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Chemometrics of the Environment: Hydrochemical Characterization of Groundwater in Lioua Plain (North Africa) Using Time Series and Multivariate Statistical Analysis

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  • Ali Athamena

    (Water Resources Mobilization and Management Laboratory (LMGRE), Department of Geology, Institute of Earth and Universe Sciences, University of Batna 2, Fesdis 05078, Algeria)

  • Aissam Gaagai

    (Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria)

  • Hani Amir Aouissi

    (Scientific and Technical Research Center on Arid Regions (CRSTRA), Biskra 07000, Algeria
    Laboratoire de Recherche et d’Etude en Aménagement et Urbanisme (LREAU), USTHB, Algiers 16000, Algeria
    Environmental Research Center (CRE), Badji-Mokhtar Annaba University, Annaba 23000, Algeria)

  • Juris Burlakovs

    (The Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Wybickiego 7, 31-261 Kraków, Poland)

  • Selma Bencedira

    (Environmental Research Center (CRE), Badji-Mokhtar Annaba University, Annaba 23000, Algeria
    Laboratory of LGE, Department of Process Engineering, Faculty of Technology, Badji Mokhtar Annaba University, Annaba 23000, Algeria)

  • Ivar Zekker

    (Institute of Chemistry, University of Tartu, 14a Ravila St., 50411 Tartu, Estonia)

  • Andrey E. Krauklis

    (Institute for Mechanics of Materials, University of Latvia, Jelgavas Street 3, LV-1004 Riga, Latvia
    Department of Environmental Science, Faculty of Geography and Earth Sciences, University of Latvia, Raina Blvd 19, LV-1586 Riga, Latvia)

Abstract

This study aims to analyze the chemical composition of Lioua’s groundwater in order to determine the geological processes influencing the composition and origin of its chemical elements. Therefore, chemometrics techniques, such as multivariate statistical analysis (MSA) and time series methods (TSM) are used. Indeed, MSA includes a component analysis (PCA) and a cluster analysis (CA), while autocorrelation analysis (AA), supplemented by a simple spectral density analysis (SDA), is used for the TMS. PCA displays three main factors explaining a total variance (TV) of 85.01 %. Factors 1, 2, and 3 are 68.72%, 11.96%, and 8.89 % of TV, respectively. In the CA, total dissolved solids (TDS) and electrical conductivity (EC) controlled three groups. The elements SO 4 2− , K + , and Ca 2+ are closely related to TDS, the elements Na + , Cl − , and Mg 2+ are closely related to CE, while HCO 3− and NO 3− indicate the dissociation of other chemical elements. AA shows a linear interrelationship of EC, Mg 2+ , Na + , K + , Cl − , and SO 4 2− . However, NO 3 − and HCO 3 − indicate uncorrelated characteristics with other parameters. For SDA, the correlograms of Mg 2+ , Na + , K + , Cl − , and SO 4 2− have a similar trend with EC. Nonetheless, pH, Ca 2+ , HCO 3 − and NO 3 − exhibit multiple peaks related to the presence of several distinct cyclic mechanisms. Using these techniques, the authors were able to draw the following conclusion: the geochemical processes impacting the chemical composition are (i) dissolution of evaporated mineral deposits, (ii) water–rock interaction, and (iii) evaporation process. In addition, the groundwater exhibits two bipolar characteristics, one recorded with negative and positive charges on pH and Ca + and another recorded only with negative charges on HCO 3 − and NO 3 − . On the other hand, SO 4 2− , K + , Ca 2+ , and TDS are the major predominant elements in the groundwater’s chemical composition. Chloride presence mainly increases the electrical conductivity of water. The lithological factor is dominant in the overall mineralization of the Plio Quaternary surface aquifer waters. The origins of HCO 3 − and NO 3 − are as follows: HCO 3 − has a carbonate origin, whereas NO 3 – has an anthropogenic origin. The salinity was affected by Mg 2+ , SO 4 2− , Cl − , Na + , K + , and EC. Ca 2+ , HCO 3 − , and NO 3 − result from human activity such as the usage of fertilizers, the carbonate facies outcrops, and domestic sewage.

Suggested Citation

  • Ali Athamena & Aissam Gaagai & Hani Amir Aouissi & Juris Burlakovs & Selma Bencedira & Ivar Zekker & Andrey E. Krauklis, 2022. "Chemometrics of the Environment: Hydrochemical Characterization of Groundwater in Lioua Plain (North Africa) Using Time Series and Multivariate Statistical Analysis," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:20-:d:1008829
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    References listed on IDEAS

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