Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau

doi:10.1016/j.scitotenv.2018.09.322

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	Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau
	Xiao, J (Xiao, Jun)1; Wang, LQ (Wang, Lingqing)2; Deng, L (Deng, Li)1; Jin, ZD (Jin, Zhangdong)1
通讯作者	Xiao, Jun(xiaojun@ieecas.cn)
	2019-02-10
发表期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
卷号	650 期号:2 页码:2004-2012
产权排序	1
摘要	Water resources and water quality are restrictive factors in the Chinese Loess Plateau (CLP), a unique area with most severe soil erosion, fragile ecology and water shortage. River and well water samples were firstly analyzed, and multiple methods and indexes, including principal component analysis (PCA), correlation analysis (CA), sodium adsorption ratio (SAR), water quality index (WQI), hazard quotient (HQ), and hazard index (HI), were used to investigate characteristics, water quality and health risk assessment of trace elements in CLP. The average trace elements concentrations were higher than the world average with a slightly alkaline characteristic. PCA and CA showed that Al, Fe, Li, B, As, and F had natural origins from loess weathering and leaching; Cr, Pb, Cd, Cu, Ag, and Tl were mainly from anthropogenic input; Co, Ni, and Mn were dominated by both anthropogenic and natural sources. The poor river water quality was mainly related with high sodium (alkalinity) and salinity hazard. The poor well water quality samples with high WQI values, especially for As, Cr, and B, were distributed in the northwest and the Fenhe River sub-basin. The pollution level of trace elements in rivers in CLP was in medium level compared with other rivers worldwide. Arsenic pollution was the worst in well water and was the potential pollutant in river water especially for children. Arid climate together with anthropogenic input and special water characteristics (high Na, pH, and low Ca) aggravated As pollution. More work should be done to monitor the secular variation and remove As in the high As areas. The results of this study can provide the basic data for efficient water management and human health protection in CLP.
关键词	Trace elements Source identification Water quality index Health risk assessment Chinese Loess Plateau
DOI	10.1016/j.scitotenv.2018.09.322
关键词[WOS]	MULTIVARIATE STATISTICAL TECHNIQUES ; HEAVY-METALS ; DRINKING-WATER ; SURFACE-WATER ; YELLOW-RIVER ; SPATIAL-DISTRIBUTION ; UTTAR-PRADESH ; GROUNDWATER ; CONTAMINATION ; POLLUTION
收录类别	SCI ; SCIE
语种	英语
资助项目	Youth Innovation Promotion Association of CAS[2015336] ; CAS Light of West China program ; National Natural Science Foundation of China[41673128] ; National Natural Science Foundation of China[41661144042]
WOS研究方向	Environmental Sciences & Ecology
项目资助者	Youth Innovation Promotion Association of CAS ; CAS Light of West China program ; National Natural Science Foundation of China
WOS类目	Environmental Sciences
WOS记录号	WOS:000447871400035
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：322[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/10954
专题	加速器质谱中心
通讯作者	Xiao, J (Xiao, Jun)
作者单位	1.Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xian 710061, Shaanxi, Peoples R China; 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Xiao, J ,Wang, LQ ,Deng, L ,et al. Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,650(2):2004-2012.
APA	Xiao, J ,Wang, LQ ,Deng, L ,&Jin, ZD .(2019).Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau.SCIENCE OF THE TOTAL ENVIRONMENT,650(2),2004-2012.
MLA	Xiao, J ,et al."Characteristics, sources, water quality and health risk assessment of trace elements in river water and well water in the Chinese Loess Plateau".SCIENCE OF THE TOTAL ENVIRONMENT 650.2(2019):2004-2012.

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