干旱区生态环境知识资源中心(Arid): Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China

Arid

DOI	10.1016/j.ecolind.2021.108525
	Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China
	Wang, Xiaodong; Zheng, Wende; Tian, Wei; Gao, Yanming; Wang, Xiaozhuo; Tian, Yongqiang; Li, Jianshe; Zhang, Xueyan
通讯作者	Li, JS ; Zhang, XY
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2022
卷号	135
英文摘要	Assessing groundwater quality and identifying pollutant risks are essential for managing groundwater resources in arid and semi-arid regions. An analysis of the hydrochemical characteristics, controlling factors, and pollutant characteristics of the groundwater in the upper Yellow River region is presented to understand the overall groundwater quality and identify the risk to human health in this region. Traditional hydrochemical analysis methods, integrated weight matter-element extension analysis, and health risk models were used in this study. A total of 210 groundwater samples were collected from the wells for physical and chemical analyses. Results showed that groundwater in the study area was weakly alkaline, with the predominant hydrochemical types of groundwater being SO4 center dot Cl-Ca center dot Mg, SO4 center dot Cl-Na, and HCO3-Ca center dot Mg. The hydrochemical composition of the groundwater is controlled by rock dominance, evaporation dominance, and cation exchange. Nitrogen pollution of groundwater is caused by industrial activities and fertilizers; fluorine pollution is caused by fluorite dissolution. To reasonably evaluate the groundwater quality, the groundwater evaluation method based on an integrated weight matter-element extension analysis was optimized. The method effectively avoids defects of G1 and entropy weight methods in determining weights and thoroughly considers the fuzziness and uncertainty of the water quality grade. The overall quality groundwater assessment results showed that 96.19% of the overall water quality in the study area was good and could be used in many ways. Land irrigated with groundwater is mainly exposed to salinity hazards. Health risk assessment results showed that 57% and 21% of the samples posed unacceptable health risks to children and adults, respectively. Therefore, more attention should be paid to real-time, continual monitoring of pollutants in groundwater management. The results help decision makers make wise decisions on identifying groundwater purposes to avoid further water quality deterioration and increase in pollutants, ensuring the cleanliness of groundwater resources in the upper Yellow River..
英文关键词	Hydrochemistry Integrated weight Water quality assessment Matter-element Groundwater the upper Yellow River region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000761396600004
WOS关键词	ANALYTIC HIERARCHY PROCESS ; HEALTH-RISK ; WATER-QUALITY ; NITRATE CONTAMINATION ; RURAL COMMUNITIES ; REGION ; PURPOSES ; SUSTAINABILITY ; MODEL ; PLAIN
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392298
推荐引用方式 GB/T 7714	Wang, Xiaodong,Zheng, Wende,Tian, Wei,et al. Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China[J],2022,135.
APA	Wang, Xiaodong.,Zheng, Wende.,Tian, Wei.,Gao, Yanming.,Wang, Xiaozhuo.,...&Zhang, Xueyan.(2022).Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China.ECOLOGICAL INDICATORS,135.
MLA	Wang, Xiaodong,et al."Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China".ECOLOGICAL INDICATORS 135(2022).