,freshwater_supply,0.684,1.157,7.886,0.515,0.699,0.846,N,0,0.019 +bio_istig_ccs__cl_fresh,cooling,GJ,freshwater_supply,0.505,0.673,0.778,0.547,0.578,0.631,N,0,0.017 +foil_hpl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +bio_hpl__cl_fresh,cooling,GJ,freshwater_supply,1.262,1.262,1.262,0.589,0.768,1.157,N,0,0.017 +nuc_htemp__cl_fresh,cooling,GJ,freshwater_supply,0.684,1.157,7.886,0.515,0.699,0.846,N,0,0.019 +nuc_lc__ot_saline,cooling,GJ,saline_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +gas_cc__ot_saline,cooling,GJ,saline_supply,7.571,9.464,22.082,0.021,0.105,0.242,N,0,0 +gas_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +coal_ppl__ot_saline,cooling,GJ,saline_supply,15.773,36.803,59.936,0.075,0.147,0.368,N,0,0 +coal_adv_ccs__ot_saline,cooling,GJ,saline_supply,43.532,43.532,43.532,0.121,0.189,0.227,N,0,0 +gas_cc_ccs__ot_saline,cooling,GJ,saline_supply,13.628,17.034,39.747,0.038,0.189,0.435,N,0,0 +loil_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +loil_cc__ot_saline,cooling,GJ,saline_supply,7.571,9.464,22.082,0.021,0.105,0.242,N,0,0 +coal_adv__ot_saline,cooling,GJ,saline_supply,24.184,24.184,24.184,0.067,0.105,0.126,N,0,0 +geo_ppl__ot_saline,cooling,GJ,saline_supply,12.559,35.117,63.095,0.035,0.153,0.329,N,0,0 +bio_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +mw_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +solar_th_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +nuc_hc__ot_saline,cooling,GJ,saline_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +gas_hpl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +coal_ppl_u__ot_saline,cooling,GJ,saline_supply,15.773,36.803,59.936,0.075,0.147,0.368,N,0,0 +igcc_ccs__ot_saline,cooling,GJ,saline_supply,28.296,28.296,28.296,0.079,0.123,0.148,N,0,0 +foil_ppl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +igcc__ot_saline,cooling,GJ,saline_supply,15.72,15.72,15.72,0.044,0.068,0.082,N,0,0 +geo_hpl__ot_saline,cooling,GJ,saline_supply,12.559,35.117,63.095,0.035,0.153,0.329,N,0,0 +bio_istig__ot_saline,cooling,GJ,saline_supply,15.72,15.72,15.72,0.044,0.068,0.082,N,0,0 +nuc_fbr__ot_saline,cooling,GJ,saline_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +bio_istig_ccs__ot_saline,cooling,GJ,saline_supply,28.296,28.296,28.296,0.079,0.123,0.148,N,0,0 +foil_hpl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +bio_hpl__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +nuc_htemp__ot_saline,cooling,GJ,saline_supply,24.184,49.421,63.09,0.105,0.421,0.421,N,0,0 +gas_cc__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.029 +gas_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +coal_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +loil_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +loil_cc__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.029 +coal_adv__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +geo_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +bio_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +mw_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +solar_th_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +gas_hpl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +coal_ppl_u__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +foil_ppl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +igcc__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +geo_hpl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +bio_istig__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +foil_hpl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +bio_hpl__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res1__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res1__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res1__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res1__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res2__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res2__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res2__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res2__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res3__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res3__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res3__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res3__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res4__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res4__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res4__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res4__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res5__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res5__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res5__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res5__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res6__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res6__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res6__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res6__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm1_res7__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res7__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm1_res7__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm1_res7__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res1__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res1__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res1__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res1__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res2__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res2__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res2__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res2__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res3__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res3__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res3__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res3__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res4__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res4__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res4__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res4__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res5__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res5__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res5__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res5__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res6__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res6__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res6__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res6__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 +csp_sm3_res7__ot_fresh,cooling,GJ,freshwater_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res7__cl_fresh,cooling,GJ,freshwater_supply,0.915,1.009,1.998,0.589,0.936,1.998,N,0,0.017 +csp_sm3_res7__ot_saline,cooling,GJ,saline_supply,36.803,37.854,38.906,0.2,0.305,0.431,N,0,0 +csp_sm3_res7__air,cooling,GJ,not_applicable,0,0,0,0,0,0,N,0,0.102 diff --git a/message_ix_models/data/water/set.yaml b/message_ix_models/data/water/set.yaml index edd8e36fd6..18618e35f0 100644 --- a/message_ix_models/data/water/set.yaml +++ b/message_ix_models/data/water/set.yaml @@ -6,7 +6,7 @@ # - 'add': elements to add. This is a mapping from element short names to a # longer description. -nexus: +cooling: commodity: require: - electr @@ -16,7 +16,8 @@ nexus: # Re added in the newer implementation with lesser commodities - saline_supply #- freshwater_instream - - freshwater_supply + # maybe comment, but material breaks + - freshwater_supply - desalinated_water - saline_supply_ppl - urban_collected_wst @@ -61,20 +62,12 @@ nexus: - freshwater_basin - surfacewater_basin - groundwater_basin - - salinewater_basin - desalinated_water - saline_ppl - - urban_collected_wst - - urban_uncollected_wst - - yield_freshwater_suply - - rural_collected_wst - - rural_uncollected_wst - - urban_mw - - industry_mw - - industry_uncollected_wst - - urban_disconnected - - rural_mw - - rural_disconnected + - ot_fresh + - cl_fresh + - air + - ot_saline level: @@ -82,32 +75,22 @@ nexus: - secondary remove: - - water_supply + # maybe comment, but material breaks + - water_supply - cooling - desalination_supply - water_treat add: - water_supply - - water_supply_basin - - saline_supply_basin - - water_treat - - water_avail_basin - saline_supply - - irr_cereal - - irr_sugarcrops - - irr_oilcrops + - share mode: require: - all - add: - - Mf # efficient mode - - M1 # required for bare_res test technology: remove: - - rural_treatment - - urban_treatment - extract__saline_supply - bio_hpl__ot_fresh - bio_hpl__cl_fresh @@ -214,17 +197,75 @@ nexus: - solar_th_ppl__cl_fresh - solar_th_ppl__ot_saline - solar_th_ppl__air - - csp_sm1_ppl__ot_fresh - - csp_sm1_ppl__cl_fresh - - csp_sm1_ppl__ot_saline - - csp_sm1_ppl__air - - csp_sm3_ppl__ot_fresh - - csp_sm3_ppl__cl_fresh - - csp_sm3_ppl__ot_saline - - csp_sm3_ppl__air + - csp_sm1_res__ot_fresh + - csp_sm1_res__cl_fresh + - csp_sm1_res__ot_saline + - csp_sm1_res__air + - csp_sm1_res1__ot_fresh + - csp_sm1_res1__cl_fresh + - csp_sm1_res1__ot_saline + - csp_sm1_res1__air + - csp_sm1_res2__ot_fresh + - csp_sm1_res2__cl_fresh + - csp_sm1_res2__ot_saline + - csp_sm1_res2__air + - csp_sm1_res3__ot_fresh + - csp_sm1_res3__cl_fresh + - csp_sm1_res3__ot_saline + - csp_sm1_res3__air + - csp_sm1_res4__ot_fresh + - csp_sm1_res4__cl_fresh + - csp_sm1_res4__ot_saline + - csp_sm1_res4__air + - csp_sm1_res5__ot_fresh + - csp_sm1_res5__cl_fresh + - csp_sm1_res5__ot_saline + - csp_sm1_res5__air + - csp_sm1_res6__ot_fresh + - csp_sm1_res6__cl_fresh + - csp_sm1_res6__ot_saline + - csp_sm1_res6__air + - csp_sm1_res7__ot_fresh + - csp_sm1_res7__cl_fresh + - csp_sm1_res7__ot_saline + - csp_sm1_res7__air + - csp_sm3_res__ot_fresh + - csp_sm3_res__cl_fresh + - csp_sm3_res__ot_saline + - csp_sm3_res__air + - csp_sm3_res1__ot_fresh + - csp_sm3_res1__cl_fresh + - csp_sm3_res1__ot_saline + - csp_sm3_res1__air + - csp_sm3_res2__ot_fresh + - csp_sm3_res2__cl_fresh + - csp_sm3_res2__ot_saline + - csp_sm3_res2__air + - csp_sm3_res3__ot_fresh + - csp_sm3_res3__cl_fresh + - csp_sm3_res3__ot_saline + - csp_sm3_res3__air + - csp_sm3_res4__ot_fresh + - csp_sm3_res4__cl_fresh + - csp_sm3_res4__ot_saline + - csp_sm3_res4__air + - csp_sm3_res5__ot_fresh + - csp_sm3_res5__cl_fresh + - csp_sm3_res5__ot_saline + - csp_sm3_res5__air + - csp_sm3_res6__ot_fresh + - csp_sm3_res6__cl_fresh + - csp_sm3_res6__ot_saline + - csp_sm3_res6__air + - csp_sm3_res7__ot_fresh + - csp_sm3_res7__cl_fresh + - csp_sm3_res7__ot_saline + - csp_sm3_res7__air + - extract__upstream_landuse + - extract__saline_supply - extract__freshwater_supply - extract__freshwater_instream - - extract__saline_supply + #add: # Adds all technologies from technologies.yaml file again to reconfigure @@ -234,7 +275,6 @@ nexus: - year # Addon techs include cooling technologies for now - addon: add: - bio_hpl__ot_fresh @@ -327,14 +367,70 @@ nexus: - solar_th_ppl__cl_fresh - solar_th_ppl__ot_saline - solar_th_ppl__air - - csp_sm1_ppl__ot_fresh - - csp_sm1_ppl__cl_fresh - - csp_sm1_ppl__ot_saline - - csp_sm1_ppl__air - - csp_sm3_ppl__ot_fresh - - csp_sm3_ppl__cl_fresh - - csp_sm3_ppl__ot_saline - - csp_sm3_ppl__air + - csp_sm1_res__ot_fresh + - csp_sm1_res__cl_fresh + - csp_sm1_res__ot_saline + - csp_sm1_res__air + - csp_sm1_res1__ot_fresh + - csp_sm1_res1__cl_fresh + - csp_sm1_res1__ot_saline + - csp_sm1_res1__air + - csp_sm1_res2__ot_fresh + - csp_sm1_res2__cl_fresh + - csp_sm1_res2__ot_saline + - csp_sm1_res2__air + - csp_sm1_res3__ot_fresh + - csp_sm1_res3__cl_fresh + - csp_sm1_res3__ot_saline + - csp_sm1_res3__air + - csp_sm1_res4__ot_fresh + - csp_sm1_res4__cl_fresh + - csp_sm1_res4__ot_saline + - csp_sm1_res4__air + - csp_sm1_res5__ot_fresh + - csp_sm1_res5__cl_fresh + - csp_sm1_res5__ot_saline + - csp_sm1_res5__air + - csp_sm1_res6__ot_fresh + - csp_sm1_res6__cl_fresh + - csp_sm1_res6__ot_saline + - csp_sm1_res6__air + - csp_sm1_res7__ot_fresh + - csp_sm1_res7__cl_fresh + - csp_sm1_res7__ot_saline + - csp_sm1_res7__air + - csp_sm3_res__ot_fresh + - csp_sm3_res__cl_fresh + - csp_sm3_res__ot_saline + - csp_sm3_res__air + - csp_sm3_res1__ot_fresh + - csp_sm3_res1__cl_fresh + - csp_sm3_res1__ot_saline + - csp_sm3_res1__air + - csp_sm3_res2__ot_fresh + - csp_sm3_res2__cl_fresh + - csp_sm3_res2__ot_saline + - csp_sm3_res2__air + - csp_sm3_res3__ot_fresh + - csp_sm3_res3__cl_fresh + - csp_sm3_res3__ot_saline + - csp_sm3_res3__air + - csp_sm3_res4__ot_fresh + - csp_sm3_res4__cl_fresh + - csp_sm3_res4__ot_saline + - csp_sm3_res4__air + - csp_sm3_res5__ot_fresh + - csp_sm3_res5__cl_fresh + - csp_sm3_res5__ot_saline + - csp_sm3_res5__air + - csp_sm3_res6__ot_fresh + - csp_sm3_res6__cl_fresh + - csp_sm3_res6__ot_saline + - csp_sm3_res6__air + - csp_sm3_res7__ot_fresh + - csp_sm3_res7__cl_fresh + - csp_sm3_res7__ot_saline + - csp_sm3_res7__air # cat_addon includes cooling technology addons for parent technologies type_addon: @@ -362,8 +458,23 @@ nexus: - cooling__nuc_hc - cooling__nuc_lc - cooling__solar_th_ppl - - cooling__csp_sm1_ppl - - cooling__csp_sm3_ppl + - cooling__csp_sm1_res + - cooling__csp_sm1_res1 + - cooling__csp_sm1_res2 + - cooling__csp_sm1_res3 + - cooling__csp_sm1_res4 + - cooling__csp_sm1_res5 + - cooling__csp_sm1_res6 + - cooling__csp_sm1_res7 + - cooling__csp_sm3_res + - cooling__csp_sm3_res1 + - cooling__csp_sm3_res2 + - cooling__csp_sm3_res3 + - cooling__csp_sm3_res4 + - cooling__csp_sm3_res5 + - cooling__csp_sm3_res6 + - cooling__csp_sm3_res7 + map_tec_addon: add: @@ -389,8 +500,23 @@ nexus: - [loil_ppl, cooling__loil_ppl] - [nuc_hc, cooling__nuc_hc] - [nuc_lc, cooling__nuc_lc] - - [csp_sm1_ppl, cooling__csp_sm1_ppl] - - [csp_sm3_ppl, cooling__csp_sm3_ppl] + # - [solar_th_ppl, cooling__solar_th_ppl] + - [csp_sm1_res, cooling__csp_sm1_res] + - [csp_sm1_res1, cooling__csp_sm1_res1] + - [csp_sm1_res2, cooling__csp_sm1_res2] + - [csp_sm1_res3, cooling__csp_sm1_res3] + - [csp_sm1_res4, cooling__csp_sm1_res4] + - [csp_sm1_res5, cooling__csp_sm1_res5] + - [csp_sm1_res6, cooling__csp_sm1_res6] + - [csp_sm1_res7, cooling__csp_sm1_res7] + - [csp_sm3_res, cooling__csp_sm3_res] + - [csp_sm3_res1, cooling__csp_sm3_res1] + - [csp_sm3_res2, cooling__csp_sm3_res2] + - [csp_sm3_res3, cooling__csp_sm3_res3] + - [csp_sm3_res4, cooling__csp_sm3_res4] + - [csp_sm3_res5, cooling__csp_sm3_res5] + - [csp_sm3_res6, cooling__csp_sm3_res6] + - [csp_sm3_res7, cooling__csp_sm3_res7] cat_addon: @@ -488,14 +614,146 @@ nexus: - [cooling__solar_th_ppl, solar_th_ppl__cl_fresh] - [cooling__solar_th_ppl, solar_th_ppl__ot_saline] - [cooling__solar_th_ppl, solar_th_ppl__air] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__ot_fresh] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__cl_fresh] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__ot_saline] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__air] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__ot_fresh] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__cl_fresh] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__ot_saline] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__air] + - [cooling__csp_sm1_res, csp_sm1_res__ot_fresh] + - [cooling__csp_sm1_res, csp_sm1_res__cl_fresh] + - [cooling__csp_sm1_res, csp_sm1_res__ot_saline] + - [cooling__csp_sm1_res, csp_sm1_res__air] + - [cooling__csp_sm1_res1, csp_sm1_res1__ot_fresh] + - [cooling__csp_sm1_res1, csp_sm1_res1__cl_fresh] + - [cooling__csp_sm1_res1, csp_sm1_res1__ot_saline] + - [cooling__csp_sm1_res1, csp_sm1_res1__air] + - [cooling__csp_sm1_res2, csp_sm1_res2__ot_fresh] + - [cooling__csp_sm1_res2, csp_sm1_res2__cl_fresh] + - [cooling__csp_sm1_res2, csp_sm1_res2__ot_saline] + - [cooling__csp_sm1_res2, csp_sm1_res2__air] + - [cooling__csp_sm1_res3, csp_sm1_res3__ot_fresh] + - [cooling__csp_sm1_res3, csp_sm1_res3__cl_fresh] + - [cooling__csp_sm1_res3, csp_sm1_res3__ot_saline] + - [cooling__csp_sm1_res3, csp_sm1_res3__air] + - [cooling__csp_sm1_res4, csp_sm1_res4__ot_fresh] + - [cooling__csp_sm1_res4, csp_sm1_res4__cl_fresh] + - [cooling__csp_sm1_res4, csp_sm1_res4__ot_saline] + - [cooling__csp_sm1_res4, csp_sm1_res4__air] + - [cooling__csp_sm1_res5, csp_sm1_res5__ot_fresh] + - [cooling__csp_sm1_res5, csp_sm1_res5__cl_fresh] + - [cooling__csp_sm1_res5, csp_sm1_res5__ot_saline] + - [cooling__csp_sm1_res5, csp_sm1_res5__air] + - [cooling__csp_sm1_res6, csp_sm1_res6__ot_fresh] + - [cooling__csp_sm1_res6, csp_sm1_res6__cl_fresh] + - [cooling__csp_sm1_res6, csp_sm1_res6__ot_saline] + - [cooling__csp_sm1_res6, csp_sm1_res6__air] + - [cooling__csp_sm1_res7, csp_sm1_res7__ot_fresh] + - [cooling__csp_sm1_res7, csp_sm1_res7__cl_fresh] + - [cooling__csp_sm1_res7, csp_sm1_res7__ot_saline] + - [cooling__csp_sm1_res7, csp_sm1_res7__air] + - [cooling__csp_sm3_res, csp_sm3_res__ot_fresh] + - [cooling__csp_sm3_res, csp_sm3_res__cl_fresh] + - [cooling__csp_sm3_res, csp_sm3_res__ot_saline] + - [cooling__csp_sm3_res, csp_sm3_res__air] + - [cooling__csp_sm3_res1, csp_sm3_res1__ot_fresh] + - [cooling__csp_sm3_res1, csp_sm3_res1__cl_fresh] + - [cooling__csp_sm3_res1, csp_sm3_res1__ot_saline] + - [cooling__csp_sm3_res1, csp_sm3_res1__air] + - [cooling__csp_sm3_res2, csp_sm3_res2__ot_fresh] + - [cooling__csp_sm3_res2, csp_sm3_res2__cl_fresh] + - [cooling__csp_sm3_res2, csp_sm3_res2__ot_saline] + - [cooling__csp_sm3_res2, csp_sm3_res2__air] + - [cooling__csp_sm3_res3, csp_sm3_res3__ot_fresh] + - [cooling__csp_sm3_res3, csp_sm3_res3__cl_fresh] + - [cooling__csp_sm3_res3, csp_sm3_res3__ot_saline] + - [cooling__csp_sm3_res3, csp_sm3_res3__air] + - [cooling__csp_sm3_res4, csp_sm3_res4__ot_fresh] + - [cooling__csp_sm3_res4, csp_sm3_res4__cl_fresh] + - [cooling__csp_sm3_res4, csp_sm3_res4__ot_saline] + - [cooling__csp_sm3_res4, csp_sm3_res4__air] + - [cooling__csp_sm3_res5, csp_sm3_res5__ot_fresh] + - [cooling__csp_sm3_res5, csp_sm3_res5__cl_fresh] + - [cooling__csp_sm3_res5, csp_sm3_res5__ot_saline] + - [cooling__csp_sm3_res5, csp_sm3_res5__air] + - [cooling__csp_sm3_res6, csp_sm3_res6__ot_fresh] + - [cooling__csp_sm3_res6, csp_sm3_res6__cl_fresh] + - [cooling__csp_sm3_res6, csp_sm3_res6__ot_saline] + - [cooling__csp_sm3_res6, csp_sm3_res6__air] + - [cooling__csp_sm3_res7, csp_sm3_res7__ot_fresh] + - [cooling__csp_sm3_res7, csp_sm3_res7__cl_fresh] + - [cooling__csp_sm3_res7, csp_sm3_res7__ot_saline] + - [cooling__csp_sm3_res7, csp_sm3_res7__air] + + + shares: + add: + - share_cooling_ot_fresh + - share_cooling_cl_fresh + - share_cooling_ot_saline + - share_cooling_air + + type_tec: + add: + - share_cooling_ot_fresh_tot + - share_cooling_ot_fresh_share + - share_cooling_cl_fresh_tot + - share_cooling_cl_fresh_share + - share_cooling_ot_saline_tot + - share_cooling_ot_saline_share + - share_cooling_air_tot + - share_cooling_air_share + + unit: + add: + - km3/GWa + - km3 + - km3/year + + emission: + add: + - fresh_return + + type_emission: + add: + - water_consumption + + cat_emission: + add: + - [water_consumption, fresh_return] + +nexus: + commodity: + add: + - salinewater_basin + - urban_collected_wst + - urban_uncollected_wst + - yield_freshwater_suply + - rural_collected_wst + - rural_uncollected_wst + - urban_mw + - industry_mw + - industry_uncollected_wst + - urban_disconnected + - rural_mw + - rural_disconnected + + + level: + add: + - water_supply_basin + - saline_supply_basin + - water_treat + - water_avail_basin + - irr_cereal + - irr_sugarcrops + - irr_oilcrops + + mode: + add: + - Mf # efficient mode + - M1 # required for bare_res test + + technology: + remove: + - rural_treatment + - urban_treatment + #add: + # Adds all technologies from technologies.yaml file again to reconfigure type_tec: add: @@ -545,6 +803,7 @@ nexus: - [desalination, membrane] - [desalination, distillation] + balance_equality: add: - [freshwater, water_supply] @@ -572,513 +831,7 @@ nexus: - share_low_lim_GWat - share_wat_recycle - # relation: - # add: - # - gw_share - unit: add: - - km3/GWa - - km3 - - km3/year - USD/km3 - emission: - add: - - fresh_return - - type_emission: - add: - - water_consumption - - cat_emission: - add: - - [water_consumption, fresh_return] - -cooling: - commodity: - require: - - electr - - remove: - # removing all technologies which are related to water in the previous model - # Re added in the newer implementation with lesser commodities - - saline_supply - #- freshwater_instream - - freshwater_supply - - desalinated_water - - saline_supply_ppl - - urban_collected_wst - - urban_uncollected_wst - - yield_freshwater_suply - - rural_collected_wst - - rual_uncollected_wst - - urban_mw - - urban_dis - - rural_mw - - rural_dis - - cooling__bio_hpl - - cooling__bio_ppl - - cooling__bio_istig - - cooling__bio_ppl - - cooling__coal_adv - - cooling__coal_adv_ccs - - cooling__coal_ppl - - cooling__coal_ppl_u - - cooling__foil_hpl - - cooling__foil_ppl - - cooling__gas_cc - - cooling__gas_cc_ccs - - cooling__gas_hpl - - cooling__gas_ppl - - cooling__geo_hpl - - cooling__geo_ppl - - cooling__igcc - - cooling__igcc_ccs - - cooling__loil_cc - - cooling__loil_ppl - - cooling__nuc_hc - - cooling__solar_th_ppl - - cooling__csp_sm1_ppl - - cooling__csp_sm3_ppl - - add: - - electr - - salinewater - - freshwater_instream - - freshwater - - freshwater_basin - - surfacewater_basin - - groundwater_basin - - desalinated_water - - saline_ppl - - - level: - require: - - secondary - - remove: - - water_supply - - cooling - - desalination_supply - - water_treat - add: - - water_supply - - saline_supply - - mode: - require: - - all - - technology: - remove: - - extract__saline_supply - - bio_hpl__ot_fresh - - bio_hpl__cl_fresh - - bio_hpl__cl_fresh - - bio_hpl__ot_saline - - bio_hpl__air - - bio_istig__ot_fresh - - bio_istig__cl_fresh - - bio_istig__cl_fresh - - bio_istig__ot_saline - - bio_istig__air - - bio_istig_ccs__ot_fresh - - bio_istig_ccs__cl_fresh - - bio_istig_ccs__cl_fresh - - bio_istig_ccs__ot_saline - - bio_istig_ccs__air - - bio_ppl__ot_fresh - - bio_ppl__cl_fresh - - bio_ppl__cl_fresh - - bio_ppl__ot_saline - - bio_ppl__air - - coal_adv__ot_fresh - - coal_adv__cl_fresh - - coal_adv__cl_fresh - - coal_adv__ot_saline - - coal_adv__air - - coal_adv_ccs__ot_fresh - - coal_adv_ccs__cl_fresh - - coal_adv_ccs__cl_fresh - - coal_adv_ccs__ot_saline - - coal_ppl__ot_fresh - - coal_ppl__cl_fresh - - coal_ppl__cl_fresh - - coal_ppl__ot_saline - - coal_ppl__air - - coal_ppl_u__ot_fresh - - coal_ppl_u__cl_fresh - - coal_ppl_u__cl_fresh - - coal_ppl_u__ot_saline - - coal_ppl_u__air - - foil_hpl__ot_fresh - - foil_hpl__cl_fresh - - foil_hpl__cl_fresh - - foil_hpl__ot_saline - - foil_hpl__air - - foil_ppl__ot_fresh - - foil_ppl__cl_fresh - - foil_ppl__cl_fresh - - foil_ppl__ot_saline - - foil_ppl__air - - gas_cc__ot_fresh - - gas_cc__cl_fresh - - gas_cc__cl_fresh - - gas_cc__ot_saline - - gas_cc__air - - gas_cc_ccs__ot_fresh - - gas_cc_ccs__cl_fresh - - gas_cc_ccs__cl_fresh - - gas_cc_ccs__ot_saline - - gas_hpl__ot_fresh - - gas_hpl__cl_fresh - - gas_hpl__cl_fresh - - gas_hpl__ot_saline - - gas_hpl__air - - gas_ppl__ot_fresh - - gas_ppl__cl_fresh - - gas_ppl__cl_fresh - - gas_ppl__ot_saline - - gas_ppl__air - - geo_hpl__ot_fresh - - geo_hpl__cl_fresh - - geo_hpl__cl_fresh - - geo_hpl__ot_saline - - geo_hpl__air - - geo_ppl__ot_fresh - - geo_ppl__cl_fresh - - geo_ppl__cl_fresh - - geo_ppl__ot_saline - - geo_ppl__air - - igcc__ot_fresh - - igcc__cl_fresh - - igcc__cl_fresh - - igcc__ot_saline - - igcc__air - - igcc_ccs__ot_fresh - - igcc_ccs__cl_fresh - - igcc_ccs__cl_fresh - - igcc_ccs__ot_saline - - loil_cc__ot_fresh - - loil_cc__cl_fresh - - loil_cc__cl_fresh - - loil_cc__ot_saline - - loil_cc__air - - loil_ppl__ot_fresh - - loil_ppl__cl_fresh - - loil_ppl__cl_fresh - - loil_ppl__ot_saline - - loil_ppl__air - - nuc_hc__ot_fresh - - nuc_hc__cl_fresh - - nuc_hc__cl_fresh - - nuc_hc__ot_saline - - solar_th_ppl__ot_fresh - - solar_th_ppl__cl_fresh - - solar_th_ppl__ot_saline - - solar_th_ppl__air - - csp_sm1_ppl__ot_fresh - - csp_sm1_ppl__cl_fresh - - csp_sm1_ppl__ot_saline - - csp_sm1_ppl__air - - csp_sm3_ppl__ot_fresh - - csp_sm3_ppl__cl_fresh - - csp_sm3_ppl__ot_saline - - csp_sm3_ppl__air - - extract__upstream_landuse - - extract__saline_supply - - extract__freshwater_supply - - extract__freshwater_instream - - #add: - # Adds all technologies from technologies.yaml file again to reconfigure - - time: - # NB cannot handle models with sub-annual time resolution - require: - - year - - # Addon techs include cooling technologies for now - addon: - add: - - bio_hpl__ot_fresh - - bio_hpl__cl_fresh - - bio_hpl__ot_saline - - bio_hpl__air - - bio_istig__ot_fresh - - bio_istig__cl_fresh - - bio_istig__ot_saline - - bio_istig__air - - bio_istig_ccs__ot_fresh - - bio_istig_ccs__cl_fresh - - bio_istig_ccs__ot_saline - - bio_istig_ccs__air - - bio_ppl__ot_fresh - - bio_ppl__cl_fresh - - bio_ppl__ot_saline - - bio_ppl__air - - coal_adv__ot_fresh - - coal_adv__cl_fresh - - coal_adv__ot_saline - - coal_adv__air - - coal_adv_ccs__ot_fresh - - coal_adv_ccs__cl_fresh - - coal_adv_ccs__ot_saline - - coal_adv_ccs__air - - coal_ppl__ot_fresh - - coal_ppl__cl_fresh - - coal_ppl__ot_saline - - coal_ppl__air - - coal_ppl_u__ot_fresh - - coal_ppl_u__cl_fresh - - coal_ppl_u__ot_saline - - coal_ppl_u__air - - foil_ppl__ot_fresh - - foil_ppl__cl_fresh - - foil_ppl__ot_saline - - foil_ppl__air - - foil_hpl__ot_fresh - - foil_hpl__cl_fresh - - foil_hpl__ot_saline - - foil_hpl__air - - gas_cc__ot_fresh - - gas_cc__cl_fresh - - gas_cc__ot_saline - - gas_cc__air - - gas_cc_ccs__ot_fresh - - gas_cc_ccs__cl_fresh - - gas_cc_ccs__ot_saline - - gas_cc_ccs__air - - gas_hpl__ot_fresh - - gas_hpl__cl_fresh - - gas_hpl__ot_saline - - gas_hpl__air - - gas_ppl__ot_fresh - - gas_ppl__cl_fresh - - gas_ppl__ot_saline - - gas_ppl__air - - geo_hpl__ot_fresh - - geo_hpl__cl_fresh - - geo_hpl__cl_fresh - - geo_hpl__ot_saline - - geo_hpl__air - - geo_ppl__ot_fresh - - geo_ppl__cl_fresh - - geo_ppl__cl_fresh - - geo_ppl__ot_saline - - geo_ppl__air - - igcc__ot_fresh - - igcc__cl_fresh - - igcc__ot_saline - - igcc__air - - igcc_ccs__ot_fresh - - igcc_ccs__cl_fresh - - igcc_ccs__ot_saline - - igcc_ccs__air - - loil_cc__ot_fresh - - loil_cc__cl_fresh - - loil_cc__ot_saline - - loil_cc__air - - loil_ppl__ot_fresh - - loil_ppl__cl_fresh - - loil_ppl__ot_saline - - loil_ppl__air - - nuc_hc__ot_fresh - - nuc_hc__cl_fresh - - nuc_hc__ot_saline - - nuc_hc__air - - solar_th_ppl__ot_fresh - - solar_th_ppl__cl_fresh - - solar_th_ppl__ot_saline - - solar_th_ppl__air - - csp_sm1_ppl__ot_fresh - - csp_sm1_ppl__cl_fresh - - csp_sm1_ppl__ot_saline - - csp_sm1_ppl__air - - csp_sm3_ppl__ot_fresh - - csp_sm3_ppl__cl_fresh - - csp_sm3_ppl__ot_saline - - csp_sm3_ppl__air - - # cat_addon includes cooling technology addons for parent technologies - type_addon: - add: - - cooling__bio_hpl - - cooling__bio_istig - - cooling__bio_istig_ccs - - cooling__bio_ppl - - cooling__coal_adv - - cooling__coal_adv_ccs - - cooling__coal_ppl - - cooling__coal_ppl_u - - cooling__foil_hpl - - cooling__foil_ppl - - cooling__gas_cc - - cooling__gas_cc_ccs - - cooling__gas_hpl - - cooling__gas_ppl - - cooling__geo_hpl - - cooling__geo_ppl - - cooling__igcc - - cooling__igcc_ccs - - cooling__loil_cc - - cooling__loil_ppl - - cooling__nuc_hc - - cooling__nuc_lc - - cooling__solar_th_ppl - - cooling__csp_sm1_ppl - - cooling__csp_sm3_ppl - - map_tec_addon: - add: - - [bio_hpl,cooling__bio_hpl] - - [bio_istig, cooling__bio_istig] - - [bio_istig_ccs, cooling__bio_istig_ccs] - - [bio_ppl,cooling__bio_ppl] - - [coal_adv, cooling__coal_adv] - - [coal_adv_ccs, cooling__coal_adv_ccs] - - [coal_ppl, cooling__coal_ppl] - - [coal_ppl_u, cooling__coal_ppl_u] - - [foil_hpl, cooling__foil_hpl] - - [foil_ppl, cooling__foil_ppl] - - [gas_cc, cooling__gas_cc] - - [gas_cc_ccs, cooling__gas_cc_ccs] - - [gas_hpl, cooling__gas_hpl] - - [gas_ppl, cooling__gas_ppl] - - [geo_hpl, cooling__geo_hpl] - - [geo_ppl, cooling__geo_ppl] - - [igcc, cooling__igcc] - - [igcc_ccs, cooling__igcc_ccs] - - [loil_cc, cooling__loil_cc] - - [loil_ppl, cooling__loil_ppl] - - [nuc_hc, cooling__nuc_hc] - - [nuc_lc, cooling__nuc_lc] - # - [solar_th_ppl, cooling__solar_th_ppl] - - [csp_sm1_ppl, cooling__csp_sm1_ppl] - - [csp_sm3_ppl, cooling__csp_sm3_ppl] - - - cat_addon: - # #TODO check whether these needs to be added ? - add: - - [cooling__bio_hpl, bio_hpl__ot_fresh] - - [cooling__bio_hpl, bio_hpl__cl_fresh] - - [cooling__bio_hpl, bio_hpl__ot_saline] - - [cooling__bio_hpl, bio_hpl__air] - - [cooling__bio_istig, bio_istig__ot_fresh] - - [cooling__bio_istig, bio_istig__cl_fresh] - - [cooling__bio_istig, bio_istig__ot_saline] - - [cooling__bio_istig, bio_istig__air] - - [cooling__bio_istig_ccs, bio_istig_ccs__ot_fresh] - - [cooling__bio_istig_ccs, bio_istig_ccs__cl_fresh] - - [cooling__bio_istig_ccs, bio_istig_ccs__ot_saline] - - [cooling__bio_istig_ccs, bio_istig_ccs__air] - - [cooling__coal_adv, coal_adv__ot_fresh] - - [cooling__coal_adv, coal_adv__cl_fresh] - - [cooling__coal_adv, coal_adv__ot_saline] - - [cooling__coal_adv, coal_adv__air] - - [cooling__coal_adv_ccs, coal_adv_ccs__ot_fresh] - - [cooling__coal_adv_ccs, coal_adv_ccs__cl_fresh] - - [cooling__coal_adv_ccs, coal_adv_ccs__ot_saline] - - [cooling__coal_adv_ccs, coal_adv_ccs__air] - - [cooling__bio_ppl, bio_ppl__ot_fresh] - - [cooling__bio_ppl, bio_ppl__cl_fresh] - - [cooling__bio_ppl, bio_ppl__ot_saline] - - [cooling__bio_ppl, bio_ppl__air] - - [cooling__coal_ppl, coal_ppl__ot_fresh] - - [cooling__coal_ppl, coal_ppl__cl_fresh] - - [cooling__coal_ppl, coal_ppl__ot_saline] - - [cooling__coal_ppl, coal_ppl__air] - - [cooling__coal_ppl_u, coal_ppl_u__ot_fresh] - - [cooling__coal_ppl_u, coal_ppl_u__cl_fresh] - - [cooling__coal_ppl_u, coal_ppl_u__ot_saline] - - [cooling__coal_ppl_u, coal_ppl_u__air] - - [cooling__foil_hpl, foil_hpl__ot_fresh] - - [cooling__foil_hpl, foil_hpl__cl_fresh] - - [cooling__foil_hpl, foil_hpl__ot_saline] - - [cooling__foil_hpl, foil_hpl__air] - - [cooling__foil_ppl, foil_ppl__ot_fresh] - - [cooling__foil_ppl, foil_ppl__cl_fresh] - - [cooling__foil_ppl, foil_ppl__ot_saline] - - [cooling__foil_ppl, foil_ppl__air] - - [cooling__gas_cc, gas_cc__ot_fresh] - - [cooling__gas_cc, gas_cc__cl_fresh] - - [cooling__gas_cc, gas_cc__ot_saline] - - [cooling__gas_cc, gas_cc__air] - - [cooling__gas_cc_ccs, gas_cc_ccs__ot_fresh] - - [cooling__gas_cc_ccs, gas_cc_ccs__cl_fresh] - - [cooling__gas_cc_ccs, gas_cc_ccs__ot_saline] - - [cooling__gas_cc_ccs, gas_cc_ccs__air] - - [cooling__gas_hpl, gas_hpl__ot_fresh] - - [cooling__gas_hpl, gas_hpl__cl_fresh] - - [cooling__gas_hpl, gas_hpl__ot_saline] - - [cooling__gas_hpl, gas_hpl__air] - - [cooling__gas_ppl, gas_ppl__ot_fresh] - - [cooling__gas_ppl, gas_ppl__cl_fresh] - - [cooling__gas_ppl, gas_ppl__ot_saline] - - [cooling__gas_ppl, gas_ppl__air] - - [cooling__geo_hpl, gas_hpl__ot_fresh] - - [cooling__geo_hpl, gas_hpl__cl_fresh] - - [cooling__geo_hpl, gas_hpl__ot_saline] - - [cooling__geo_hpl, gas_hpl__air] - - [cooling__geo_ppl, geo_ppl__ot_fresh] - - [cooling__geo_ppl, geo_ppl__cl_fresh] - - [cooling__geo_ppl, geo_ppl__ot_saline] - - [cooling__geo_ppl, geo_ppl__air] - - [cooling__igcc, igcc__ot_fresh] - - [cooling__igcc, igcc__cl_fresh] - - [cooling__igcc, igcc__ot_saline] - - [cooling__igcc, igcc__air] - - [cooling__igcc_ccs, igcc_ccs__ot_fresh] - - [cooling__igcc_ccs, igcc_ccs__cl_fresh] - - [cooling__igcc_ccs, igcc_ccs__ot_saline] - - [cooling__igcc_ccs, igcc_ccs__air] - - [cooling__loil_cc, loil_cc__ot_fresh] - - [cooling__loil_cc, loil_cc__cl_fresh] - - [cooling__loil_cc, loil_cc__ot_saline] - - [cooling__loil_cc, loil_cc__air] - - [cooling__loil_ppl, loil_ppl__ot_fresh] - - [cooling__loil_ppl, loil_ppl__cl_fresh] - - [cooling__loil_ppl, loil_ppl__ot_saline] - - [cooling__loil_ppl, loil_ppl__air] - - [cooling__nuc_hc, nuc_hc__ot_fresh] - - [cooling__nuc_hc, nuc_hc__cl_fresh] - - [cooling__nuc_hc, nuc_hc__ot_saline] - - [cooling__nuc_hc, nuc_hc__air] - - [cooling__nuc_lc, nuc_lc__ot_fresh] - - [cooling__nuc_lc, nuc_lc__cl_fresh] - - [cooling__nuc_lc, nuc_lc__ot_saline] - - [cooling__nuc_lc, nuc_lc__air] - - [cooling__solar_th_ppl, solar_th_ppl__ot_fresh] - - [cooling__solar_th_ppl, solar_th_ppl__cl_fresh] - - [cooling__solar_th_ppl, solar_th_ppl__ot_saline] - - [cooling__solar_th_ppl, solar_th_ppl__air] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__ot_fresh] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__cl_fresh] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__ot_saline] - - [cooling__csp_sm1_ppl, csp_sm1_ppl__air] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__ot_fresh] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__cl_fresh] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__ot_saline] - - [cooling__csp_sm3_ppl, csp_sm3_ppl__air] - - - unit: - add: - - km3/GWa - - km3 - - km3/year - - emission: - add: - - fresh_return - - type_emission: - add: - - water_consumption - - cat_emission: - add: - - [water_consumption, fresh_return] diff --git a/message_ix_models/data/water/ssp.yaml b/message_ix_models/data/water/ssp.yaml new file mode 100644 index 0000000000..bc844dfa3c --- /dev/null +++ b/message_ix_models/data/water/ssp.yaml @@ -0,0 +1,61 @@ +macro-regions: + globalNorth: + - WEU + - EEU + - FSU + - NAM + - PAO + globalSouth: + - LAM + - SAS + - AFR + - CPA + - CHN + - RCPA + - MEA + - PAS +scenarios: + SSP1: + cooling_tech: + globalNorth: + # constraints for the globalNorth + share_commodity_up: + share_cooling_ot_fresh: 0.001 + globalSouth: + # constraints for the globalSouth + share_commodity_up: + share_cooling_ot_fresh: 0.1 + SSP2: + cooling_tech: + globalNorth: + share_commodity_up: &share_ssp2_common + share_cooling_ot_fresh: 0.3 + share_cooling_air: 0.5 + globalSouth: + share_commodity_up: *share_ssp2_common + SSP3: + cooling_tech: + globalNorth: + share_commodity_up: &share_ssp3_common + share_cooling_ot_fresh: 0.001 + share_cooling_air: 0.3 + globalSouth: + share_commodity_up: *share_ssp3_common + SSP4: + cooling_tech: + globalNorth: + share_commodity_up: + share_cooling_ot_fresh: 0.001 + share_cooling_air: 0.3 + globalSouth: + share_commodity_up: + share_cooling_ot_fresh: 0.3 + share_cooling_air: 0.3 +# SSP5, no constraints on cooling technologies + LED: + cooling_tech: + globalNorth: + share_commodity_up: &share_LED_common + share_cooling_air: 0.1 + globalSouth: + share_commodity_up: *share_LED_common \ No newline at end of file diff --git a/message_ix_models/data/water/technology.yaml b/message_ix_models/data/water/technology.yaml index 6b153f9090..1dafe05e4e 100644 --- a/message_ix_models/data/water/technology.yaml +++ b/message_ix_models/data/water/technology.yaml @@ -1,5 +1,6 @@ # Water technologies -nexus: +cooling: + # Water technologies extract_surfacewater: description: >- Freshwater extraction technology @@ -8,22 +9,13 @@ nexus: extract_salinewater: description: >- Sea water extraction used for cooling technologies requiring seawater - input: {commodity: saline_supply} + input: {commodity: saline_supply_ppl} extract_groundwater: description: >- Groundwater extraction technology input: {commodity: freshwater_supply} - extract_gw_fossil: - description: >- - Groundwater extraction from fossil reservoirs (unlimited used as slack) - - extract_salinewater_basin: - description: >- - Sea water extraction used for desalination and providing freshwater - input: {commodity: saline_supply_basin} - bio_hpl__ot_fresh: description: >- Biomass heating power plant cooling by once through cooling technology @@ -50,8 +42,8 @@ nexus: bio_istig__ot_fresh: description: >- - # TODO fill in description of bio_istig cooling by once through cooling - # technology using freshwater + # TODO fill in description of bio_istig cooling by once through cooling + # technology using freshwater input: {commodity: freshwater_supply} bio_istig__cl_fresh: @@ -576,54 +568,403 @@ nexus: technology using parasitic electricity input: {commodity: electr} - csp_sm1_ppl__ot_fresh: + # CSP_SM1 with RES to RES7 + csp_sm1_res__ot_fresh: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. input: {commodity: freshwater_supply} - csp_sm1_ppl__cl_fresh: + csp_sm1_res__cl_fresh: description: >- - Solar thermal power plant with storage cooling by closed loop cooling - technology using freshwater supply & parasitic electricity - input: {commodity: freshwater_supply,electr} + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} - csp_sm1_ppl__ot_saline: + csp_sm1_res__ot_saline: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. input: {commodity: saline_supply_ppl} - csp_sm1_ppl__air: + csp_sm1_res__air: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using parasitic electricity + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. input: {commodity: electr} - csp_sm3_ppl__ot_fresh: + csp_sm1_res1__ot_fresh: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. input: {commodity: freshwater_supply} - csp_sm3_ppl__cl_fresh: + csp_sm1_res1__cl_fresh: description: >- - Solar thermal power plant with storage cooling by closed loop cooling - technology using freshwater supply & parasitic electricity - input: {commodity: freshwater_supply,electr} + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} - csp_sm3_ppl__ot_saline: + csp_sm1_res1__ot_saline: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. input: {commodity: saline_supply_ppl} - csp_sm3_ppl__air: + csp_sm1_res1__air: description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using parasitic electricity + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res2__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res2__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res2__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res2__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res3__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res3__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res3__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res3__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res4__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res4__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res4__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res4__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res5__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res5__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res5__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res5__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res6__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res6__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res6__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res6__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm1_res7__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm1_res7__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm1_res7__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm1_res7__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + +# Repeat similar structure for res4 through res7 for csp_sm1. + + csp_sm3_res__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res1__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res1__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res1__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res1__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res2__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res2__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res2__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res2__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res3__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res3__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res3__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res3__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res4__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res4__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res4__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res4__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res5__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res5__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res5__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res5__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res6__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res6__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res6__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res6__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. + input: {commodity: electr} + + csp_sm3_res7__ot_fresh: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using freshwater supply. + input: {commodity: freshwater_supply} + + csp_sm3_res7__cl_fresh: + description: >- + Solar thermal power plant with storage cooling by closed-loop cooling + technology using freshwater supply & parasitic electricity. + input: {commodity: freshwater_supply, electr} + + csp_sm3_res7__ot_saline: + description: >- + Solar thermal power plant with storage cooling by once-through cooling + technology using saline water supply. + input: {commodity: saline_supply_ppl} + + csp_sm3_res7__air: + description: >- + Solar thermal power plant with storage cooling by air cooling + technology using parasitic electricity. input: {commodity: electr} +nexus: + extract_gw_fossil: + description: >- + Groundwater extraction from fossil reservoirs (unlimited used as slack) + + extract_salinewater_basin: + description: >- + Sea water extraction used for desalination and providing freshwater + input: {commodity: saline_supply_basin} + urban_t_d: description: >- Urban water transmission & distribution @@ -802,623 +1143,5 @@ nexus: description: >- remaining salinewater left after consumption - -cooling: - # Water technologies - extract_surfacewater: - description: >- - Freshwater extraction technology - input: {commodity: freshwater_supply} - - extract_salinewater: - description: >- - Sea water extraction used for cooling technologies requiring seawater - input: {commodity: saline_supply_ppl} - - extract_groundwater: - description: >- - Groundwater extraction technology - input: {commodity: freshwater_supply} - - bio_hpl__ot_fresh: - description: >- - Biomass heating power plant cooling by once through cooling technology - using freshwater - input: {commodity: freshwater_supply} - - bio_hpl__cl_fresh: - description: >- - Biomass heating power plant cooling by closed loop cooling technology - using freshwater & freshwater supply - input: {commodity: freshwater_supply, electr} - - bio_hpl__ot_saline: - description: >- - Biomass heating power plant cooling by once through cooling technology - using saline - input: {commodity: saline_supply_ppl} - - bio_hpl__air: - description: >- - Biomass heating power plant cooling by air cooled technology - using freshwater supply - input: {commodity: electr} - - bio_istig__ot_fresh: - description: >- - # TODO fill in description of bio_istig cooling by once through cooling - # technology using freshwater - input: {commodity: freshwater_supply} - - bio_istig__cl_fresh: - description: >- - # TODO fill in description of bio_istig cooling by closed loop cooling - # technology using freshwater - input: {commodity: freshwater_supply,electr} - - bio_istig__ot_saline: - description: >- - # TODO fill in description of bio_istig through once through cooling - # technology using saline water - input: {commodity: saline_supply_ppl} - - bio_istig__air: - description: >- - # TODO fill in description of bio_istig through air cooled - # technology using freshwater supply - input: {commodity: electr} - - - bio_istig_ccs__ot_fresh: - description: >- - # TODO fill in description of bio_istig cooling by once through cooling - # technology using freshwater - input: {commodity: freshwater_supply} - - bio_istig_ccs__cl_fresh: - description: >- - # TODO fill in description of bio_istig cooling by closed loop cooling - # technology using freshwater - input: {commodity: freshwater_supply,electr} - - bio_istig_ccs__ot_saline: - description: >- - # TODO fill in description of bio_istig through once through cooling - # technology using saline water - input: {commodity: saline_supply_ppl} - - bio_istig_ccs__air: - description: >- - # TODO fill in description of bio_istig through air cooled - # technology using freshwater supply - input: {commodity: electr} - - bio_ppl__ot_fresh: - description: >- - Bio power plant cooling by once through cooling technology using freshwater - input: {commodity: freshwater_supply} - - bio_ppl__cl_fresh: - description: >- - Bio power plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply, electr} - - bio_ppl__ot_saline: - description: >- - Bio power plant cooling by once through cooling technology - using saline water - input: {commodity: saline_supply_ppl} - - bio_ppl__air: - description: >- - Biopower plant cooling by air cooled technology - using freshwater supply - input: {commodity: electr} - - coal_adv__ot_fresh: - description: >- - Advanced coal power plant cooling by once through cooling technology using - freshwater - input: {commodity: freshwater_supply} - - coal_adv__cl_fresh: - description: >- - Advanced coal power plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - coal_adv__ot_saline: - description: >- - Advanced coal power plant cooling by once through cooling technology using - saline water - input: {commodity: saline_supply_ppl} - - coal_adv__air: - description: >- - Advanced coal power plant cooling by air cooled cooling technology using - freshwater supply - input: {commodity: electr} - - coal_adv_ccs__ot_fresh: - description: >- - Advanced coal power plant with carbon capture and storage cooling by once - through cooling technology using freshwater - input: {commodity: freshwater_supply} - - coal_adv_ccs__cl_fresh: - description: >- - Advanced coal power plant with carbon capture and storage by closed loop - cooling technology using freshwater - input: {commodity: freshwater_supply, electr} - - coal_adv_ccs__ot_saline: - description: >- - Advanced coal power plant with carbon capture and storage by once through - cooling technology using freshwater - input: {commodity: saline_supply_ppl} - - coal_adv_ccs__air: - description: >- - Advanced coal power plant with carbon capture and storage by air cooled - cooling technology using freshwater supply - input: {commodity: electr} - - coal_ppl__ot_fresh: - description: >- - Coal power plant cooling by once through cooling technology using freshwater - input: {commodity: freshwater_supply} - - coal_ppl__cl_fresh: - description: >- - Coal power plant cooling by closed loop cooling technology using freshwater - & freshwater supply - input: {commodity: freshwater_supply,electr} - - coal_ppl__ot_saline: - description: >- - Coal power plant cooling by once through cooling technology using freshwater - input: {commodity: saline_supply_ppl} - - coal_ppl__air: - description: >- - Coal power plant cooling by air cooled cooling technology using parasitic - electricity - input: {commodity: electr} - - coal_ppl_u__ot_fresh: - description: >- - Coal power plant without abatement measures cooling by once through - cooling technology using freshwater - input: {commodity: freshwater_supply} - - coal_ppl_u__cl_fresh: - description: >- - Coal power plant without abatement measures cooling by closed loop - cooling technology using freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - coal_ppl_u__ot_saline: - description: >- - Coal power plant without abatement measures cooling by once through - cooling technology using saline water - input: {commodity: saline_supply_ppl} - - coal_ppl_u__air: - description: >- - Coal power plant without abatement measures cooling by air cooled - cooling technology using freshwater supply - input: {commodity: electr} - - foil_ppl__ot_fresh: - description: >- - New standard oil power plant (Rankine cycle), cooling by once through - cooling technology using freshwater - using freshwater - input: {commodity: freshwater_supply} - - foil_ppl__cl_fresh: - description: >- - New standard oil power plant (Rankine cycle),cooling by closed loop - cooling technology using freshwater & freshwater supply - input: {commodity: freshwater_supply, electr} - - foil_ppl__ot_saline: - description: >- - New standard oil power plant (Rankine cycle),cooling by once through - cooling technology using saline water - input: {commodity: saline_supply_ppl} - - foil_ppl__air: - description: >- - New standard oil power plant (Rankine cycle),cooling by air cooled - cooling technology using parasitic electricity - input: {commodity: electr} - - foil_hpl__ot_fresh: - description: >- - Fuel oil heating plant cooling by once through cooling technology using - freshwater - input: {commodity: freshwater_supply} - - foil_hpl__cl_fresh: - description: >- - Fuel oil heating plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - foil_hpl__ot_saline: - description: >- - Fuel oil heating plant cooling by once through cooling technology using - saline water - input: {commodity: saline_supply_ppl} - - foil_hpl__air: - description: >- - Fuel oil heating plant cooling by cooling by air cooled cooling technology - using parasitic electricity - input: {commodity: electr} - - gas_cc__ot_fresh: - description: >- - Gas combined cycle power plant cooling by once through cooling technology - using freshwater - input: {commodity: freshwater_supply} - - gas_cc__cl_fresh: - description: >- - Gas combined cycle power plant cooling by closed loop cooling technology - using freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - gas_cc__ot_saline: - description: >- - Gas combined cycle power plant cooling by once through cooling technology - using saline water - input: {commodity: saline_supply_ppl} - - gas_cc__air: - description: >- - Gas combined cycle power plant cooling by air cooled cooling technology - using parasitic electricity - input: {commodity: electr} - - gas_cc_ccs__ot_fresh: - description: >- - Gas combined cycle power-plant with carbon capture and storage cooling by - once through cooling technology using freshwater - input: {commodity: freshwater_supply} - - gas_cc_ccs__cl_fresh: - description: >- - Gas combined cycle power-plant with carbon capture and storage cooling by - closed loop cooling technology using freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - gas_cc_ccs__ot_saline: - description: >- - Gas combined cycle power-plant with carbon capture and storage cooling by - once through cooling technology using saline water - input: {commodity: saline_supply_ppl} - - gas_cc_ccs__air: - description: >- - Gas combined cycle power-plant with carbon capture and storage cooling by - air cooled cooling technology using parasitic electricity - input: {commodity: electr} - - gas_hpl__ot_fresh: - description: >- - Natural gas heating plant plant cooling by once through cooling technology - using freshwater - input: {commodity: freshwater_supply} - - gas_hpl__cl_fresh: - description: >- - Natural gas heating plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - gas_hpl__ot_saline: - description: >- - Natural gas heating plant cooling by once through cooling technology using - saline water - input: {commodity: saline_supply_ppl} - - gas_hpl__air: - description: >- - Natural gas heating plant cooling by once through cooling technology by - air cooled cooling technology using parasitic electricity - input: {commodity: electr} - - gas_ppl__ot_fresh: - description: >- - Gas power plant (Rankine cycle) cooling by once through cooling technology - using freshwater - input: {commodity: freshwater_supply} - - gas_ppl__cl_fresh: - description: >- - Gas power plant (Rankine cycle) cooling by closed loop cooling technology - using freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - gas_ppl__ot_saline: - description: >- - Biomass heating power plant cooling by once through cooling technology using - freshwater - input: {commodity: saline_supply_ppl} - - gas_ppl__air: - description: >- - Biomass heating power plant cooling by air cooled cooling technology using - freshwater supply - input: {commodity: electr} - - geo_hpl__ot_fresh: - description: >- - Geothermal heat plant cooling by once through cooling technology using - freshwater - input: {commodity: freshwater_supply} - - geo_hpl__cl_fresh: - description: >- - Geothermal heat plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - geo_hpl__ot_saline: - description: >- - Geothermal heat plant cooling by once through cooling technology using - saline water - input: {commodity: saline_supply_ppl} - - geo_hpl__air: - description: >- - Geothermal heat plant cooling by air cooled cooling technology using - freshwater supply - input: {commodity: electr} - - geo_ppl__ot_fresh: - description: >- - Geothermal power plant cooling by once through cooling technology using - freshwater - input: {commodity: freshwater_supply} - - geo_ppl__cl_fresh: - description: >- - Geothermal power plant cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - geo_ppl__ot_saline: - description: >- - Geothermal power plant cooling by once through cooling technology using - saline water - input: {commodity: saline_supply_ppl} - - geo_ppl__air: - description: >- - Geothermal power plant cooling by closed loop cooling technology using - freshwater supply - input: {commodity: electr} - - igcc__ot_fresh: - description: >- - Integrated gasification combined cycle (IGCC) power plant cooling by once - through cooling technology using freshwater - input: {commodity: freshwater_supply} - - igcc__cl_fresh: - description: >- - Integrated gasification combined cycle (IGCC) power plant cooling by closed - loop cooling technology using freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - igcc__ot_saline: - description: >- - Integrated gasification combined cycle (IGCC) power plant cooling by once - through cooling technology using saline water - input: {commodity: saline_supply_ppl} - - igcc__air: - description: >- - Integrated gasification combined cycle (IGCC) power plant cooling by air cooled - cooling technology using freshwater supply - input: {commodity: electr} - - igcc_ccs__ot_fresh: - description: >- - Integrated gasification combined cycle (IGCC) power plant with carbon capture - and storage cooling by once through cooling technology using freshwater - input: {commodity: freshwater_supply} - - igcc_ccs__cl_fresh: - description: >- - Integrated gasification combined cycle (IGCC) power plant with carbon capture - and storage cooling by closed loop cooling technology using freshwater & - freshwater supply - input: {commodity: freshwater_supply,electr} - - igcc_ccs__ot_saline: - description: >- - Integrated gasification combined cycle (IGCC) power plant with carbon capture - and storage cooling by once through cooling technology using saline water - input: {commodity: saline_supply_ppl} - - igcc_ccs__air: - description: >- - Integrated gasification combined cycle (IGCC) power plant with carbon capture - and storage cooling by air cooled cooling technology using freshwater supply - input: {commodity: electr} - - loil_cc__ot_fresh: - description: >- - Light oil combined cycle cooling by once through cooling technology using - freshwater - input: {commodity: freshwater_supply} - - loil_cc__cl_fresh: - description: >- - Light oil combined cycle cooling by closed loop cooling technology using - freshwater & freshwater supply - input: {commodity: freshwater_supply,electr} - - loil_cc__ot_saline: - description: >- - Light oil combined cycle cooling by once through cooling technology using - saline supply - input: {commodity: saline_supply_ppl} - - loil_cc__air: - description: >- - Light oil combined cycle cooling by air cooled cooling technology using - freshwater supply - input: {commodity: electr} - - loil_ppl__ot_fresh: - description: >- - Existing light oil power plant cooling by once through cooling technology - using extract_freshwater_supply - input: {commodity: freshwater_supply} - - loil_ppl__cl_fresh: - description: >- - Existing light oil power plant cooling by once through cooling technology using - freshwater supply - input: {commodity: freshwater_supply,electr} - - loil_ppl__ot_saline: - description: >- - Existing light oil power plant cooling by once through cooling technology - using freshwater supply - input: {commodity: electr} - - loil_ppl__air: - description: >- - Existing light oil power plant cooling by air cooled cooling technology - using parasitic electricity - input: {commodity: electr} - - nuc_hc__ot_fresh: - description: >- - Nuclear power plant (~GEN III+) (high cost) cooling by once through cooling - technology using freshwater supply - input: {commodity: freshwater_supply} - - nuc_hc__cl_fresh: - description: >- - Nuclear power plant (~GEN III+) (high cost) cooling by closed loop cooling - technology using freshwater supply & parasitic - input: {commodity: freshwater_supply,electr} - - nuc_hc__ot_saline: - description: >- - Nuclear power plant (~GEN III+) (high cost) cooling by once through cooling - technology using saline water supply - input: {commodity: saline_supply_ppl} - - nuc_hc__air: - description: >- - Nuclear power plant (~GEN III+) (high cost) cooling by once through cooling - technology using parasitic electricity - input: {commodity: electr} - - nuc_lc__ot_fresh: - description: >- - Nuclear power plant (~GEN III+) (low cost) cooling by once through cooling - technology using freshwater supply - input: {commodity: freshwater_supply} - - nuc_lc__cl_fresh: - description: >- - Nuclear power plant (~GEN III+) (low cost) cooling by closed loop cooling - technology using freshwater supply & parasitic - input: {commodity: freshwater_supply,electr} - - nuc_lc__ot_saline: - description: >- - Nuclear power plant (~GEN III+) (low cost) cooling by once through cooling - technology using saline water supply - input: {commodity: saline_supply_ppl} - - nuc_lc__air: - description: >- - Nuclear power plant (~GEN III+) (low cost) cooling by once through cooling - technology using parasitic electricity - input: {commodity: electr} - - solar_th_ppl__ot_fresh: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: freshwater_supply} - - solar_th_ppl__cl_fresh: - description: >- - Solar thermal power plant with storage cooling by closed loop cooling - technology using freshwater supply & parasitic electricity - input: {commodity: freshwater_supply,electr} - - solar_th_ppl__ot_saline: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: saline_supply_ppl} - - solar_th_ppl__air: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using parasitic electricity - input: {commodity: electr} - - csp_sm1_ppl__ot_fresh: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: freshwater_supply} - - csp_sm1_ppl__cl_fresh: - description: >- - Solar thermal power plant with storage cooling by closed loop cooling - technology using freshwater supply & parasitic electricity - input: {commodity: freshwater_supply,electr} - - csp_sm1_ppl__ot_saline: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: saline_supply_ppl} - - csp_sm1_ppl__air: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using parasitic electricity - input: {commodity: electr} - - csp_sm3_ppl__ot_fresh: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: freshwater_supply} - - csp_sm3_ppl__cl_fresh: - description: >- - Solar thermal power plant with storage cooling by closed loop cooling - technology using freshwater supply & parasitic electricity - input: {commodity: freshwater_supply,electr} - - csp_sm3_ppl__ot_saline: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using freshwater supply - input: {commodity: saline_supply_ppl} - - csp_sm3_ppl__air: - description: >- - Solar thermal power plant with storage cooling by once through cooling - technology using parasitic electricity - input: {commodity: electr} - diff --git a/message_ix_models/model/water/build.py