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Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)

Author

Listed:
  • Maryam Akbari

    (Yazd University)

  • Sarita Gajbhiye Meshram

    (Ton DucThang University)

  • R. S Krishna

    (Veer Surendra Sai University of Technology)

  • Biswajeet Pradhan

    (Sejong University
    Universiti Kebangsaan Malaysia)

  • Sameer Shadeed

    (An-Najah National University)

  • Khaled Mohamed Khedher

    (King Khalid University
    High Institute of Technological Studies, Mrezgua University Campus)

  • Mehdi Sepehri

    (Yazd University)

  • Ali Reza Ildoromi

    (Malayer University)

  • Fereshteh Alimerzaei

    (University of Torbat Heydarieh)

  • Fariba Darabi

    (Gorgan University of Agricultural Sciences and Natural Resources)

Abstract

In arid and semi-arid regions, groundwater is considered being the most available natural resources for different water use. However, it is being limited in quantity. As such, its sustainable development and managementent depends on based on various criteria (e.g. climatic conditions, scale, aquifer properties, etc.). This study presents three multi-criteria index approaches (Analytic Hierarchy Process (AHP), Best–Worst Method (BWM), and Full Consistency Method (FUCOM) to classify groundwater potential maps in the Sarakhs Plain in North-east Iran. In this study, 10 parameters (layers) that affect groundwater potential recharge mapping (GPRM) are used using ArcGIS10.2. These layers includeground surface elevation, surface slope, aspect, relative slope position (RSP), plan curvature, topographic wetness index (TWI), terrain ruggedness index (TRI), drainage density, landuse, and lithology. These layers and their features were assigned properweights based on the conceptual frameworks of AHP, BWM, and FUCOM techniques, and then using a weighted overlay summation process (WOSP), final maps of groundwater potential in Sarakhs plain are obtained. The developed groundwater potential maps are classified into four classes, including low, medium, high, and very-high. The results show that among the 10 driving parameters, land use, and lithology have the highest importance and the surface slope has the lowest importance in the mapping of groundwater potential recharge. The best groundwater potential zones are concentrated in northeast and southeast, central parts, and a few parts in the areas of the western regionof the Sarakhs plain due to its nearly gentle slopes with quaternary alluvial and agriculture land and lower drainage density. The obtained results are of high value for decision-makers in the Sarakhs plain in specific and for entire Iran in general to apply sustainable groundwater utilization plans.

Suggested Citation

  • Maryam Akbari & Sarita Gajbhiye Meshram & R. S Krishna & Biswajeet Pradhan & Sameer Shadeed & Khaled Mohamed Khedher & Mehdi Sepehri & Ali Reza Ildoromi & Fereshteh Alimerzaei & Fariba Darabi, 2021. "Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4727-4745, November.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:14:d:10.1007_s11269-021-02924-1
    DOI: 10.1007/s11269-021-02924-1
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    2. Jurgita Kuizinaitė & Mangirdas Morkūnas & Artiom Volkov, 2023. "Assessment of the Most Appropriate Measures for Mitigation of Risks in the Agri-Food Supply Chain," Sustainability, MDPI, vol. 15(12), pages 1-18, June.

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