干旱区生态环境知识资源中心(Arid): Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)

Arid

DOI	10.1007/s13201-023-02084-0
	Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)
	Hamma, Bellal; Alodah, Abdullah; Bouaicha, Foued; Bekkouche, Mohamed Faouzi; Barkat, Ayoub; Hussein, Enas E.
通讯作者	Alodah, A
来源期刊	APPLIED WATER SCIENCE
ISSN	2190-5487
EISSN	2190-5495
出版年	2024
卷号	14 期号:2
英文摘要	Groundwater quality assessment is crucial for the sustainable management of water resources in arid regions, where groundwater is the primary source of water supply and increasing demand raises concerns. The study area in Southwest Algeria relies heavily on groundwater as a source of water supply, and the increasing demand for freshwater raises concerns about the quality of groundwater. To assess the hydrochemical characteristics and water quality of groundwater in the Ain Sefra region, multivariate statistical methods, geochemical modeling and water quality indices were employed. The study revealed that the groundwater samples could be classified into four water groups using hierarchical cluster analysis Q mode (HCA), namely Ca-Mg-HCO3, Ca-Mg-Cl-SO4, Ca-SO4 and Na-Cl. Factor analysis was used to identify the main factors controlling the study area's hydrochemical processes. The results indicated that water-rock interaction, reverse ion exchange and anthropogenic pollution were the main hydrochemical processes affecting groundwater chemistry. The water quality index indicated that the groundwater was suitable for human consumption, with only 2.32% of the samples being unsuitable. Additionally, the groundwater was suitable for agricultural use, but salinity control was necessary. The saturation index values showed that the groundwater was supersaturated with aragonite, calcite, dolomite, anhydrite and gypsum, and undersaturated with halite. Ca-smectite, Mg-smectite and kaolinite were identified as the primary processes controlling the chemical composition of groundwater. The application of multivariate statistical methods, geochemical modeling and water quality indices provided a comprehensive understanding of the hydrochemical characteristics and water quality of groundwater in the Ain Sefra region. The findings of the study can serve as a useful basis for future studies on groundwater quality assessment in the region.
英文关键词	Groundwater quality Hydrochemical characteristics Multivariate statistical methods Water quality indices Geochemical modeling Contamination
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:001150735200004
WOS关键词	SAHARAN ATLAS ; CHEMISTRY ; BASIN ; CLASSIFICATION ; SYSTEM ; KSOUR ; RIVER
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/2XILL650/402901
推荐引用方式 GB/T 7714	Hamma, Bellal,Alodah, Abdullah,Bouaicha, Foued,et al. Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)[J],2024,14(2).
APA	Hamma, Bellal,Alodah, Abdullah,Bouaicha, Foued,Bekkouche, Mohamed Faouzi,Barkat, Ayoub,&Hussein, Enas E..(2024).Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs).APPLIED WATER SCIENCE,14(2).
MLA	Hamma, Bellal,et al."Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)".APPLIED WATER SCIENCE 14.2(2024).