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001-es BibID:	BIBFORM118244
035-os BibID:	(cikkazonosító)33 (Scopus)85183327095
Első szerző:	Hamma, Bellal
Cím:	Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs) / Bellal Hamma, Abdullah Alodah, Foued Bouaicha, Mohamed Faouzi Bekkouche, Ayoub Barkat, Enas E. Hussein
Dátum:	2024
ISSN:	2190-5487 2190-5495
Megjegyzések:	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.
Tárgyszavak:	Természettudományok Földtudományok esettanulmány folyóiratcikk Groundwater quality Hydrochemical characteristics Multivariate statistical methods Water quality indices Geochemical modeling Contamination
Megjelenés:	Applied Water Science. - 14 : 2 (2024), p. 1-18. -
További szerzők:	Alodah, Abdullah Bouaicha, Foued Bekkouche, Mohamed Faouzi Barkat, Ayoub (1995-) Hussein, Enas E.
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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