Groundwater Potential Assessment in the Upper Oum Er-Rbia Basin, Northern Morocco

• Autorzy: Midaoui Abdelbaset , El-Hamdouny Malika , Elaloui Abdenbi , Karroum Morad , Boudhar Abdelghani , Lahrach Abderrahim

Identyfikatory

DOI

10.12912/27197050/186547

• Języki publikacji: EN

Abstrakty

EN

This study aimed to assess the groundwater potential zones (GWPZ) in northern Morocco’s Upper Oum Er-Rbia Basin (UOER). In such a semi-arid context, groundwater resources are crucial to sustaining essential human activities, but they are under stress due to increased overuse and climate change. This investigation utilized remote sensing in a GIS framework along with a multi-criteria decision analysis (MCDA) technique using the analytic hierarchy process (AHP) for the first time in this region. Ten thematic layers were created, representing the most significant parameters, which were then weighted and overlaid. The output map shows five levels of potential: very low, low, medium, high, and very high, covering 12%, 19%, 20%, 27%, and 22% of the basin area, respectively. Comparing the assessment results to the borehole yield, the AUC-ROC curve showed a value of 84.5%, which testifies to the excellent performance of the methodology used. Of the 10 criteria used, lithology was shown to be the most significant factor, followed by LULC, slope, and geomorphology. The study results offer an extensive insight into the hydrogeological potential of the UOER basin. These findings are essential for decision-makers and encourage the efficient utilization of groundwater resources, thus supporting broader objectives of sustainable development.

Słowa kluczowe

EN

groundwater potential; MCDA; AHP; remote sensing; upper Oum Er-Rbia

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2024
• Tom: Vol. 25, iss. 6
• Strony: 27--42
• Opis fizyczny: Bibliogr. 70 poz., rys., tab.

Twórcy

autor

Midaoui Abdelbaset

• Data Science for Sustainable Earth Laboratory, Sultan Moulay Slimane University, Beni Mellal 23000, Morocco

• https://orcid.org/0000-0003-1799-303X

autor

El-Hamdouny Malika

• Laboratoire d’Ecologie Fonctionnelle et Génie de l’Environnement, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco

• https://orcid.org/0009-0003-8492-0022

autor

Elaloui Abdenbi

• Data Science for Sustainable Earth Laboratory, Sultan Moulay Slimane University, Beni Mellal 23000, Morocco
• [e-mail]

• https://orcid.org/0000-0003-3328-1841

autor

Karroum Morad

• Data Science for Sustainable Earth Laboratory, Sultan Moulay Slimane University, Beni Mellal 23000, Morocco

• https://orcid.org/0000-0002-1370-2189

autor

Boudhar Abdelghani

• Data Science for Sustainable Earth Laboratory, Sultan Moulay Slimane University, Beni Mellal 23000, Morocco

• https://orcid.org/0000-0002-4033-9717

autor

Lahrach Abderrahim

• Laboratoire d’Ecologie Fonctionnelle et Génie de l’Environnement, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco

• https://orcid.org/0000-0003-2265-1341

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