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Groundwater retention potential assessment is essential for sustainable water resource management, climate adaptation, and spatial planning. Previous studies based on Analytic Hierarchy Process have demonstrated the usefulness of expert-driven multi-criteria analysis for identifying areas favourable for groundwater retention using geospatial and hydrogeological data. Building upon this approach, the present study proposes a comparative and hybrid modelling framework integrating AHP and Random Forest for groundwate...

This study explores the application of the Analytic Hierarchy Process (AHP) to identify groundwater retention potential within a 130 km- study area, leveraging high-precision LiDAR measurements and data from 150 wells. By integrating advanced geospatial technology with extensive field data, this approach offers a unique methodology for analyzing groundwater retention. AHP was employed to assess several key geographical factors, including the Topographic Position Index (TPI), slope, hydrographic network density, la...