{"title":"实现清洁用水:管理人类饮用的砷污染地下水的风险","authors":"Abhijit Mukherjee , Soumyajit Sarkar , Poulomee Coomar , Prosun Bhattacharya","doi":"10.1016/j.coesh.2023.100509","DOIUrl":null,"url":null,"abstract":"<div><p>The human health risk associated with the ingestion of arsenic (As) contaminated groundwater as drinking water has been highlighted as the “largest mass-poisoning in human history.” Recently, secondary As exposure pathways have been identified through food and cattle products. Broad-based epidemiological estimation of the populations at risk is only available through statistical calculations, however, proper management needs community-level risk identification. Management strategies involve detection and monitoring, predictions, mitigations by standard and innovative technologies, and nature-based solutions for community drinking water supplies. Impacts of recent technological advancement in terms of real-time sensors and predictive modeling have outlined potential future possibilities. However, successful management would need to explore the nexus between 3-D contaminant occurrence over time, socio-economy, policy, and human behavior in delineating sustainable, clean water sources for sustainable development.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"36 ","pages":"Article 100509"},"PeriodicalIF":6.7000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards clean water: Managing risk of arsenic-contaminated groundwater for human consumption\",\"authors\":\"Abhijit Mukherjee , Soumyajit Sarkar , Poulomee Coomar , Prosun Bhattacharya\",\"doi\":\"10.1016/j.coesh.2023.100509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The human health risk associated with the ingestion of arsenic (As) contaminated groundwater as drinking water has been highlighted as the “largest mass-poisoning in human history.” Recently, secondary As exposure pathways have been identified through food and cattle products. Broad-based epidemiological estimation of the populations at risk is only available through statistical calculations, however, proper management needs community-level risk identification. Management strategies involve detection and monitoring, predictions, mitigations by standard and innovative technologies, and nature-based solutions for community drinking water supplies. Impacts of recent technological advancement in terms of real-time sensors and predictive modeling have outlined potential future possibilities. However, successful management would need to explore the nexus between 3-D contaminant occurrence over time, socio-economy, policy, and human behavior in delineating sustainable, clean water sources for sustainable development.</p></div>\",\"PeriodicalId\":52296,\"journal\":{\"name\":\"Current Opinion in Environmental Science and Health\",\"volume\":\"36 \",\"pages\":\"Article 100509\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2023-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Environmental Science and Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468584423000697\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Environmental Science and Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468584423000697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Towards clean water: Managing risk of arsenic-contaminated groundwater for human consumption
The human health risk associated with the ingestion of arsenic (As) contaminated groundwater as drinking water has been highlighted as the “largest mass-poisoning in human history.” Recently, secondary As exposure pathways have been identified through food and cattle products. Broad-based epidemiological estimation of the populations at risk is only available through statistical calculations, however, proper management needs community-level risk identification. Management strategies involve detection and monitoring, predictions, mitigations by standard and innovative technologies, and nature-based solutions for community drinking water supplies. Impacts of recent technological advancement in terms of real-time sensors and predictive modeling have outlined potential future possibilities. However, successful management would need to explore the nexus between 3-D contaminant occurrence over time, socio-economy, policy, and human behavior in delineating sustainable, clean water sources for sustainable development.