Delineation of Groundwater Potential Area using an AHP, Remote Sensing, and GIS Techniques in the Ifni Basin, Western Anti-Atlas, Morocco
Author:
Ikirri Mustapha1, Boutaleb Said1, Ibraheem Ismael M.2ORCID, Abioui Mohamed13ORCID, Echogdali Fatima Zahra1, Abdelrahman Kamal4ORCID, Id-Belqas Mouna1ORCID, Abu-Alam Tamer56ORCID, El Ayady Hasna1, Essoussi Sara1, Faik Farid1
Affiliation:
1. Department of Earth Sciences, Faculty of Sciences, Ibnou Zohr University, Agadir 80000, Morocco 2. Institute of Geophysics and Meteorology, University of Cologne, 50969 Cologne, Germany 3. MARE-Marine and Environmental Sciences Centre—Sedimentary Geology Group, Department of Earth Sciences, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal 4. Department of Geology & Geophysics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia 5. The Faculty of Biosciences, Fisheries and Economics, UiT The Arctic University of Norway, 9037 Tromsø, Norway 6. OSEAN—Outermost Regions Sustainable Ecosystem for Entrepreneurship and Innovation, University of Madeira, Colégio dos Jesuítas, 9000-039 Funchal, Portugal
Abstract
An assessment of potential groundwater areas in the Ifni basin, located in the western Anti-Atlas range of Morocco, was conducted based on a multicriteria analytical approach that integrated a set of geomorphological and hydroclimatic factors influencing the availability of this resource. This approach involved the use of geographic information systems (GIS) and hierarchical analytical process (AHP) models. Different factors were classified and weighted according to their contribution to and impact on groundwater reserves. Their normalized weights were evaluated using a pairwise comparison matrix. Four classes of potentiality emerged: very high, high, moderate, and low, occupying 15.22%, 20.17%, 30.96%, and 33.65%, respectively, of the basin’s area. A groundwater potential map (GWPA) was validated by comparison with data from 134 existing water points using a receiver operating characteristic (ROC) curve. The AUC was calculated at 80%, indicating the good predictive accuracy of the AHP method. These results will enable water operators to select favorable sites with a high groundwater potential.
Funder
King Saud University, Riyadh, Saudi Arabia
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
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