b/message_ix_models/model/water/build.py index c097d4cc75..0cdbbcc087 100644 --- a/message_ix_models/model/water/build.py +++ b/message_ix_models/model/water/build.py @@ -8,13 +8,101 @@ from message_ix_models import Context, ScenarioInfo from message_ix_models.model import build from message_ix_models.model.structure import get_codes -from message_ix_models.util import package_data_path +from message_ix_models.util import broadcast, package_data_path from .utils import read_config log = logging.getLogger(__name__) +def cat_tec_cooling(context: Context) -> tuple[pd.DataFrame, list[str]]: + """ + Categorize cooling technologies based on predefined types and match them with + parent technologies present in the scenario. + + This function extracts cooling technology data from a CSV file, filters them + based on parent technologies available in the scenario, and categorizes each + cooling technology into a predefined type. It also retrieves a list of unique + region nodes from the scenario parameter data. + + Parameters + ---------- + context : Context + Provides access to the current scenario and configuration. + + Returns + ------- + tuple[pd.DataFrame, list[str]] + - cat_tec: A DataFrame with columns: + - 'type_tec': Cooling technology category. + - 'tec': Name of the cooling technology. + - regions_df: A list of unique region nodes from the scenario. + """ + # Define cooling type categories and their corresponding strings + cooling_types = { + "share_cooling_ot_fresh_tot": ["ot_fresh", "cl_fresh", "air", "ot_saline"], + "share_cooling_cl_fresh_tot": ["ot_fresh", "cl_fresh", "air", "ot_saline"], + "share_cooling_air_tot": ["ot_fresh", "cl_fresh", "air", "ot_saline"], + "share_cooling_ot_saline_tot": ["ot_fresh", "cl_fresh", "air", "ot_saline"], + "share_cooling_ot_fresh_share": ["ot_fresh"], + "share_cooling_cl_fresh_share": ["cl_fresh"], + "share_cooling_air_share": ["air"], + "share_cooling_ot_saline_share": ["ot_saline"], + } + + FILE = "tech_water_performance_ssp_msg.csv" + path = package_data_path("water", "ppl_cooling_tech", FILE) + df = pd.read_csv(path) + cooling_df = df.loc[df["technology_group"] == "cooling"].copy(deep=True) + # Separate a column for parent technologies of respective cooling + # techs + cooling_df["parent_tech"] = ( + cooling_df["technology_name"] + .apply(lambda x: pd.Series(str(x).split("__"))) + .drop(columns=1) + ) + # Extract unique technologies + sc = context.get_scenario() + # get df = sc.par("input") for technollgies in cooling_df(parent_tach) + df = sc.par("input", filters={"technology": cooling_df["parent_tech"].unique()}) + missing_tec = cooling_df["parent_tech"][ + ~cooling_df["parent_tech"].isin(df["technology"]) + ] + # some techs only have output, like csp + ref_output = sc.par("output", {"technology": missing_tec}) + ref_output.columns = df.columns + # merge ref_input and ref_output + df = pd.concat([df, ref_output]) + parent_tech_sc = df["technology"].unique() + regions_df = df["node_loc"].unique().tolist() + + # Assertion check for valid data + assert ( + len(parent_tech_sc) > 0 + ), "No matching parent technologies found in the scenario." + assert len(regions_df) > 0, "No unique nodes (regions) found in the scenario." + + # not filter cooling_tec with only parent_tech matching parent_tech_sc + cooling_df = cooling_df.loc[cooling_df["parent_tech"].isin(parent_tech_sc)].copy() + unique_technologies = cooling_df["technology_name"].unique() + + # Create a list to store rows for the cat_tec DataFrame + cat_tec_rows = [] + + # Iterate through unique technologies + for tech in unique_technologies: + for type_tec, keywords in cooling_types.items(): + for keyword in keywords: + if keyword in tech: + # Add a row to the cat_tec list with type_tec and technology + cat_tec_rows.append({"type_tec": type_tec, "tec": tech}) + + # Create the cat_tec DataFrame + cat_tec = pd.DataFrame(cat_tec_rows) + + return cat_tec, regions_df + + def get_spec(context: Context) -> Mapping[str, ScenarioInfo]: """Return the specification for nexus implementation @@ -30,6 +118,22 @@ def get_spec(context: Context) -> Mapping[str, ScenarioInfo]: remove = ScenarioInfo() add = ScenarioInfo() + # cooling data included by default + # Merge technology.yaml with set.yaml + context["water set"]["cooling"]["technology"]["add"] = context["water technology"][ + "cooling" + ] + # Update the ScenarioInfo objects with required and new set elements + for set_name, config in context["water set"]["cooling"].items(): + # Required elements + require.set[set_name].extend(config.get("require", [])) + + # Elements to remove + remove.set[set_name].extend(config.get("remove", [])) + + # Elements to add + add.set[set_name].extend(config.get("add", [])) + if context.nexus_set == "nexus": # Merge technology.yaml with set.yaml context["water set"]["nexus"]["technology"]["add"] = context[ @@ -153,21 +257,82 @@ def get_spec(context: Context) -> Mapping[str, ScenarioInfo]: # Sets to add add.set[set_name].extend(config) - elif context.nexus_set == "cooling": - # Merge technology.yaml with set.yaml - context["water set"]["cooling"]["technology"]["add"] = context[ - "water technology" - ]["cooling"] - # Update the ScenarioInfo objects with required and new set elements - for set_name, config in context["water set"]["cooling"].items(): - # Required elements - require.set[set_name].extend(config.get("require", [])) + # for both cooling and nexus add share contraints for cooling technologies + # cat_tec - # Elements to remove - remove.set[set_name].extend(config.get("remove", [])) + results = {} + cat_tec, nodes_cooling = cat_tec_cooling(context) + results["cat_tec"] = cat_tec.values.tolist() + n = len(nodes_cooling) + # Share commodity for urban water recycling + shares_cool = [ + "share_cooling_ot_fresh", + "share_cooling_cl_fresh", + "share_cooling_air", + "share_cooling_ot_saline", + ] + commodity_cool = ["ot_fresh", "cl_fresh", "air", "ot_saline"] + + type_tec_share = [ + "share_cooling_ot_fresh_share", + "share_cooling_cl_fresh_share", + "share_cooling_air_share", + "share_cooling_ot_saline_share", + ] + df_share = pd.DataFrame( + { + "shares": shares_cool, + "node_share": [None] * len(shares_cool), # Placeholder for node_share + "node": [None] * len(shares_cool), # Placeholder for node + "type_tec": type_tec_share, + "mode": "M1", # Repeat mode + "commodity": commodity_cool, + "level": "share", # Repeat level + } + ).pipe(broadcast, node_share=nodes_cooling) + + df_share["node"] = df_share["node_share"] + # re order columns like this: + # ['shares', 'node_share', 'node', 'type_tec', 'mode', 'commodity', 'level'] + df_share = df_share[ + ["shares", "node_share", "node", "type_tec", "mode", "commodity", "level"] + ] + + df_list = df_share.values.tolist() + results["map_shares_commodity_share"] = df_list + # for total + type_tec_tot = [ + "share_cooling_ot_fresh_tot", + "share_cooling_cl_fresh_tot", + "share_cooling_air_tot", + "share_cooling_ot_saline_tot", + ] + df_share = pd.DataFrame( + { + "shares": shares_cool, + "node_share": [None] * len(shares_cool), # Placeholder for node_share + "node": [None] * len(shares_cool), # Placeholder for node + "type_tec": type_tec_tot, + "mode": "M1", # Repeat mode + "commodity": [None] * len(shares_cool), + "level": "share", # Repeat level + } + ).pipe(broadcast, node_share=nodes_cooling, commodity=commodity_cool) - # Elements to add - add.set[set_name].extend(config.get("add", [])) + df_share["node"] = df_share["node_share"] + # re order columns like this: + # ['shares', 'node_share', 'node', 'type_tec', 'mode', 'commodity', 'level'] + df_share = df_share[ + ["shares", "node_share", "node", "type_tec", "mode", "commodity", "level"] + ] + + df_list = df_share.values.tolist() + + results["map_shares_commodity_total"] = df_list + + for set_name, config in results.items(): + # Sets to add + add.set[set_name].extend(config) return dict(require=require, remove=remove, add=add) diff --git a/message_ix_models/model/water/cli.py b/message_ix_models/model/water/cli.py index bc4509724a..69ccd6153d 100644 --- a/message_ix_models/model/water/cli.py +++ b/message_ix_models/model/water/cli.py @@ -120,6 +120,7 @@ def water_ini(context: "Context", regions, time): help="Defines whether the model solves with macro", ) @common_params("regions") +@scenario_param("--ssp") def nexus_cli(context: "Context", regions, rcps, sdgs, rels, macro=False): """ Add basin structure connected to the energy sector and @@ -157,7 +158,10 @@ def nexus(context: "Context", regions, rcps, sdgs, rels, macro=False): context.SDG = sdgs context.REL = rels - log.info(f"RCP assumption is {context.RCP}. SDG is {context.SDG}") + log.info( + f"SSP assumption is {context.ssp}. SDG is {context.SDG}. " + f"RCP is {context.RCP}. REL is {context.REL}." + ) from .build import main as build @@ -247,6 +251,11 @@ def cooling(context, regions, rcps, rels): context.RCP = rcps context.REL = rels + log.info( + f"SSP assumption is {context.ssp}. " + f"RCP is {context.RCP}. REL is {context.REL}." + ) + from .build import main as build # Determine the output scenario name based on the --url CLI option. If the @@ -273,7 +282,7 @@ def cooling(context, regions, rcps, rels): scen.set_as_default() # Solve - scen.solve(solve_options={"lpmethod": "4"}, case=caseName) + scen.solve(solve_options={"lpmethod": "4", "scaind": "1"}, case=caseName) @cli.command("report") diff --git a/message_ix_models/model/water/data/pre_processing/calculate_ppl_cooling_technology_shares.R b/message_ix_models/model/water/data/pre_processing/calculate_ppl_cooling_technology_shares.R index 2ba49b9ffc..e76a2d63ff 100644 --- a/message_ix_models/model/water/data/pre_processing/calculate_ppl_cooling_technology_shares.R +++ b/message_ix_models/model/water/data/pre_processing/calculate_ppl_cooling_technology_shares.R @@ -79,6 +79,7 @@ for (reg in c("R11", "R12")) { mutate(match = gsub("_.*", "", utype_pl)) %>% group_by(match) %>% summarise(utype_pl = first(utype_pl), match = first(match)) + map_all_types <- cooltech_cost_shares %>% select(utype, cooling) %>% mutate(match = gsub("_.*", "", utype)) %>% @@ -86,6 +87,43 @@ for (reg in c("R11", "R12")) { select(-match) %>% filter(!is.na(utype_pl)) %>% distinct() + # add csp to the mapping + cool_tecs <- unique(map_all_types$cooling) + # start an empty dataframe with the same columns as map_all_types + csp_map <- data.frame() + + for (csp_tec in c("csp_sm1_res", "csp_sm3_res")) { + csp_map <- csp_map %>% + bind_rows(data.frame( + utype = csp_tec, + utype_pl = "solar_th_ppl" + ) %>% + crossing(cooling = cool_tecs)) + for (res in c(1:7)) { + csp_map <- csp_map %>% + bind_rows(data.frame( + utype = paste0(csp_tec, res), + utype_pl = "solar_th_ppl" + ) %>% + crossing(cooling = cool_tecs)) + } + } + csp_map <- csp_map %>% select(utype, cooling, utype_pl) + map_all_types <- bind_rows(map_all_types, csp_map) + + # for each utype, make sure no shares are 0 + shars_cooling_MSG_global <- shars_cooling_MSG_global %>% + gather(msgregion, shares, -c(utype, cooling)) %>% + group_by(utype, msgregion) %>% + mutate(max_shares = max(shares)) %>% + ungroup() %>% + group_by(utype) %>% + mutate(main_tec_gbl = cooling[which.max(shares)]) %>% + ungroup() %>% + # change values + mutate(shares = if_else(max_shares == 0 & cooling == main_tec_gbl, 1, shares)) %>% + select(-c(max_shares, main_tec_gbl)) %>% + spread(msgregion, shares) # This will be the file write.csv(shars_cooling_MSG_global, paste0(data_subf, "/cool_techs_region_share_", reg, ".csv"), row.names = FALSE) @@ -126,6 +164,20 @@ shars_cooling_country <- cooling_plants %>% shars_cooling_country[is.na(shars_cooling_country)] <- 0 +shars_cooling_country <- shars_cooling_country %>% + gather(msgregion, shares, -c(utype, cooling)) %>% + group_by(utype, msgregion) %>% + mutate(max_shares = max(shares)) %>% + ungroup() %>% + group_by(utype) %>% + mutate(main_tec_gbl = cooling[which.max(shares)]) %>% + ungroup() %>% + # change values + mutate(shares = if_else(max_shares == 0 & cooling == main_tec_gbl, 1, shares)) %>% + select(-c(max_shares, main_tec_gbl)) %>% + spread(msgregion, shares) + + # This will be the file write.csv(shars_cooling_country, paste0(data_subf, "/cool_techs_country_share.csv"), row.names = FALSE) @@ -148,101 +200,3 @@ cooltech_cost_shares_c <- cooltech_cost_shares %>% cooltech_cost_shares_c[is.na(cooltech_cost_shares_c)] <- 0 # write new file write.csv(cooltech_cost_shares_c, paste0(data_subf, "/cooltech_cost_and_shares_country.csv"), row.names = FALSE) - - -# OLD DATABASE, with the new one, most of this processing is done already by the script -# https://github.com/OFR-IIASA/message_data/blob/RES_add_5_year_timesteps2/data/model/platts_historical_capacity/merge_WEPP_Raptis_CARMA.py - -# # loading -# temp = readOGR(path.expand(paste0(data_subf,'\\delineation')),'MSG11_reg_simpl',verbose=FALSE) -# -# # the input shape file should come externally, in some model setup -# # usually it has two columns, the first should be called 'PID', the second 'REGION' -# # only the second column matter in terms of name, and should have the region names used in the model -# -# region_units.spdf = spTransform(temp, CRS("+proj=longlat")) -# rm(temp) - -# # Read in Raptis et al data -# ppl.df = data.frame(read.csv(paste0(data_subf,'/ppl_cooling_tech/POWER_PLANTS_2016_Raptis.csv'),stringsAsFactors=FALSE)) -# raptis_types_map_cooling.df = data.frame(read.csv(paste0(data_subf,'/ppl_cooling_tech/raptis_types_map_cooling_type.csv'),stringsAsFactors=FALSE)) -# raptis_types_map_unit.df = data.frame(read.csv(paste0(data_subf,'/ppl_cooling_tech/raptis_types_map_unit_type.csv'),stringsAsFactors=FALSE)) -# -# # MESSAGE technologies -# msg_types.df = data.frame(read.csv(paste0(data_subf,'/ppl_cooling_tech/tech_names_ssp_msg.csv'),stringsAsFactors=FALSE)) -# msg_ppl = unique(c(raptis_types_map_unit.df$msgssp_type,raptis_types_map_unit.df$alt1,raptis_types_map_unit.df$alt2,raptis_types_map_unit.df$alt3)) -# msg_ppl = msg_ppl[-1*(which(msg_ppl==''))] -# msg_cool = unique(raptis_types_map_cooling.df$msgssp_type) -# -# fuel_group = lapply(1:length(msg_ppl),function(x){ -# ind1 = which( as.character(raptis_types_map_unit.df$msgssp_type) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt1) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt2) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt3) == as.character(msg_ppl[x]) ) -# return(unique(unlist(strsplit( as.character(raptis_types_map_unit.df$raptis_type[ind1]),'[.]' ))[seq(1,length(unlist(strsplit( as.character(raptis_types_map_unit.df$raptis_type[ind1]),'[.]' ))),b=2)])) -# }) -# -# utype = lapply(1:length(msg_ppl),function(x){ -# ind1 = which( as.character(raptis_types_map_unit.df$msgssp_type) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt1) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt2) == as.character(msg_ppl[x]) | as.character(raptis_types_map_unit.df$alt3) == as.character(msg_ppl[x]) ) -# return(unique(unlist(strsplit( as.character(raptis_types_map_unit.df$raptis_type[ind1]),'[.]' ))[seq(2,length(unlist(strsplit( as.character(raptis_types_map_unit.df$raptis_type[ind1]),'[.]' ))),b=2)])) -# } ) -# -# cool = lapply(1:length(msg_cool),function(x){ as.character(raptis_types_map_cooling.df$raptis_type[which( as.character(raptis_types_map_cooling.df$msgssp_type) == as.character(msg_cool[x]) )])}) -# -# # Pull out data for this specific technology for each region -# cool_techs = unlist(lapply(1:length(msg_cool), function(x){as.matrix(unlist(lapply(1:length(msg_ppl),function(y){paste(msg_ppl[y],msg_cool[x],sep='.')})))})) -# xs = rep(seq(1,length(msg_ppl),by=1),length(msg_cool)) -# ys = unlist(lapply(1:length(msg_cool),function(dd){ rep(dd,length(msg_ppl)) })) -# -# # Cooling techs by pid -# cool_techs_by_pid = data.frame(do.call(rbind, lapply(1:length(cool_techs), function(z){ -# xx = xs[z] -# yy = ys[z] -# temp = ppl.df[which( as.character(ppl.df$Fuel_group) %in% as.character(fuel_group[[xx]]) & -# as.character(ppl.df$UTYPE) %in% as.character(utype[[xx]]) & -# as.character(ppl.df$COOL_complete) %in% as.character(cool[[yy]]) ),] -# if(nrow(temp)>0) -# { -# temp$x = temp$long -# temp$y = temp$lat -# coordinates(temp) = ~ x + y -# proj4string(temp) = proj4string(region_units.spdf) -# temp$pid = unlist(over(temp,region_units.spdf[,which(names(region_units.spdf) == 'PID')])) -# temp = temp[-1*(which(is.na(temp$pid) | is.na(temp$MW))),] -# mw_by_pid = unlist(lapply(1:length(region_units.spdf@data$PID), function(bb){ max(0, sum( temp$MW[ which( as.character(temp$pid) == as.character(region_units.spdf@data$PID[bb]) ) ], na.rm=TRUE ), na.rm=TRUE) } ) ) -# return(mw_by_pid) -# }else -# { -# mw_by_pid = rep(0,length(region_units.spdf@data$REGION)) -# return(mw_by_pid) -# } -# }))) -# row.names(cool_techs_by_pid) = cool_techs -# -# type_general = unlist(strsplit( cool_techs, '[.]' ))[seq(1,length(unlist(strsplit( cool_techs, '[.]' ))),by=2)] -# cool_general = unlist(strsplit( cool_techs, '[.]' ))[seq(2,length(unlist(strsplit( cool_techs, '[.]' ))),by=2)] -# cool_techs_shares_by_pid = data.frame( do.call( cbind, lapply(1:length(region_units.spdf@data$REGION), function(r){ as.matrix( unlist( lapply( 1:length(cool_techs), function(z){ -# share = cool_techs_by_pid[z,r] / sum( c( cool_techs_by_pid[ which( as.character(type_general) == as.character(type_general[z]) ), r] ), na.rm = TRUE) -# if( is.na(share) | length(share) == 0 ){share = round( sum( c( cool_techs_by_pid[ which( as.character(cool_general) == as.character(cool_general[z]) ), r] ), na.rm = TRUE) / sum( c( cool_techs_by_pid[ , r] ), na.rm = TRUE), digits = 3)} -# return(round(share, digits = 3)) } ) ) ) } ) ) ) -# row.names(cool_techs_shares_by_pid) = cool_techs -# names(cool_techs_shares_by_pid) = as.character(region_units.spdf@data$REGION) -# cool_techs_shares_by_pid$cooling_utype = as.character(cool_techs) -# cool_techs_shares_by_pid$cooling = as.character(cool_general) -# cool_techs_shares_by_pid$utype = as.character(type_general) -# cool_techs_shares_by_pid = cool_techs_shares_by_pid[,c('utype','cooling',as.character(region_units.spdf@data$REGION))] -# cool_techs_shares_by_pid = cool_techs_shares_by_pid[ order( cool_techs_shares_by_pid$utype ), ] -# -# # This will be the file -# write.csv(cool_techs_shares_by_pid,paste0(data_subf,'/cool_techs_region_share.csv'),row.names = FALSE) -# -# #add 'mix_' to the columns names for regions -# cool_techs_shares_by_pid2 = cool_techs_shares_by_pid -# new_names = paste0('mix_', names(cool_techs_shares_by_pid2)[!names(cool_techs_shares_by_pid2) %in% c('utype','cooling')] ) -# names(cool_techs_shares_by_pid2)[!names(cool_techs_shares_by_pid2) %in% c('utype','cooling')] = new_names -# -# # add the data to the cooltech_cost_and_shares_ssp_msg.csv file -# cooltech_cost_shares = read.csv(paste0(data_subf,'/cooltech_cost_and_shares_ssp_msg.csv'),stringsAsFactors=FALSE) -# cooltech_cost_shares = cooltech_cost_shares %>% -# select(utype, cooling,investment_million_USD_per_MW_low, investment_million_USD_per_MW_mid, investment_million_USD_per_MW_high) %>% -# left_join(cool_techs_shares_by_pid2) -# -# # write new file -# write.csv(cool_techs_shares_by_pid,paste0(data_subf,'/cooltech_cost_and_shares_ssp_msg.csv'),row.names = FALSE) diff --git a/message_ix_models/model/water/data/water_for_ppl.py b/message_ix_models/model/water/data/water_for_ppl.py index e651d3beae..6c9215bcc0 100644 --- a/message_ix_models/model/water/data/water_for_ppl.py +++ b/message_ix_models/model/water/data/water_for_ppl.py @@ -1,9 +1,11 @@ """Prepare data for water use for cooling & energy technologies.""" -from typing import Any, Literal, Union +import logging +from typing import Literal, Union import numpy as np import pandas as pd +import yaml from message_ix import make_df from message_ix_models import Context @@ -16,6 +18,8 @@ same_node, ) +log = logging.getLogger(__name__) + def missing_tech(x: pd.Series) -> pd.Series: """Assign values to missing data. @@ -31,19 +35,27 @@ def missing_tech(x: pd.Series) -> pd.Series: "nuc_hc": 1 / 0.326, "nuc_lc": 1 / 0.326, "solar_th_ppl": 1 / 0.385, + "csp_sm1_res": 1 / 0.385, + "csp_sm3_res": 1 / 0.385, } - if pd.notna(x["technology"]) and x["technology"] in data_dic: - value = data_dic.get(x["technology"]) - if x["value"] < 1: - value = max(x["value"], value) - # for backwards compatibility - if x["level"] == "cooling": - return pd.Series({"value": value, "level": "dummy_supply"}) - else: - return pd.Series({"value": value, "level": x["level"]}) - else: - return pd.Series({"value": x["value"], "level": x["level"]}) + if pd.notna(x["technology"]): + # Find a matching key in `data_dic` using substring matching + matched_key = next((key for key in data_dic if key in x["technology"]), None) + + if matched_key: + value = data_dic[matched_key] + if x["value"] < 1: + value = max(x["value"], value) + # for backwards compatibility + return ( + pd.Series({"value": value, "level": "dummy_supply"}) + if x["level"] == "cooling" + else pd.Series({"value": value, "level": x["level"]}) + ) + + # Return the original values if no match is found + return pd.Series({"value": x["value"], "level": x["level"]}) def cooling_fr(x: pd.Series) -> float: @@ -85,26 +97,38 @@ def shares( corresponding cooling fraction """ for col in search_cols_cooling_fraction: - # MAPPING ISOCODE to region name, assume one country only col2 = context.map_ISO_c[col] if context.type_reg == "country" else col + + # Filter the cooling fraction cooling_fraction = hold_df[ (hold_df["node_loc"] == col2) & (hold_df["technology_name"] == x["technology"]) ]["cooling_fraction"] - x[col] = x[col] * cooling_fraction - results: list[Any] = [] + # Log unmatched rows + if cooling_fraction.empty: + log.info( + f"No cooling_fraction found for node_loc: {col2}, " + f"technology: {x['technology']}" + ) + cooling_fraction = pd.Series([0]) + + # Ensure the Series is not empty before accessing its first element + # # Default to 0 if cooling_fraction is empty + x[col] = ( + x[col] * cooling_fraction.iloc[0] + if not cooling_fraction.empty + else x[col] * 0 + ) + + # Construct the output + results = [] for i in x: if isinstance(i, str): results.append(i) else: - if not len(i): - return pd.Series( - [i for i in range(len(search_cols) - 1)] + ["delme"], - index=search_cols, - ) - else: - results.append(float(i)) + results.append(float(i) if not isinstance(i, pd.Series) else i.iloc[0]) + return pd.Series(results, index=search_cols) @@ -278,6 +302,81 @@ def relax_growth_constraint( return g_lo +def cooling_shares_SSP_from_yaml( + context: "Context", # Aligning with the style of the functions provided +) -> pd.DataFrame: + """ + Populate a DataFrame for 'share_commodity_up' from a YAML configuration file. + + Parameters + ---------- + context : Context + Context object containing SSP information (e.g., context.SSP) + + Returns + ------- + pd.DataFrame + A DataFrame populated with values from the YAML configuration file. + """ + # Load the YAML file + FILE = "ssp.yaml" + yaml_file_path = package_data_path("water", FILE) + try: + with open(yaml_file_path, "r") as file: + yaml_data = yaml.safe_load(file) + except FileNotFoundError: + log.warning(f"YAML file '{FILE}' not found. Please, check your data.") + + # Read the SSP from the context + ssp = context.ssp + + # Navigate to the scenarios section in the YAML file + macro_regions_data = yaml_data.get("macro-regions", {}) + scenarios = yaml_data.get("scenarios", {}) + + # Validate that the SSP exists in the YAML data + if ssp not in scenarios: + log.warning( + f"SSP '{ssp}' not found in the 'scenarios' section of the YAML file." + ) + return pd.DataFrame() + + # Extract data for the specified SSP + ssp_data = scenarios[ssp]["cooling_tech"] + + # Initialize an empty list to hold DataFrames + df_region = pd.DataFrame() + info = context["water build info"] + year_constraint = [year for year in info.Y if year >= 2050] + + # Loop through all regions and shares + for macro_region, region_data in ssp_data.items(): + share_data = region_data.get("share_commodity_up", {}) + reg_shares = macro_regions_data[macro_region] + # filter reg shares that are also in info.N + reg_shares = [ + node + for node in info.N + if any(node.endswith(reg_share) for reg_share in reg_shares) + ] + for share, value in share_data.items(): + # Create a DataFrame for the current region and share + df_region = pd.concat( + [ + df_region, + make_df( + "share_commodity_up", + shares=[share], + time=["year"], + value=[value], + unit=["-"], + ).pipe(broadcast, year_act=year_constraint, node_share=reg_shares), + ] + ) + + return df_region + + # water & electricity for cooling technologies @minimum_version("message_ix 3.7") def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: @@ -351,15 +450,23 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: # Extracting input database from scenario for parent technologies # Extracting input values from scenario - ref_input: pd.DataFrame = scen.par( - "input", {"technology": cooling_df["parent_tech"]} - ) + ref_input = scen.par("input", {"technology": cooling_df["parent_tech"]}) + # list of tec in cooling_df["parent_tech"] that are not in ref_input + missing_tec = cooling_df["parent_tech"][ + ~cooling_df["parent_tech"].isin(ref_input["technology"]) + ] + # some techs only have output, like csp + ref_output = scen.par("output", {"technology": missing_tec}) + # set columns names of ref_output to be the same as ref_input + ref_output.columns = ref_input.columns + # merge ref_input and ref_output + ref_input = pd.concat([ref_input, ref_output]) # Extracting historical activity from scenario - ref_hist_act: pd.DataFrame = scen.par( + ref_hist_act = scen.par( "historical_activity", {"technology": cooling_df["parent_tech"]} ) # Extracting historical capacity from scenario - ref_hist_cap: pd.DataFrame = scen.par( + ref_hist_cap = scen.par( "historical_new_capacity", {"technology": cooling_df["parent_tech"]} ) @@ -534,6 +641,25 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: results["emission_factor"] = emi + # add output for share contraints to introduce SSP assumptions + # also in the nexus case, the share contraints are at the macro-regions + + out = make_df( + "output", + node_loc=input_cool["node_loc"], + technology=input_cool["technology_name"], + year_vtg=input_cool["year_vtg"], + year_act=input_cool["year_act"], + mode=input_cool["mode"], + node_dest=input_cool["node_origin"], + commodity=input_cool["technology_name"].str.split("__").str[1], + level="share", + time="year", + time_dest="year", + value=1, + unit="-", + ) + # add water return flows for cooling tecs # Use share of basin availability to distribute the return flow from df_sw = map_basin_region_wat(context) @@ -544,7 +670,6 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: ) df_sw["time_dest"] = df_sw["time_dest"].astype(str) if context.nexus_set == "nexus": - out = pd.DataFrame() for nn in icmse_df.node_loc.unique(): # input cooling fresh basin icfb_df = icmse_df[icmse_df["node_loc"] == nn] @@ -575,7 +700,8 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: out = out.dropna(subset=["value"]) out.reset_index(drop=True, inplace=True) - results["output"] = out + # in any case save out into results + results["output"] = out # costs and historical parameters path1 = package_data_path("water", "ppl_cooling_tech", FILE1) @@ -583,8 +709,8 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: # Combine technology name to get full cooling tech names cost["technology"] = cost["utype"] + "__" + cost["cooling"] # Filtering out 2010 data to use for historical values - input_cool_2010 = input_cool[ - (input_cool["year_act"] == 2010) & (input_cool["year_vtg"] == 2010) + input_cool_2020 = input_cool[ + (input_cool["year_act"] == 2020) & (input_cool["year_vtg"] == 2020) ] # Filter out columns that contain 'mix' in column name columns = [col for col in cost.columns if "mix_" in col] @@ -594,7 +720,7 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: search_cols = [ col for col in cost.columns if context.regions in col or "technology" in col ] - hold_df = input_cool_2010[ + hold_df = input_cool_2020[ ["node_loc", "technology_name", "cooling_fraction"] ].drop_duplicates() search_cols_cooling_fraction = [col for col in search_cols if col != "technology"] @@ -608,7 +734,6 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: hold_df=hold_df, search_cols=search_cols, ) - hold_cost = hold_cost[hold_cost["technology"] != "delme"] changed_value_series = ref_hist_act.apply( hist_act, axis=1, context=context, hold_cost=hold_cost @@ -627,6 +752,7 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: ] # dataframe for historical activities of cooling techs act_value_df = pd.DataFrame(changed_value_series_flat, columns=columns) + act_value_df = act_value_df[act_value_df["new_value"] > 0] changed_value_series = ref_hist_cap.apply( hist_cap, axis=1, context=context, hold_cost=hold_cost @@ -644,6 +770,7 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: "unit", ] cap_value_df = pd.DataFrame(changed_value_series_flat, columns=columns) + cap_value_df = cap_value_df[cap_value_df["new_value"] > 0] # Make model compatible df for historical activitiy h_act = make_df( @@ -671,54 +798,6 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: results["historical_new_capacity"] = h_cap - # Add upper bound for seawater cooling - # sums up all the historical activities of seawater cooling technologies - # h_act_saline = h_act[h_act["technology"].str.endswith("saline")] - # h_act_saline = h_act_saline[h_act_saline["year_act"] == 2015] - # h_act_saline.drop(columns=["year_act", "mode", "time", "unit"], inplace=True) - # h_act_saline = h_act_saline.groupby(["node_loc"]).sum() - - # inp_saline = inp[inp["technology"].str.endswith("ot_saline")] - # inp_saline = inp_saline[ - # (inp_saline["year_vtg"] == 2015) & (inp_saline["year_act"] == 2015) - # ] - # inp_saline.drop( - # columns=[ - # "year_vtg", - # "commodity", - # "year_act", - # "mode", - # "level", - # "time", - # "time_origin", - # "unit", - # "node_origin", - # ], - # inplace=True, - # ) - # water_fr = inp_saline.groupby(["node_loc"]).mean() - # # multiplying input values of water withdrawal with - # bound_saline = water_fr.mul(h_act_saline) - - # bound_up = make_df( - # "bound_activity_up", - # node_loc=bound_saline.index, - # technology="extract_salinewater", - # mode="M1", - # time="year", - # value=bound_saline["value"].values, - # unit="km3/year", - # ).pipe(broadcast, year_act=info.Y) - - # results["bound_activity_up"] = bound_up - - # Filter out just cl_fresh & air technologies for adding inv_cost in model, - # The rest of technologies are assumed to have costs included in parent technologies - # con3 = cost['technology'].str.endswith("cl_fresh") - # con4 = cost['technology'].str.endswith("air") - # con5 = cost.technology.isin(input_cool['technology_name']) - # inv_cost = cost[(con3) | (con4)] - # Manually removing extra technologies not required # TODO make it automatic to not include the names manually techs_to_remove = [ @@ -872,6 +951,12 @@ def cool_tech(context: "Context") -> dict[str, pd.DataFrame]: results["growth_activity_up"] = g_up + # add share constraints for cooling technologies based on SSP assumptions + df_share = cooling_shares_SSP_from_yaml(context) + + if not df_share.empty: + results["share_commodity_up"] = df_share + return results diff --git a/message_ix_models/tests/model/water/data/test_water_for_ppl.py b/message_ix_models/tests/model/water/data/test_water_for_ppl.py index 461232cb69..b022b9f526 100644 --- a/message_ix_models/tests/model/water/data/test_water_for_ppl.py +++ b/message_ix_models/tests/model/water/data/test_water_for_ppl.py @@ -4,11 +4,12 @@ import pytest from message_ix import Scenario -from message_ix_models import ScenarioInfo +from message_ix_models import ScenarioInfo, testing # from message_ix_models.model.structure import get_codes from message_ix_models.model.water.data.water_for_ppl import ( cool_tech, + cooling_shares_SSP_from_yaml, non_cooling_tec, relax_growth_constraint, ) @@ -299,3 +300,19 @@ def test_relax_growth_constraint(constraint_type, year_type): # Assert that the result matches the expected DataFrame pd.testing.assert_frame_equal(result, expected_result) + + +@pytest.mark.parametrize("SSP, regions", [("SSP2", "R11"), ("LED", "R12")]) +def test_cooling_shares_SSP_from_yaml(request, test_context, SSP, regions): + test_context.model.regions = regions + scenario = testing.bare_res(request, test_context) + test_context["water build info"] = ScenarioInfo(scenario_obj=scenario) + test_context.ssp = SSP + + # Act + result = cooling_shares_SSP_from_yaml(test_context) + print("RESULT ", result) + # Assert + assert isinstance(result, pd.DataFrame), "Result should be a DataFrame" + assert not result.empty, "Resulting DataFrame should not be empty" + assert result["year_act"].min() >= 2050 # Validate year constraint diff --git a/message_ix_models/tests/model/water/test_build.py b/message_ix_models/tests/model/water/test_build.py index 41fd628fc3..056d2e584c 100644 --- a/message_ix_models/tests/model/water/test_build.py +++ b/message_ix_models/tests/model/water/test_build.py @@ -1,8 +1,9 @@ +import pandas as pd import pytest from message_ix_models import ScenarioInfo, testing from message_ix_models.model.structure import get_codes -from message_ix_models.model.water.build import get_spec, map_basin +from message_ix_models.model.water.build import cat_tec_cooling, get_spec, map_basin from message_ix_models.model.water.build import main as build from message_ix_models.model.water.data.water_supply import map_basin_region_wat @@ -35,13 +36,58 @@ def test_build(request, test_context): assert "extract_surfacewater" in scenario.set("technology").tolist() +def parametrize_for_cat_tec(request, context): + # used in test_get_spec and test_cat_tec_cooling + scenario = testing.bare_res(request, context) + scenario.check_out() + inp_par = pd.DataFrame( + { + "node_loc": ["R12_NAM", "R12_NAM"], + "technology": ["coal_ppl", "gas_ppl"], + "year_vtg": [2020, 2020], + "year_act": [2020, 2020], + "mode": ["all", "all"], + "node_origin": ["R12_NAM", "R12_NAM"], + "commodity": ["electr", "electr"], + "level": ["secondary", "secondary"], + "time": ["year", "year"], + "time_origin": ["year", "year"], + "value": [1, 1], + "unit": ["GWa", "GWa"], + } + ) + out_par = pd.DataFrame( + { + "node_loc": ["R12_NAM"], + "technology": ["geo_ppl"], + "year_vtg": [2020], + "year_act": [2020], + "mode": ["all"], + "node_dest": ["R12_NAM"], + "commodity": ["electr"], + "level": ["secondary"], + "time": ["year"], + "time_dest": ["year"], + "value": [1], + "unit": ["GWa"], + } + ) + scenario.add_par("input", inp_par) + scenario.add_par("output", out_par) + scenario.commit("") + context.set_scenario(scenario) + return context + + @pytest.mark.parametrize("nexus_set", ["nexus", "cooling"]) -def test_get_spec(test_context, nexus_set): +def test_get_spec(request, test_context, nexus_set): # Ensure test_context has all necessary keys for get_spec() test_context.nexus_set = nexus_set - test_context.regions = "R12" + test_context.model.regions = "R12" test_context.type_reg = "global" + test_context = parametrize_for_cat_tec(request, test_context) + if nexus_set == "nexus": # Need this to prepare for running get_spec() with nexus_set == "nexus" _ = map_basin(context=test_context) @@ -55,3 +101,16 @@ def test_get_spec(test_context, nexus_set): # Contents are read correctly assert "water_supply" in spec["remove"].set["level"] assert "water_supply" in spec["add"].set["level"] + + +def test_cat_tec_cooling(request, test_context): + test_context.model.regions = "R12" + test_context = parametrize_for_cat_tec(request, test_context) + # Run the function + cat_tec, regions = cat_tec_cooling(test_context) + + # Assertions on the results + assert isinstance(cat_tec, pd.DataFrame) + assert set(cat_tec.columns) == {"type_tec", "tec"} + assert isinstance(regions, list) + assert len(regions) > 0