Arid
DOI10.1007/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
ISSN2451-9766
EISSN2451-9685
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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