DAM SUITABILITY ANALYSIS USING AN INTEGRATED GEOSPATIAL ANALYTICS AND AHP – MCDA FOR OGBESE RIVER BASIN
Abstract
The Ogbese River Basin in Ado-Ekiti, Nigeria, faces recurrent water shortages that threaten agriculture and water supply. This study applies Geographic Information Systems (GIS), Remote Sensing (RS), and the Analytic Hierarchy Process–Multi-Criteria Decision Analysis (AHP-MCDA) to identify optimal dam sites for sustainable water resource management. Six key parameters geology, soil type, slope, elevation, drainage density, and land use/land cover were analyzed using weighted overlay in a GIS environment. Results showed that only a small portion of the basin (about 3.62 km²) meets the ideal conditions for dam construction. Geology (27%) and soil type (21%) were the most influential factors. The identified zones combine stable geology, moderate slopes, and favorable drainage with minimal environmental impact. The study demonstrates that integrating GIS and AHP-MCDA provides a reliable framework for objective dam site selection, supporting flood control, irrigation, and long-term water sustainability.
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