Literature DB >> 31848945

Towards understanding groundwater quality using hydrochemical and statistical approaches: case of shallow aquifer of Mahdia-Ksour Essaf (Sahel of Tunisia).

Soumaya Hajji1, Ghada Nasri2, Emna Boughariou2, Moez Bahloul3, Nabila Allouche2, Salem Bouri2.   

Abstract

Understanding the controlling factor of groundwater quality could certainly enhance the promotion of the sustainable development of groundwater resources. In fact, during the last decades, the coastal aquifer of Mahdia-Ksour Essef that belongs to the semi-arid region of Tunisia has been marked by an increase of groundwater extraction for irrigation and water for drinking. Moreover, the water quality shows deterioration due to the septic tanks and intensive agricultural activities especially in the coastal side of the aquifer. This study aimed to (1) assess the water quality using Piper Diagram, Box Plot, ions scatter diagrams, (2) understand the processes of mineralization acquisition in the aquifer, and (3) identify the chemical processes and their spatial distribution in the study area. To solve these objectives, the multivariate statistical analysis such as multiple correspondence analysis and hydrochemical analysis was performed. Accordingly, two types of groundwater are identified through the hydrochemical analysis as Na-Cl and Ca-SO4. According to multiple correspondence analysis, three water groups are determined (G1, G2, and G3). Indeed, the groundwater quality is controlled by the water-rock interactions and affected by the seawater intrusion and agricultural activities. The generated results would be helpful to provide a managing model highlighting the threatened locations. It could be considered as a basis for future monitoring programs that aspire to protect water resources.

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Keywords:  Agriculture; Coastal aquifer; Groundwater quality; Mahdia–Ksour Essaf; Multiple correspondence analysis (MCA); Seawater intrusion

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Year:  2019        PMID: 31848945     DOI: 10.1007/s11356-019-06982-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model.

Authors:  Soumaya Hajji; Nabila Allouche; Salem Bouri; Awad M Aljuaid; Wafik Hachicha
Journal:  Int J Environ Res Public Health       Date:  2021-12-23       Impact factor: 3.390

  1 in total

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