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Extreme rainfall disproportionately impacts E. coli concentrations in Texas recreational waterbodies
Waterborne pathogen contamination poses a significant threat to water resources globally and the exposure to waterborne pathogen contamination is widely recognized as unevenly distributed. Extreme weather events could exacerbate inequalities in waterborne disease as climate variability continues to...
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Published in: | The Science of the total environment 2025-01, Vol.958, p.178062, Article 178062 |
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description | Waterborne pathogen contamination poses a significant threat to water resources globally and the exposure to waterborne pathogen contamination is widely recognized as unevenly distributed. Extreme weather events could exacerbate inequalities in waterborne disease as climate variability continues to escalate. However, there is a limited understanding of how extreme rainfall affects E. coli levels and whether disadvantaged communities experience disproportionate impacts from extreme rainfall on E. coli contamination. Leveraging 21 years of E. coli data along with climate data and watershed characteristics, this study employed Multiscale Geographically Weighted Regression (MGWR) models to quantify the seasonal and spatial impacts of extreme rainfall on E. coli concentrations in Texas. Our results indicate that during dry seasons, regions in northern and eastern Texas exhibit significantly higher impacts of extreme rainfall on E. coli concentrations, which is associated with high proportions of pastures, wetlands, and silt. However, during wet seasons, western and southern regions experience slightly higher extreme rainfall induced E. coli contamination risks likely due to significantly increased runoff from the rainfall together with higher slopes and clay-rich soil. In addition, we found census tracts with higher proportions of Black and Latino populations experience greater extreme rainfall impacts on E. coli levels in different months. Furthermore, an analysis of historical trends in extreme rainfall intensity indicates that climate variability could further amplify the existing inequalities in exposure to E. coli contamination. Our findings highlight the disproportionate impacts of extreme rainfall induced E. coli contamination on disadvantaged communities and emphasize the critical need for targeted intervention strategies to mitigate these risks effectively and equitably in Texas.
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•Extreme rainfall significantly increases E. coli concentrations in Texas.•Impacts of extreme rainfall on E. coli exhibit spatial-temporal homogeneity.•Extreme rainfall impacts on E. coli are higher during dry seasons.•Disadvantaged communities face greater impacts from extreme rainfall-induced E. coli.•Climate variability amplifies inequalities in exposure to E. coli contamination. |
doi_str_mv | 10.1016/j.scitotenv.2024.178062 |
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[Display omitted]
•Extreme rainfall significantly increases E. coli concentrations in Texas.•Impacts of extreme rainfall on E. coli exhibit spatial-temporal homogeneity.•Extreme rainfall impacts on E. coli are higher during dry seasons.•Disadvantaged communities face greater impacts from extreme rainfall-induced E. coli.•Climate variability amplifies inequalities in exposure to E. coli contamination.</description><identifier>ISSN: 0048-9697</identifier><identifier>ISSN: 1879-1026</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2024.178062</identifier><identifier>PMID: 39674162</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Climate change ; Environmental injustice ; Environmental Monitoring ; Escherichia coli ; Escherichia coli (E. coli) ; Extreme rainfall ; Multiscale Geographically Weighted Regression (MGWR) ; Rain ; Seasons ; Texas ; Water Microbiology</subject><ispartof>The Science of the total environment, 2025-01, Vol.958, p.178062, Article 