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

Fatima Zahra Echogdali, Said Boutaleb, Rosine Basseu Kpan, Mohammed Ouchchen, Amine Bendarma, Hasna El Ayady, Kamal Abdelrahman, Mohammed S. Fnais, Kochappi Sathyan Sajinkumar and Mohamed Abioui ()
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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
Mohamed Abioui: Department of Earth Sciences, Faculty of Sciences, Ibn Zohr University, Agadir 80000, Morocco

Sustainability, 2022, vol. 14, issue 16, 1-17

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.

Keywords: fuzzy logic; groundwater potential map; expected value; geometric average; prediction area; normalized density; weight (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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