Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12403-021-00434-4 |
Occurrence and Distribution of Groundwater Fluoride and Manganese in the Weining Plain (China) and Their Probabilistic Health Risk Quantification | |
Liu, Leining; Wu, Jianhua; He, Song; Wang, Lei | |
通讯作者 | Wu, JH (corresponding author), Changan Univ, Sch Water & Environm, 126 Yanta Rd, Xian 710054, Shaanxi, Peoples R China. ; Wu, JH (corresponding author), Changan Univ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Minist Educ, 126 Yanta Rd, Xian 710054, Shaanxi, Peoples R China. |
来源期刊 | EXPOSURE AND HEALTH |
ISSN | 2451-9766 |
EISSN | 2451-9685 |
出版年 | 2021-10 |
英文摘要 | In this paper, the spatial distribution of fluoride (F-) and manganese (Mn) in groundwater was described and the overall groundwater quality was assessed with the entropy weight water quality index (EWQI) in Weining Plain, northwest China. The probabilistic health risk of F- and Mn in groundwater was assessed by the Monte Carlo stochastic simulation method. The results show that 50 groundwater samples (a total of 144) belong to poor and very poor quality because of agricultural activities, industrial development, and the local hydrogeological conditions. Groundwater quality in the upper reaches of the Yellow River is better than that in the lower reaches. The average health risks faced by children and adults are 4.59 and 0.62, respectively. If the uncertainty of the model parameters are considered, the mean risks faced by children and adults are 6.84 and 0.92, respectively, indicating that the health risk to residents, especially children, cannot be ignored. Compared with dermal contact, drinking water intake is the main exposure way to harm residents' health. F- contributed higher to the health risk than Mn, and children face greater risk than adults. Stochastic simulation can reflect health risks more comprehensively than the deterministic methods. The study results are helpful for decision makers to take measures for the safe supply of drinking water in the study area. |
英文关键词 | Groundwater pollution Monte Carlo Health risk Uncertainty Sensitivity analysis |
类型 | Article ; Early Access |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000705746400001 |
WOS关键词 | QUALITY ASSESSMENT ; PENGYANG COUNTY ; CONTAMINATION ; MECHANISMS ; DISTRICT ; DESERT ; INDIA ; IRON |
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/2XILL650/363224 |
作者单位 | [Liu, Leining; Wu, Jianhua; He, Song; Wang, Lei] Changan Univ, Sch Water & Environm, 126 Yanta Rd, Xian 710054, Shaanxi, Peoples R China; [Liu, Leining; Wu, Jianhua; He, Song; Wang, Lei] Changan Univ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Minist Educ, 126 Yanta Rd, Xian 710054, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Leining,Wu, Jianhua,He, Song,et al. Occurrence and Distribution of Groundwater Fluoride and Manganese in the Weining Plain (China) and Their Probabilistic Health Risk Quantification[J],2021. |
APA | Liu, Leining,Wu, Jianhua,He, Song,&Wang, Lei.(2021).Occurrence and Distribution of Groundwater Fluoride and Manganese in the Weining Plain (China) and Their Probabilistic Health Risk Quantification.EXPOSURE AND HEALTH. |
MLA | Liu, Leining,et al."Occurrence and Distribution of Groundwater Fluoride and Manganese in the Weining Plain (China) and Their Probabilistic Health Risk Quantification".EXPOSURE AND HEALTH (2021). |
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