178062</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1622-e930ab4ed967be9f584c7cbb0c81c62aa4f64b543eafb92f5155a655ec2b686d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39674162$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Xiaofeng</creatorcontrib><creatorcontrib>Zuo, Chen</creatorcontrib><creatorcontrib>Guan, Jianxing</creatorcontrib><creatorcontrib>Ma, Yueying</creatorcontrib><creatorcontrib>Liu, Yiyi</creatorcontrib><creatorcontrib>Zhao, Gang</creatorcontrib><creatorcontrib>Wang, Runzi</creatorcontrib><title>Extreme rainfall disproportionately impacts E. coli concentrations in Texas recreational waterbodies</title><title>The Science of the total environment</title><addtitle>Sci Total Environ</addtitle><description>Waterborne pathogen contamination poses a significant threat to water resources globally and the exposure to waterborne pathogen contamination is widely recognized as unevenly distributed. Extreme weather events could exacerbate inequalities in waterborne disease as climate variability continues to escalate. However, there is a limited understanding of how extreme rainfall affects E. coli levels and whether disadvantaged communities experience disproportionate impacts from extreme rainfall on E. coli contamination. Leveraging 21 years of E. coli data along with climate data and watershed characteristics, this study employed Multiscale Geographically Weighted Regression (MGWR) models to quantify the seasonal and spatial impacts of extreme rainfall on E. coli concentrations in Texas. Our results indicate that during dry seasons, regions in northern and eastern Texas exhibit significantly higher impacts of extreme rainfall on E. coli concentrations, which is associated with high proportions of pastures, wetlands, and silt. However, during wet seasons, western and southern regions experience slightly higher extreme rainfall induced E. coli contamination risks likely due to significantly increased runoff from the rainfall together with higher slopes and clay-rich soil. In addition, we found census tracts with higher proportions of Black and Latino populations experience greater extreme rainfall impacts on E. coli levels in different months. Furthermore, an analysis of historical trends in extreme rainfall intensity indicates that climate variability could further amplify the existing inequalities in exposure to E. coli contamination. Our findings highlight the disproportionate impacts of extreme rainfall induced E. coli contamination on disadvantaged communities and emphasize the critical need for targeted intervention strategies to mitigate these risks effectively and equitably in Texas.
[Display omitted]
•Extreme rainfall significantly increases E. coli concentrations in Texas.•Impacts of extreme rainfall on E. coli exhibit spatial-temporal homogeneity.•Extreme rainfall impacts on E. coli are higher during dry seasons.•Disadvantaged communities face greater impacts from extreme rainfall-induced E. coli.•Climate variability amplifies inequalities in exposure to E. coli contamination.</description><subject>Climate change</subject><subject>Environmental injustice</subject><subject>Environmental Monitoring</subject><subject>Escherichia coli</subject><subject>Escherichia coli (E. coli)</subject><subject>Extreme rainfall</subject><subject>Multiscale Geographically Weighted Regression (MGWR)</subject><subject>Rain</subject><subject>Seasons</subject><subject>Texas</subject><subject>Water Microbiology</subject><issn>0048-9697</issn><issn>1879-1026</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNqFkElPBCEQhYnR6Lj8BeXopVugWbqPxoxLYuJFzwTo6oRJdzMC4_LvZRz1Kociqbz3qupD6IKSmhIqr1Z1cj6HDPNbzQjjNVUtkWwPLWiruooSJvfRghDeVp3s1BE6TmlFylMtPURHTScVp5ItUL_8yBEmwNH4eTDjiHuf1jGsQ8w-zCbD-In9tDYuJ7yssQujL2V2MOdotpKE_Yyf4cMkHMFF-G6aEb8Xb7Sh95BO0UGJTnD285-gl9vl88199fh093Bz_Vi5sguroGuIsRz6sp2FbhAtd8pZS1xLnWTG8EFyK3gDZrAdGwQVwkghwDErW9k3J-hyl1sOeN1AynryycE4mhnCJumGcqmUYEIWqdpJXQwpRRj0OvrJxE9Nid4i1iv9h1hvEesd4uI8_xmysRP0f75fpkVwvRNAOfXNQ9wGQSHW-wIo6z74f4d8AU1WlFs</recordid><startdate>20250101</startdate><enddate>20250101</enddate><creator>Liu, Xiaofeng</creator><creator>Zuo, Chen</creator><creator>Guan, Jianxing</creator><creator>Ma, Yueying</creator><creator>Liu, Yiyi</creator><creator>Zhao, Gang</creator><creator>Wang, Runzi</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20250101</creationdate><title>Extreme rainfall disproportionately impacts E. coli concentrations in Texas recreational waterbodies</title><author>Liu, Xiaofeng ; Zuo, Chen ; Guan, Jianxing ; Ma, Yueying ; Liu, Yiyi ; Zhao, Gang ; Wang, Runzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1622-e930ab4ed967be9f584c7cbb0c81c62aa4f64b543eafb92f5155a655ec2b686d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Climate change</topic><topic>Environmental injustice</topic><topic>Environmental Monitoring</topic><topic>Escherichia coli</topic><topic>Escherichia coli (E. coli)</topic><topic>Extreme rainfall</topic><topic>Multiscale Geographically Weighted Regression (MGWR)</topic><topic>Rain</topic><topic>Seasons</topic><topic>Texas</topic><topic>Water Microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xiaofeng</creatorcontrib><creatorcontrib>Zuo, Chen</creatorcontrib><creatorcontrib>Guan, Jianxing</creatorcontrib><creatorcontrib>Ma, Yueying</creatorcontrib><creatorcontrib>Liu, Yiyi</creatorcontrib><creatorcontrib>Zhao, Gang</creatorcontrib><creatorcontrib>Wang, Runzi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiaofeng</au><au>Zuo, Chen</au><au>Guan, Jianxing</au><au>Ma, Yueying</au><au>Liu, Yiyi</au><au>Zhao, Gang</au><au>Wang, Runzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extreme rainfall disproportionately impacts E. coli concentrations in Texas recreational waterbodies</atitle><jtitle>The Science of the total environment</jtitle><addtitle>Sci Total Environ</addtitle><date>2025-01-01</date><risdate>2025</risdate><volume>958</volume><spage>178062</spage><pages>178062-</pages><artnum>178062</artnum><issn>0048-9697</issn><issn>1879-1026</issn><eissn>1879-1026</eissn><abstract>Waterborne pathogen contamination poses a significant threat to water resources globally and the exposure to waterborne pathogen contamination is widely recognized as unevenly distributed. Extreme weather events could exacerbate inequalities in waterborne disease as climate variability continues to escalate. However, there is a limited understanding of how extreme rainfall affects E. coli levels and whether disadvantaged communities experience disproportionate impacts from extreme rainfall on E. coli contamination. Leveraging 21 years of E. coli data along with climate data and watershed characteristics, this study employed Multiscale Geographically Weighted Regression (MGWR) models to quantify the seasonal and spatial impacts of extreme rainfall on E. coli concentrations in Texas. Our results indicate that during dry seasons, regions in northern and eastern Texas exhibit significantly higher impacts of extreme rainfall on E. coli concentrations, which is associated with high proportions of pastures, wetlands, and silt. However, during wet seasons, western and southern regions experience slightly higher extreme rainfall induced E. coli contamination risks likely due to significantly increased runoff from the rainfall together with higher slopes and clay-rich soil. In addition, we found census tracts with higher proportions of Black and Latino populations experience greater extreme rainfall impacts on E. coli levels in different months. Furthermore, an analysis of historical trends in extreme rainfall intensity indicates that climate variability could further amplify the existing inequalities in exposure to E. coli contamination. Our findings highlight the disproportionate impacts of extreme rainfall induced E. coli contamination on disadvantaged communities and emphasize the critical need for targeted intervention strategies to mitigate these risks effectively and equitably in Texas.
[Display omitted]
•Extreme rainfall significantly increases E. coli concentrations in Texas.•Impacts of extreme rainfall on E. coli exhibit spatial-temporal homogeneity.•Extreme rainfall impacts on E. coli are higher during dry seasons.•Disadvantaged communities face greater impacts from extreme rainfall-induced E. coli.•Climate variability amplifies inequalities in exposure to E. coli contamination.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>39674162</pmid><doi>10.1016/j.scitotenv.2024.178062</doi></addata></record> |
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subjects | Climate change Environmental injustice Environmental Monitoring Escherichia coli Escherichia coli (E. coli) Extreme rainfall Multiscale Geographically Weighted Regression (MGWR) Rain Seasons Texas Water Microbiology |
title | Extreme rainfall disproportionately impacts E. coli concentrations in Texas recreational waterbodies |
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