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A Spatiotemporal Analysis of Inequit...

Kelly, Brenna Claire,

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A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk // Brenna Claire Kelly.
Author:	Kelly, Brenna Claire,
Description:	1 electronic resource (62 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-04.
Contained By:	Masters Abstracts International85-04.
Subject:	Geography. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30572266
ISBN:	9798380590198

A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk /
Kelly, Brenna Claire,

A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk /Brenna Claire Kelly. - 1 electronic resource (62 pages)

Source: Masters Abstracts International, Volume: 85-04.

Industrial pollution is released into surface water at a large scale in the United States. The extent to which the presence of industrial surface water pollution impacts racial and ethnic minorities and those living in poverty has not been quantified. To identify pollution patterns and quantify inequities in potential exposure, a spatiotemporal Gamma hurdle model was implemented. Both presence of industrial pollution and risk potential from contamination were modeled against population characteristics at the county level from 2011-2020. During the study period, more than 200 million U.S. residents lived in a county with risk potential from contamination. Results showed credible positive associations between most non-White racial groups and odds of having risk potential, and the percentage of Black/African American race was positively associated with a higher amount of risk potential. Poverty and race had positive but less credible associations with risk potential. This first-order analysis is the first national study of the Environmental Protection Agency's risk potential for industrial water pollution. Important differentials in potential exposure were identified, and high-risk areas should be assessed for health endpoints. Future work may consider modeling realized exposure at a finer scale, considering specific chemicals and chemical combinations in conjunction with health endpoints.

English

ISBN: 9798380590198Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Industrial pollution

A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk /
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245 1 2 $a A Spatiotemporal Analysis of Inequity in Industry-Source Surface Water Toxin Exposure Risk / $c Brenna Claire Kelly.
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300 $a 1 electronic resource (62 pages)
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500 $a Source: Masters Abstracts International, Volume: 85-04.
500 $a Advisors: Brewer, Simon Christopher Committee members: Medina, Richard Matthew; Bakian, Amanda Virginie.
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520 $a Industrial pollution is released into surface water at a large scale in the United States. The extent to which the presence of industrial surface water pollution impacts racial and ethnic minorities and those living in poverty has not been quantified. To identify pollution patterns and quantify inequities in potential exposure, a spatiotemporal Gamma hurdle model was implemented. Both presence of industrial pollution and risk potential from contamination were modeled against population characteristics at the county level from 2011-2020. During the study period, more than 200 million U.S. residents lived in a county with risk potential from contamination. Results showed credible positive associations between most non-White racial groups and odds of having risk potential, and the percentage of Black/African American race was positively associated with a higher amount of risk potential. Poverty and race had positive but less credible associations with risk potential. This first-order analysis is the first national study of the Environmental Protection Agency's risk potential for industrial water pollution. Important differentials in potential exposure were identified, and high-risk areas should be assessed for health endpoints. Future work may consider modeling realized exposure at a finer scale, considering specific chemicals and chemical combinations in conjunction with health endpoints.
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590 $a School code: 0240
650 4 $a Geography. $3 524010
650 4 $a Environmental law. $3 560666
653 $a Industrial pollution
653 $a Ethnic minorities
653 $a Poverty
653 $a Race
690 $a 0366
690 $a 0439
710 2 $a The University of Utah. $b Geography. $e degree granting institution. $3 3814528
720 1 $a Brewer, Simon Christopher $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-04.
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791 $a M.S.
792 $a 2023
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