呼吁建立一个统一的数据库来解决美国的暴露差异。

IF 5.8 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Wiley Interdisciplinary Reviews: Water Pub Date : 2025-07-01 Epub Date: 2025-08-05 DOI:10.1002/wat2.70033
Jahred M Liddie, Mona Q Dai, Xindi C Hu, Elsie M Sunderland
{"title":"呼吁建立一个统一的数据库来解决美国的暴露差异。","authors":"Jahred M Liddie, Mona Q Dai, Xindi C Hu, Elsie M Sunderland","doi":"10.1002/wat2.70033","DOIUrl":null,"url":null,"abstract":"<p><p>United States (US) drinking water quality is federally regulated under the Safe Drinking Water Act (SDWA) with the goal of ensuring clean, safe drinking water for the entire population. However, siting of pollution point sources in historically redlined communities with lower socioeconomic status and higher proportions of people of color adversely affects drinking water quality. Prior studies show higher concentrations of a suite of contaminants in small PWS, PWS in rural areas, and PWS serving greater proportions of people of color. Drinking water crises in Flint, Michigan (ca. 2014) and Jackson, Mississippi (ca. 2022) are visible examples of a chronic and widespread pattern of elevated exposures in certain communities. Comprehensive state monitoring data produced as part of compliance with the SDWA are presently not accessible to the public. Further, metadata on water treatment technology and sociodemographic composition of customers served are lacking. Here we argue that improving data transparency is essential for spearheading action to address exposure disparities. We propose the creation of a unified national public database on water quality, treatment technology, and customer metadata with accompanying visualizations for the public that leverage new AI tools. Public action to address exposure disparities gained momentum over the last 30 years but was halted abruptly in 2025. Therefore, new partnerships are urgently needed to continue the pursuit of environmental justice.</p>","PeriodicalId":23774,"journal":{"name":"Wiley Interdisciplinary Reviews: Water","volume":"12 4","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12392122/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Call for a Unified Database to Address Exposure Disparities in the United States.\",\"authors\":\"Jahred M Liddie, Mona Q Dai, Xindi C Hu, Elsie M Sunderland\",\"doi\":\"10.1002/wat2.70033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>United States (US) drinking water quality is federally regulated under the Safe Drinking Water Act (SDWA) with the goal of ensuring clean, safe drinking water for the entire population. However, siting of pollution point sources in historically redlined communities with lower socioeconomic status and higher proportions of people of color adversely affects drinking water quality. Prior studies show higher concentrations of a suite of contaminants in small PWS, PWS in rural areas, and PWS serving greater proportions of people of color. Drinking water crises in Flint, Michigan (ca. 2014) and Jackson, Mississippi (ca. 2022) are visible examples of a chronic and widespread pattern of elevated exposures in certain communities. Comprehensive state monitoring data produced as part of compliance with the SDWA are presently not accessible to the public. Further, metadata on water treatment technology and sociodemographic composition of customers served are lacking. Here we argue that improving data transparency is essential for spearheading action to address exposure disparities. We propose the creation of a unified national public database on water quality, treatment technology, and customer metadata with accompanying visualizations for the public that leverage new AI tools. Public action to address exposure disparities gained momentum over the last 30 years but was halted abruptly in 2025. Therefore, new partnerships are urgently needed to continue the pursuit of environmental justice.</p>\",\"PeriodicalId\":23774,\"journal\":{\"name\":\"Wiley Interdisciplinary Reviews: Water\",\"volume\":\"12 4\",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12392122/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiley Interdisciplinary Reviews: Water\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1002/wat2.70033\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/5 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley Interdisciplinary Reviews: Water","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1002/wat2.70033","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

美国的饮用水质量是根据《安全饮用水法》(SDWA)进行联邦监管的,其目标是确保所有人口获得清洁、安全的饮用水。然而,污染点源选址在历史上社会经济地位较低、有色人种比例较高的红线社区,对饮用水质量产生不利影响。先前的研究表明,在小型PWS、农村地区的PWS以及为更多有色人种服务的PWS中,一系列污染物的浓度更高。密歇根州弗林特市(约2014年)和密西西比州杰克逊市(约2022年)的饮用水危机是某些社区长期和广泛的高暴露模式的明显例子。作为遵守SDWA的一部分而产生的全面状态监测数据目前无法向公众提供。此外,缺乏有关水处理技术和所服务客户的社会人口构成的元数据。在这里,我们认为提高数据透明度对于解决暴露差异的先锋行动至关重要。我们建议建立一个关于水质、处理技术和客户元数据的统一的国家公共数据库,并利用新的人工智能工具为公众提供相应的可视化。过去30年来,解决暴露差异的公共行动势头强劲,但在2025年突然停止。因此,迫切需要新的伙伴关系来继续追求环境正义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Call for a Unified Database to Address Exposure Disparities in the United States.

United States (US) drinking water quality is federally regulated under the Safe Drinking Water Act (SDWA) with the goal of ensuring clean, safe drinking water for the entire population. However, siting of pollution point sources in historically redlined communities with lower socioeconomic status and higher proportions of people of color adversely affects drinking water quality. Prior studies show higher concentrations of a suite of contaminants in small PWS, PWS in rural areas, and PWS serving greater proportions of people of color. Drinking water crises in Flint, Michigan (ca. 2014) and Jackson, Mississippi (ca. 2022) are visible examples of a chronic and widespread pattern of elevated exposures in certain communities. Comprehensive state monitoring data produced as part of compliance with the SDWA are presently not accessible to the public. Further, metadata on water treatment technology and sociodemographic composition of customers served are lacking. Here we argue that improving data transparency is essential for spearheading action to address exposure disparities. We propose the creation of a unified national public database on water quality, treatment technology, and customer metadata with accompanying visualizations for the public that leverage new AI tools. Public action to address exposure disparities gained momentum over the last 30 years but was halted abruptly in 2025. Therefore, new partnerships are urgently needed to continue the pursuit of environmental justice.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Wiley Interdisciplinary Reviews: Water
Wiley Interdisciplinary Reviews: Water Environmental Science-Ecology
CiteScore
16.60
自引率
3.70%
发文量
56
期刊介绍: The WIREs series is truly unique, blending the best aspects of encyclopedic reference works and review journals into a dynamic online format. These remarkable resources foster a research culture that transcends disciplinary boundaries, all while upholding the utmost scientific and presentation excellence. However, they go beyond traditional publications and are, in essence, ever-evolving databases of the latest cutting-edge reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信