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| DOI | 10.1126/science.aba1510 |
| Global threat of arsenic in groundwater | |
| Podgorski J.; Berg M. | |
| 发表日期 | 2020 |
| ISSN | 0036-8075 |
| 起始页码 | 845 |
| 结束页码 | 850 |
| 卷号 | 368期号:6493 |
| 英文摘要 | Naturally occurring arsenic in groundwater affects millions of people worldwide. We created a global prediction map of groundwater arsenic exceeding 10 micrograms per liter using a random forest machine-learning model based on 11 geospatial environmental parameters and more than 50,000 aggregated data points of measured groundwater arsenic concentration. Our global prediction map includes known arsenic-affected areas and previously undocumented areas of concern. By combining the global arsenic prediction model with household groundwater-usage statistics, we estimate that 94 million to 220 million people are potentially exposed to high arsenic concentrations in groundwater, the vast majority (94%) being in Asia. Because groundwater is increasingly used to support growing populations and buffer against water scarcity due to changing climate, this work is important to raise awareness, identify areas for safe wells, and help prioritize testing. © 2020 American Association for the Advancement of Science. All rights reserved. |
| 关键词 | arsenicconcentration (composition)global perspectivegroundwater pollutionhealth impactpollution exposurepredictionresource scarcityAsiaarsenicdrinking waterground waterarsenic poisoningchemistryclimate changeenvironmental exposurehumanmachine learningtheoretical modelArsenicArsenic PoisoningClimate ChangeDrinking WaterEnvironmental ExposureGroundwaterHumansMachine LearningModels, Theoretical |
| 语种 | 英语 |
| 来源机构 | Science |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/133486 |
| 推荐引用方式 GB/T 7714 | Podgorski J.,Berg M.. Global threat of arsenic in groundwater[J]. Science,2020,368(6493). |
| APA | Podgorski J.,&Berg M..(2020).Global threat of arsenic in groundwater.,368(6493). |
| MLA | Podgorski J.,et al."Global threat of arsenic in groundwater".368.6493(2020). |
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