• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国饮用水水质时空变化的驱动因素。

Drivers of Spatiotemporal Variability in Drinking Water Quality in the United States.

机构信息

Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, Austin, Texas 78758, United States.

Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.

出版信息

Environ Sci Technol. 2022 Sep 20;56(18):12965-12974. doi: 10.1021/acs.est.1c08697. Epub 2022 Aug 31.

DOI:10.1021/acs.est.1c08697
PMID:36044676
Abstract

Approximately 10% of community water systems in the United States experience a health-based violation of drinking water quality; however, recently allocated funds for improving United States water infrastructure ($50 billion) provide an opportunity to address these issues. The objective of this study was to examine environmental, operational, and sociodemographic drivers of spatiotemporal variability in drinking water quality violations using geospatial analysis and data analytics. Random forest modeling was used to evaluate drivers of these violations, including environmental (e.g., landcover, climate, geology), operational (e.g., water source, system size), and sociodemographic (social vulnerability, rurality) drivers. Results of random forest modeling show that drivers of violations vary by violation type. For example, arsenic and radionuclide violations are found mostly in the Southwest and Southcentral United States related to semiarid climate, whereas disinfection byproduct rule violations are found primarily in Southcentral United States related to system operations. Health-based violations are found primarily in small systems in rural and suburban settings. Understanding the drivers of water quality violations can help develop optimal approaches for addressing these issues to increase compliance in community water systems, particularly small systems in rural areas across the United States.

摘要

大约 10%的美国社区供水系统存在基于健康的饮用水水质违规问题;然而,最近为改善美国水基础设施而分配的资金(500 亿美元)为解决这些问题提供了机会。本研究的目的是利用地理空间分析和数据分析来研究饮用水水质违规行为的时空变化的环境、运行和社会人口统计学驱动因素。随机森林模型用于评估这些违规行为的驱动因素,包括环境(如土地覆盖、气候、地质)、运行(如水源、系统规模)和社会人口统计学(社会脆弱性、农村性)驱动因素。随机森林模型的结果表明,违规行为的驱动因素因违规行为类型而异。例如,砷和放射性核素违规行为主要发生在美国西南部和中南部,与半干旱气候有关,而消毒副产物规则违规行为主要发生在美国中南部,与系统运行有关。基于健康的违规行为主要发生在农村和郊区的小型系统中。了解水质违规行为的驱动因素可以帮助制定解决这些问题的最佳方法,以提高社区供水系统的合规性,特别是美国农村地区的小型系统。

相似文献

1
Drivers of Spatiotemporal Variability in Drinking Water Quality in the United States.美国饮用水水质时空变化的驱动因素。
Environ Sci Technol. 2022 Sep 20;56(18):12965-12974. doi: 10.1021/acs.est.1c08697. Epub 2022 Aug 31.
2
National trends in drinking water quality violations.全国饮用水水质违规情况趋势。
Proc Natl Acad Sci U S A. 2018 Feb 27;115(9):2078-2083. doi: 10.1073/pnas.1719805115. Epub 2018 Feb 12.
3
Wildfires can increase regulated nitrate, arsenic, and disinfection byproduct violations and concentrations in public drinking water supplies.野火会增加公共饮用水供应中受管制的硝酸盐、砷和消毒副产物的违规和浓度。
Sci Total Environ. 2022 Jan 15;804:149890. doi: 10.1016/j.scitotenv.2021.149890. Epub 2021 Aug 27.
4
Patterns and predictions of drinking water nitrate violations across the conterminous United States.美国本土饮用水硝酸盐违规的模式和预测。
Sci Total Environ. 2020 Jun 20;722:137661. doi: 10.1016/j.scitotenv.2020.137661. Epub 2020 Mar 5.
5
Arsenic Drinking Water Violations Decreased across the United States Following Revision of the Maximum Contaminant Level.砷饮用水违规在美国各地减少,因为最大污染物水平被修订。
Environ Sci Technol. 2019 Oct 1;53(19):11478-11485. doi: 10.1021/acs.est.9b02358. Epub 2019 Sep 10.
6
Approximating Community Water System Service Areas to Explore the Demographics of SDWA Compliance in Virginia.近似社区供水系统服务区,以探索弗吉尼亚州 SDWA 合规的人口统计学特征。
Int J Environ Res Public Health. 2021 Dec 16;18(24):13254. doi: 10.3390/ijerph182413254.
7
Rural and Urban Differences in Air Quality, 2008-2012, and Community Drinking Water Quality, 2010-2015 - United States.2008 - 2012年美国城乡空气质量差异以及2010 - 2015年社区饮用水质量差异
MMWR Surveill Summ. 2017 Jun 23;66(13):1-10. doi: 10.15585/mmwr.ss6613a1.
8
Detecting community response to water quality violations using bottled water sales.利用瓶装水销售情况检测社区对水质违规的反应。
Proc Natl Acad Sci U S A. 2019 Oct 15;116(42):20917-20922. doi: 10.1073/pnas.1905385116. Epub 2019 Sep 30.
9
Drinking Water Violations and Environmental Justice in the United States, 2011-2015.美国 2011-2015 年饮用水违规和环境正义状况
Am J Public Health. 2018 Oct;108(10):1401-1407. doi: 10.2105/AJPH.2018.304621. Epub 2018 Aug 23.
10
Land cover and community water system characteristics as predictors of Safe Drinking Water Act violations in Central Appalachia, USA.土地覆盖和社区供水系统特征对美国中阿巴拉契亚地区安全饮用水法案违规的预测。
Sci Total Environ. 2023 Feb 1;858(Pt 2):159726. doi: 10.1016/j.scitotenv.2022.159726. Epub 2022 Oct 25.

