
FROM MULTI-CRITERIA SUITABILITY MAPPING TO HYBRID PREDICTIVE MODELLING: AHP AND RANDOM FOREST FOR GROUNDWATER RETENTION ASSESSMENT
(STEF92 Technology, 2026, Szymon Labojko, Bartosz Stypinski, Agnieszka Malinowska)
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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...


