Demonstrate how WaMDaM enables systematic data query and comparisons across multiple different models and datasets.
Figure: Flowchart of the steps that users follow to use WaMDaM
We demonstrate the WaMDaM design and use cases using twelve data sources and models in the Bear River Watershed which spans three states, Utah, Idaho, and Wyoming. The Watershed covers an area 3,300 square miles (8,547 square kilometers) and it is the largest source of water to the Great Salt Lake in Utah.
The Watershed is an interesting one because it has various unique and overlapping available data provided by the three states, the Bear River Commission, national US datasets, and three existing systems models: BRSDM which allocates water based on priority for the upper Bear River Basin, a WEAP model which allocate water on priority, and a WASH model which allocates water to maximum suitable habitat areas in the Lower Bear River. Note that when developers organize their model’s input data into WaMDaM, models become a new source of data. We select a few locations in the Watershed to demonstrate use cases as each location has data from multiple sources: Stewart Dam site in Idaho, Hyrum Reservoir, Bear River Migratory Bird Refuge, and Cache County in Utah which is a major water use area in the Bear River Watershed.
The following presented use cases help users identify and compare two fundamental aspects of water management data: data values with different types and connectivity of scenarios and networks.
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WaMDaM and materials in this GitHub repository are disturbed under a BSD 3-Clause LICENSE. For alternative licensing arrangements, contact Adel M. Abdallah or David E. Rosenberg directly.
WaMDaM and related software development have been developed under funding from several different sources. It was primarily supported by the National Science Foundation CI-Water Project and later from the iUtah Project. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
WaMDaM has been developed at and also additionally funded by the Utah Water Research Lab at Utah State University, Logan Utah during the period of August, 2012-2017. Thanks to Dr. Steven Burian at the Unviversity of Utah, Salt Lake City Utah for hosting Adel Abdallah as a visiting scholar 2014-2017.