Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12403-019-00335-7 |
Health-Risk Assessment of Arsenic and Groundwater Quality Classification Using Random Forest in the Yanchi Region of Northwest China | |
Wu, Chu; Fang, Chen; Wu, Xiong; Zhu, Ge | |
通讯作者 | Wu, X |
来源期刊 | EXPOSURE AND HEALTH
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ISSN | 2451-9766 |
EISSN | 2451-9685 |
出版年 | 2020 |
卷号 | 12期号:4页码:761-774 |
英文摘要 | High-arsenic (As) groundwater was first discovered in the Yanchi region, Northwest China, which is an arid or semiarid area, and the groundwater quality seriously affects the health of local residents. A comprehensive understanding of the spatiotemporal distribution characteristics, water quality, and health risk of high-As groundwater is indispensable for the sustainable utilization of groundwater sources and resident health. Seventy-nine groundwater samples were collected from different aquifers and seasons. The hazard quotient (HQ) and carcinogenic risk (CR) of As for adults and children were assessed. Moreover, the effects of groundwater sampling site and seasonal change on As concentration were investigated. Then, the random forest method was used to evaluate the importance of the indicators and the influence of these important indicators on groundwater classification. Thirty-three percent of the groundwater samples had HQ values > 1, and the CR values of all groundwater > 1.00 x 10(-6) for children, representing a serious health risk. Twenty-one percent of the groundwater samples had health risk for adult. High-As groundwater is present at depths less than 60 m, and groundwater As concentrations are slightly affected by seasonal changes. The random forest shows that the most important indicators that affect groundwater quality are Na, TDS, TH, and F, and the least important is As. Furthermore, the optimal set of indicators contained all four of the most important indicators obtained by the random forest model, which achieved a classification accuracy of 88.21% for groundwater quality. |
英文关键词 | High arsenic Health risk Random forest Groundwater quality |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000589075100016 |
WOS关键词 | DRINKING-WATER ; SHALLOW GROUNDWATER ; WEST-BENGAL ; CONTAMINATION ; MACHINE ; SYSTEM ; BASIN ; PLAIN ; HYDROGEOCHEMISTRY ; IDENTIFICATION |
WOS类目 | Water Resources |
WOS研究方向 | Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/327486 |
作者单位 | [Wu, Chu; Wu, Xiong; Zhu, Ge] China Univ Geosci, Sch Water Resources & Environm, Beijing 100083, Peoples R China; [Fang, Chen] Florida Int Univ, Ctr Adv Technol & Educ CATE, Miami, FL 33174 USA |
推荐引用方式 GB/T 7714 | Wu, Chu,Fang, Chen,Wu, Xiong,et al. Health-Risk Assessment of Arsenic and Groundwater Quality Classification Using Random Forest in the Yanchi Region of Northwest China[J],2020,12(4):761-774. |
APA | Wu, Chu,Fang, Chen,Wu, Xiong,&Zhu, Ge.(2020).Health-Risk Assessment of Arsenic and Groundwater Quality Classification Using Random Forest in the Yanchi Region of Northwest China.EXPOSURE AND HEALTH,12(4),761-774. |
MLA | Wu, Chu,et al."Health-Risk Assessment of Arsenic and Groundwater Quality Classification Using Random Forest in the Yanchi Region of Northwest China".EXPOSURE AND HEALTH 12.4(2020):761-774. |
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