Multi-criteria AHP-GIS approach for groundwater potential zonation in the semi-arid Bouanane basin

Sustainable groundwater management remains a critical challenge in semi-arid regions, where climatic variability and increasing anthropogenic pressures constrain aquifer resilience. In this context, the present study applies an Analytical Hierarchy Process (AHP)-based GIS framework to delineate groundwater potential zones in the Bouanane Basin, a data-scarce semi-arid environment. The analysis integrates nine hydro-environmental factors, including precipitation, land use, lineament density, drainage density, geology, soil type, slope, elevation, and NDVI, to capture both structural and surface controls on groundwater occurrence. The AHP weighting scheme achieved an acceptable level of consistency (CR = 0.070), ensuring the reliability of the pairwise comparison process. he results identify three groundwater potential classes: very low (1.24%), low (84.88%), and moderate (13.87%). Model performance was evaluated using data from 27 wells and validated through the kappa coefficient (κ = 0.82), indicating strong agreement between predicted and observed conditions. The findings highlight the dominant influence of geological structure, lineament density, and precipitation in controlling groundwater distribution. The predominance of low to moderate potential zones reflects the hydro-climatic and geological constraints typical of semi-arid environments. This study provides a spatially explicit assessment of groundwater potential and contributing factors, offering a practical basis for groundwater management in data-limited semi-arid basins.

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Publication Details

Journal
Scientific Reports
Published
2026-06-24
DOI
https://doi.org/10.1038/s41598-026-58515-w
Primary Topic
Groundwater and Watershed Analysis
Type
article
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article

Multi-criteria AHP-GIS approach for groundwater potential zonation in the semi-arid Bouanane basin

Abdellali Abdaoui, Ali Ait Boughrous, Youssef Salama, Hamid Nouayti et al.
Scientific Reports
Groundwater and Watershed Analysis
article

Multi-criteria AHP-GIS approach for groundwater potential zonation in the semi-arid Bouanane basin

Abdellali Abdaoui, Ali Ait Boughrous, Youssef Salama, Hamid Nouayti, Omar Noman, Hasan Ouakhir, Asmae Nouayti, Nadia Lahrach, Ali El Mansour, Radoine Nouayti, Joe Miantezila Basilua, Abdelaaty A. Shahat, Youssef Zejli
article en

Abstract

Sustainable groundwater management remains a critical challenge in semi-arid regions, where climatic variability and increasing anthropogenic pressures constrain aquifer resilience. In this context, the present study applies an Analytical Hierarchy Process (AHP)-based GIS framework to delineate groundwater potential zones in the Bouanane Basin, a data-scarce semi-arid environment. The analysis integrates nine hydro-environmental factors, including precipitation, land use, lineament density, drainage density, geology, soil type, slope, elevation, and NDVI, to capture both structural and surface controls on groundwater occurrence. The AHP weighting scheme achieved an acceptable level of consistency (CR = 0.070), ensuring the reliability of the pairwise comparison process. he results identify three groundwater potential classes: very low (1.24%), low (84.88%), and moderate (13.87%). Model performance was evaluated using data from 27 wells and validated through the kappa coefficient (κ = 0.82), indicating strong agreement between predicted and observed conditions. The findings highlight the dominant influence of geological structure, lineament density, and precipitation in controlling groundwater distribution. The predominance of low to moderate potential zones reflects the hydro-climatic and geological constraints typical of semi-arid environments. This study provides a spatially explicit assessment of groundwater potential and contributing factors, offering a practical basis for groundwater management in data-limited semi-arid basins.

Scientific Reports
Université Paris Cité (FR), Abdelmalek Essaâdi University (MA), Observatoire de Paris (FR), King Saud University (SA), Instituts Supérieurs des Professions Infirmières et Techniques de Santé (MA), Mohamed I University (MA), Université Moulay Ismail de Meknes (MA), Instituto Superior da Maia (PT), Premier University (BD)
Life in Land
Openalex Percentile: Top 11%
Groundwater and Watershed Analysis
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