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Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100
The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin...
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Published in: | Environmental science and pollution research international 2023-12, Vol.30 (58), p.122230-122244 |
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description | The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios. |
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To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios.</description><identifier>ISSN: 1614-7499</identifier><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-023-30965-z</identifier><identifier>PMID: 37966647</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>algorithms ; Aquatic Pollution ; Arsenic ; Arsenic - analysis ; Atmospheric Protection/Air Quality Control/Air Pollution ; basins ; Climate ; Drinking water ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Exposure ; Groundwater ; human health ; Humans ; Landforms ; Livestock ; Precipitation ; Probability ; Rainy season ; Research Article ; Risk ; Seasonal variations ; Seasons ; soil ; Soil properties ; Temperature ; topography ; Waste Water Technology ; Water analysis ; Water consumption ; Water Management ; Water Pollutants, Chemical - analysis ; Water Pollution Control ; Water sampling ; wet season</subject><ispartof>Environmental science and pollution research international, 2023-12, Vol.30 (58), p.122230-122244</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323z-6bf98f32c05abadb440b5c3ae17b50e7bd9123c3c865a2fef1c66999e6b1ba323</citedby><cites>FETCH-LOGICAL-c323z-6bf98f32c05abadb440b5c3ae17b50e7bd9123c3c865a2fef1c66999e6b1ba323</cites><orcidid>0000-0003-3999-1078</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2902167775/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2902167775?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11668,27903,27904,36039,36040,44342,74641</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37966647$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Binggan</creatorcontrib><creatorcontrib>Yin, Shuhui</creatorcontrib><creatorcontrib>Yu, Jiangping</creatorcontrib><creatorcontrib>Yang, Linsheng</creatorcontrib><creatorcontrib>Wen, Qiqian</creatorcontrib><creatorcontrib>Wang, Ting</creatorcontrib><creatorcontrib>Yuan, Xing</creatorcontrib><title>Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios.</description><subject>algorithms</subject><subject>Aquatic Pollution</subject><subject>Arsenic</subject><subject>Arsenic - analysis</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>basins</subject><subject>Climate</subject><subject>Drinking water</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Exposure</subject><subject>Groundwater</subject><subject>human health</subject><subject>Humans</subject><subject>Landforms</subject><subject>Livestock</subject><subject>Precipitation</subject><subject>Probability</subject><subject>Rainy season</subject><subject>Research Article</subject><subject>Risk</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>soil</subject><subject>Soil properties</subject><subject>Temperature</subject><subject>topography</subject><subject>Waste Water Technology</subject><subject>Water analysis</subject><subject>Water consumption</subject><subject>Water Management</subject><subject>Water Pollutants, Chemical - 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Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Binggan</au><au>Yin, Shuhui</au><au>Yu, Jiangping</au><au>Yang, Linsheng</au><au>Wen, Qiqian</au><au>Wang, Ting</au><au>Yuan, Xing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>30</volume><issue>58</issue><spage>122230</spage><epage>122244</epage><pages>122230-122244</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37966647</pmid><doi>10.1007/s11356-023-30965-z</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-3999-1078</orcidid></addata></record> |
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subjects | algorithms Aquatic Pollution Arsenic Arsenic - analysis Atmospheric Protection/Air Quality Control/Air Pollution basins Climate Drinking water Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring Exposure Groundwater human health Humans Landforms Livestock Precipitation Probability Rainy season Research Article Risk Seasonal variations Seasons soil Soil properties Temperature topography Waste Water Technology Water analysis Water consumption Water Management Water Pollutants, Chemical - analysis Water Pollution Control Water sampling wet season |
title | Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100 |
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