Enhancing Groundwater Recharge Assessment in Mediterranean Regions: A Comparative Study Using Analytical Hierarchy Process and Fuzzy Analytical Hierarchy Process Integrated with Geographic Information Systems for the Algiers Watershed

Sustainability, Год журнала: 2025, Номер 17(7), С. 3242 - 3242

Опубликована: Апрель 5, 2025

Groundwater recharge is critical for sustainable water management in water-scarce regions like North Algeria, where climate change and urbanization exacerbate resource challenges, particularly the populous Algiers watershed. This study evaluates groundwater potential using Analytical Hierarchy Process (AHP) its fuzzy extension (FAHP), integrated with Geographic Information Systems (GIS), to map zones. Employing open-source data, AHP FAHP assessed factors such as lithology, slope, rainfall, classifying watershed into high, moderate, low Results show identifying 44.01% (528.95 km2) 52.82% (634.93 3.18% (38.14 potential, yielding similar outcomes (44.35%, 52.47%, 3.17%, respectively). Validation borehole drawdown data confirmed a 73.3% accuracy an AUC of 0.72, indicating moderate good reliability. High zones were concentrated central northern areas permeable soils gentle slopes, dominated region, minimal. concludes that both are effective preliminary assessments, favored simplicity, though excels uncertain data. Limited high-resolution hydrogeological highlight need further refinement, yet approach offers replicable framework managing arid, urbanized facing environmental pressures.

Язык: Английский

Integration of land use/land cover factors with machine learning in groundwater vulnerability assessment models for semi-arid regions Algeria.

Desalination and Water Treatment, Год журнала: 2025, Номер unknown, С. 101256 - 101256

Опубликована: Май 1, 2025

Язык: Английский