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

Author

Listed:
  • Soumaya Hajji

    (Laboratory of Water, Energy and Environment, National School of Engineers of Sfax, University of Sfax, B.P. 1173, Sfax 3083, Tunisia)

  • Nabila Allouche

    (Laboratory of Water, Energy and Environment, National School of Engineers of Sfax, University of Sfax, B.P. 1173, Sfax 3083, Tunisia)

  • Salem Bouri

    (Laboratory of Water, Energy and Environment, National School of Engineers of Sfax, University of Sfax, B.P. 1173, Sfax 3083, Tunisia)

  • Awad M. Aljuaid

    (Department of Industrial Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Wafik Hachicha

    (Department of Industrial Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

Groundwater (GW) studies have been conducted worldwide with regard to several pressures, including climate change, seawater intrusion, and water overexploitation. GW quality is a very important sector for several countries in the world, in particular for Tunisia. The shallow coastal aquifer of Sfax (located in Tunisia) was found to be under the combined conditions of continuous drop in GW and further deterioration of the groundwater quality (GWQ). This study was conducted to identify the processes that control GWQ mainly in relation to mineralization sources in the shallow Sfax coastal aquifer. To perform this task, 37 wells are considered. Data include 10 physico-chemical properties of groundwater analyzed in water samples: pH, EC, calcium (Ca), sodium (Na), magnesium (Mg), potassium (K), chloride (Cl), sulfate (SO 4 ), bicarbonate (HCO 3 ), and nitrate (NO 3 ), i.e., investigation was based on a database of 370 observations. Principal component analysis (PCA) and hydrochemical facies evolution (HFE) were conducted to extract the main factors affecting GW chemistry. The results obtained using the PCA model show that GWQ is mainly controlled by either natural factors (rock–water interactions) or anthropogenic ones (agricultural and domestic activities). Indeed, the GW overexploitation generated not only the GWQ degradation but also the SWI. The inverse distance weighted (IDW) method, integrated in a geographic information system (GIS), is employed to achieve spatial mapping of seawater intrusion locations. Hydrochemical facies evolution (HFE) results corroborate the seawater intrusion and its spatial distribution. Furthermore, the mixing ratio showed that Jebeniana and Chaffar–Mahares localities are characterized by high SWI hazard. This research should be done to better manage GW resources and help to develop a suitable plan for the exploitation and protection of water resources.

Suggested Citation

  • Soumaya Hajji & Nabila Allouche & Salem Bouri & Awad M. Aljuaid & Wafik Hachicha, 2021. "Assessment of Seawater Intrusion in Coastal Aquifers Using Multivariate Statistical Analyses and Hydrochemical Facies Evolution-Based Model," IJERPH, MDPI, vol. 19(1), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:155-:d:709967
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    References listed on IDEAS

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    1. Nura Umar Kura & Mohammad Firuz Ramli & Wan Nur Azmin Sulaiman & Shaharin Ibrahim & Ahmad Zaharin Aris & Adamu Mustapha, 2013. "Evaluation of Factors Influencing the Groundwater Chemistry in a Small Tropical Island of Malaysia," IJERPH, MDPI, vol. 10(5), pages 1-21, May.
    2. Xuewei Sun & Huayong Zhang & Meifang Zhong & Zhongyu Wang & Xiaoqian Liang & Tousheng Huang & Hai Huang, 2019. "Analyses on the Temporal and Spatial Characteristics of Water Quality in a Seagoing River Using Multivariate Statistical Techniques: A Case Study in the Duliujian River, China," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    3. Emna Boughariou & Nabila Allouche & Fatma Ben Brahim & Ghada Nasri & Salem Bouri, 2021. "Delineation of groundwater potentials of Sfax region, Tunisia, using fuzzy analytical hierarchy process, frequency ratio, and weights of evidence models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14749-14774, October.
    4. Soumaya Hajji & Sedki Karoui & Ghada Nasri & Nabila Allouche & Salem Bouri, 2021. "EFA-CFA integrated approach for groundwater resources sustainability in agricultural areas under data scarcity challenge: case study of the Souassi aquifer, Central-eastern Tunisia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12024-12043, August.
    5. Bing Zhou & Huiwei Wang & Qianqian Zhang, 2021. "Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    6. Yao Wen & Jiahao Qiu & Si Cheng & Changchang Xu & Xiaojiang Gao, 2020. "Hydrochemical Evolution Mechanisms of Shallow Groundwater and Its Quality Assessment in the Estuarine Coastal Zone: A Case Study of Qidong, China," IJERPH, MDPI, vol. 17(10), pages 1-23, May.
    7. Rajendra B. Zolekar & Rahul S. Todmal & Vijay S. Bhagat & Santosh A. Bhailume & Mahendra S. Korade & Sumit Das, 2021. "Hydro-chemical characterization and geospatial analysis of groundwater for drinking and agricultural usage in Nashik district in Maharashtra, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4433-4452, March.
    8. Wenjie Yang & Yue Zhao & Dong Wang & Huihui Wu & Aijun Lin & Li He, 2020. "Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
    9. Qianqian Zhang & Long Wang & Huiwei Wang & Xi Zhu & Lijun Wang, 2020. "Spatio-Temporal Variation of Groundwater Quality and Source Apportionment Using Multivariate Statistical Techniques for the Hutuo River Alluvial-Pluvial Fan, China," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
    10. Chaobin Ren & Qianqian Zhang, 2020. "Groundwater Chemical Characteristics and Controlling Factors in a Region of Northern China with Intensive Human Activity," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    11. Qiaona Guo & Yue Zhao & Zili Hu & Mengjun Li, 2021. "Contamination Transport in the Coastal Unconfined Aquifer under the Influences of Seawater Intrusion and Inland Freshwater Recharge—Laboratory Experiments and Numerical Simulations," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
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