Analysis of groundwater quality in the lower Soummam Valley, North-East of Algeria

• Autorzy: Ghodbane Messaoud , Benaabidate Lahcen , Boudoukha Abderrahmane , Gaagai Aissam , Adjissi Omar , Chaib Warda , Aouissi Hani Amir

Identyfikatory

DOI

10.24425/jwld.2022.141549

• Języki publikacji: EN

Abstrakty

EN

Analysis of groundwater quality in the alluvial aquifer of the lower Soummam Valley, North-East of Algeria, was realised through the application of multivariate statistical methods: hierarchical cluster analysis (HCA) in Q and R modes, factorial correspondence analysis (FCA), and principal component analysis (PCA), to hydrochemical data from 51 groundwater samples, collected from 17 boreholes during periods of June, September 2016 and March 2017. The objectives of this approach are to characterise the water quality and to know the factors which govern its evolution by processes controlling its chemical composition. The Piper diagram shows two hydrochemical facies: calcium chloride and sodium bicarbonate. Statistical techniques HCA, PCA, and FCA reveal two groups of waters: the first (EC, Ca²⁺, Mg²⁺, Cl^-, SO₄^2- and NO₃^-) of evaporitic origin linked to the dissolution processes of limestone rocks, leaching of saliferous soils and anthropogenic processes, namely contamination wastewater and agricultural activity, as well marine intrusion; and the second group (Na⁺, K⁺, and HCO₃^-) of carbonated origin influenced by the dissolution of carbonate formations and the exchange of bases. The hermodynamic study has shown that all groundwater is undersaturated with respect to evaporitic minerals. On the other hand, it is supersaturated with respect to carbonate minerals, except for water from boreholes F9, F14, and F16, which possibly comes down to the lack of dissolution and arrival of these minerals. The results of this study clearly demonstrate the utility of multivariate statistical methods in the analysis of groundwater quality.

Słowa kluczowe

EN

Algeria; analysis of groundwater quality; hydrochemical data; multivariate statistical analysis; Soummam Valley

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: no. 54
• Strony: 1--12
• Opis fizyczny: Bibliogr. 64 poz., rys., tab., wykr.

Twórcy

autor

Ghodbane Messaoud

• University of Mohamed Boudiaf, Faculty of Technology, Laboratory of City, Environment, Society and Sustainable Development, 166 Ichebilia, 28000, M’sila, Algeria

• https://orcid.org/0000-0003-0705-7846

autor

Benaabidate Lahcen

• University of Sidi Mohammed Ben Abdellah, Faculty of Sciences and Techniques, Laboratory of Functional Ecology and Environment Engineering, Fez, Morocco

• https://orcid.org/0000-0002-5776-7638

autor

Boudoukha Abderrahmane

• University of Batna 2, Laboratory of Applied Research in Hydraulics, Batna, Algeria

• https://orcid.org/0000-0001-7889-3863

autor

Gaagai Aissam

• Scientific and Technical Research Center for Arid Areas (CRSTRA), Biskra, Algeria

• https://orcid.org/0000-0002-9646-2837

autor

Adjissi Omar

• University of Mohamed Boudiaf, Faculty of Technology, M’sila, Algeria

• https://orcid.org/0000-0002-8135-8420

autor

Chaib Warda

• Scientific and Technical Research Center for Arid Areas (CRSTRA), Biskra, Algeria

• https://orcid.org/0000-0002-3700-1205

autor

Aouissi Hani Amir

• Scientific and Technical Research Center for Arid Areas (CRSTRA), Biskra, Algeria

• https://orcid.org/0000-0003-0010-657X

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).