引用本文的文献

1
Intensified atomic utilization efficiency of single-atom catalysts for nitrate conversion via electrified nanoporous membrane.通过带电纳米多孔膜提高单原子催化剂用于硝酸盐转化的原子利用效率。
Sci Adv. 2025 Jul 11;11(28):eads6943. doi: 10.1126/sciadv.ads6943. Epub 2025 Jul 9.
2
Sociodemographic Disparities in Exposures to Inorganic Contaminants in United States Public Water Systems.美国公共供水系统中无机污染物暴露的社会人口统计学差异
Environ Health Perspect. 2025 Jun;133(6):67003. doi: 10.1289/EHP14793. Epub 2025 Jun 2.
3
Home Environment as a Therapeutic Target for Prevention and Treatment of Chronic Diseases: Delivering Restorative Living Spaces, Patient Education and Self-Care by Bridging Biophilic Design, E-Commerce and Digital Health Technologies.
家庭环境作为慢性病防治的治疗靶点:通过融合亲生物设计、电子商务和数字健康技术,提供恢复性居住空间、患者教育和自我护理。
Int J Environ Res Public Health. 2025 Feb 5;22(2):225. doi: 10.3390/ijerph22020225.
4
An ensemble machine learning model to uncover potential sites of hazardous waste illegal dumping based on limited supervision experience.一种基于有限监督经验来发现危险废物非法倾倒潜在地点的集成机器学习模型。
Fundam Res. 2023 Jul 14;4(4):972-978. doi: 10.1016/j.fmre.2023.06.010. eCollection 2024 Jul.
5
Spatiotemporal drivers of urban water pollution: Assessment of 102 cities across the Yangtze River Basin.城市水污染的时空驱动因素:长江流域102个城市的评估
Environ Sci Ecotechnol. 2024 Mar 11;20:100412. doi: 10.1016/j.ese.2024.100412. eCollection 2024 Jul.
6
Prioritizing water availability study settings to address geogenic contaminants and related societal factors.优先考虑水资源可利用性研究设置,以解决地球成因污染物和相关社会因素。
Environ Monit Assess. 2024 Feb 24;196(3):303. doi: 10.1007/s10661-024-12362-2.
7
Speciation of inorganic arsenic with mixed mode HPLC-ESI-MS and Arsenite Oxidation.无机砷的形态分析与混合模式 HPLC-ESI-MS 及亚砷酸盐氧化。
Talanta. 2023 Jul 1;259:124487. doi: 10.1016/j.talanta.2023.124487. Epub 2023 Mar 31.