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Fix Blocks Remove Social Vulnerability Section
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WeathermanTrent authored Sep 1, 2023
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36 changes: 11 additions & 25 deletions discoveries/houston-aod.discoveries.mdx
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### Socioeconomic Vulnerability

Figure 1 illustrates the decadally-averaged aerosol optical depth (AOD) from 2000-2009 and 2010-2019 with socioeconomic vulnerability. Individuals of a less privileged socioeconomic status (SES) are at higher risk for complications from air pollution than those of a higher status. However, one of the primary reasons why those of a lower SES are more susceptible to complications are due to these residents being located in and around industrial areas.
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<Figure>
<Chart
dataPath={new URL('./aod_socioeconomics.csv', import.meta.url).href}
dateFormat="%Y-%m"
idKey='p_type'
xKey='Date'
yKey='value'
yAxisLabel='AOD'
/>
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Figure 1: Socioeconomic status plots showing the change in AOD values over the last 20 years.
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### Implications for Aerosol Optical Depth
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### Aerosol Optical Depth Compared to Houston Urbanization

Though the amount of aerosols emitted in the Houston Metro have decreased over the last 20 years, isolated areas, especially in western Harris County, indicate an increase in AOD where the greatest urbanization has occurred. In these areas, an increase in anthropogenic emissions could be to blame for the increase in AOD. High population densities and an increase in industrial activities are a result of increased energy consumption. The mentioned reasons result in higher emissions of pollutants. Areas that have not transformed as fast as the areas mentioned show a subtle decrease in AOD.


The overall decrease in AOD is a result of policy change from the EPA. The EPA has established the National Ambient Air Quality Standards (NAAQS) to regulate emissions to better protect public health. The NAAQS is established under the Clean Air Act and regulates pollutants such as carbon monoxide, sulfur dioxide among others.Figure 3 shows the calculated difference of AOD from the two decades (2000-2009) & (2010-2019) along with the change in Urbanization from the entire time period in the Houston metro. Notice how the areas with the most significant difference experienced the most urbanization compared to the entire area.
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datasetId='houston-aod-diff'
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center={[-95.268361, 29.231816]}
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