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Application of Fuzzy Logic and Fractal Modeling Approach for Groundwater Potential Mapping in Semi-Arid Akka Basin, Southeast Morocco

Author

Listed:
  • Fatima Zahra Echogdali

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Said Boutaleb

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Rosine Basseu Kpan

    (Regional Water and Environmental Sanitation Centre Kumasi, Kumasi 5028, Ghana)

  • Mohammed Ouchchen

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Amine Bendarma

    (Laboratory for Sustainable Innovation and Applied Research, Universiapolis–International University of Agadir, Agadir 80000, Morocco)

  • Hasna El Ayady

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

  • Kamal Abdelrahman

    (Department of Geology & Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Mohammed S. Fnais

    (Department of Geology & Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Kochappi Sathyan Sajinkumar

    (Department of Geology, University of Kerala, Thiruvananthapuram 695 581, Kerala, India
    Department of Geological & Mining Engineering & Sciences, Michigan Technological University, Houghton, MI 49931, USA)

  • Mohamed Abioui

    (Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco)

Abstract

Groundwater potential delineation in the Akka basin, southwest Morocco, has been determined through the combination of geospatial techniques and geological data. The geometric average and expected value are two multi-criteria approaches used to integrate a set of factors–data for which the weights of each factor are assigned using the fuzzy logic function, which transforms values of factors influencing groundwater presence in a range of [0, 1]. The efficiency factors used in this study are the lineament density, node density, drainage density, distance from rivers, distance from lineament, permeability, slope, topographic witness index, plan curvature, and profile curvature. Thereafter, the groundwater potential map was generated in a GIS environment. To assess and compare the efficiency of the two models, the well data existing in the basin were used to choose the most efficient model. For that reason, the prediction area (P–A) graph, the normalized density (N d ), and its weight (W e ) were applied to estimate the capacity of each model to predict the target area. The analysis shows that the expected value model (N d = 1.86 and W e = 0.62) is more efficient than the geometric average model (Nd = 0.96 and We = −0.04). The results of the expected value model can be used in the future planning and management of water resources in the Akka basin.

Suggested Citation

  • Fatima Zahra Echogdali & Said Boutaleb & Rosine Basseu Kpan & Mohammed Ouchchen & Amine Bendarma & Hasna El Ayady & Kamal Abdelrahman & Mohammed S. Fnais & Kochappi Sathyan Sajinkumar & Mohamed Abioui, 2022. "Application of Fuzzy Logic and Fractal Modeling Approach for Groundwater Potential Mapping in Semi-Arid Akka Basin, Southeast Morocco," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10205-:d:890250
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    References listed on IDEAS

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    1. Seyed Amir Naghibi & Kourosh Ahmadi & Alireza Daneshi, 2017. "Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2761-2775, July.
    2. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    3. Soumik Bhattacharya & Swarupa Das & Sandipan Das & Mahesh Kalashetty & Sumedh R. Warghat, 2021. "An integrated approach for mapping groundwater potential applying geospatial and MIF techniques in the semiarid region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 495-510, January.
    4. Hoekstra, Arjen Y. & Chapagain, Ashok K., 2007. "The water footprints of Morocco and the Netherlands: Global water use as a result of domestic consumption of agricultural commodities," Ecological Economics, Elsevier, vol. 64(1), pages 143-151, October.
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    Cited by:

    1. Kamal Elbadaoui & Soukaina Mansour & Mustapha Ikirri & Kamal Abdelrahman & Tamer Abu-Alam & Mohamed Abioui, 2023. "Integrating Erosion Potential Model (EPM) and PAP/RAC Guidelines for Water Erosion Mapping and Detection of Vulnerable Areas in the Toudgha River Watershed of the Central High Atlas, Morocco," Land, MDPI, vol. 12(4), pages 1-24, April.

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