<![CDATA[Flood events are increasing in frequency and severity worldwide due to climate change, rapid urbanization, and land-use transformation. Flood risk mapping has therefore become a critical tool for disaster risk reduction and spatial planning. This study aims to develop and analyze a flood risk mapping framework based on Geographic Information System (GIS) and multi-criteria decision analysis techniques. The research integrates physical, environmental, and socio-economic factors including rainfall intensity, slope, elevation, land use, soil type, drainage density, and population exposure. Analytical Hierarchy Process (AHP) and weighted overlay analysis were applied to derive flood risk indices and spatial risk zoning. The results classify the study area into very low, low, moderate, high, and very high flood risk zones. High-risk zones are primarily located in low-lying floodplains with dense settlements and poor drainage conditions. The findings are consistent with previous studies in Asia, Africa, and Europe, demonstrating the robustness of GIS-based multi-criteria approaches for flood risk assessment. This research contributes to the growing body of evidence that GIS-based flood risk mapping is an effective and scalable tool for supporting disaster mitigation, land-use planning, and policy formulation. The study recommends integrating GIS-based flood risk maps into regional planning frameworks to improve flood preparedness and resilience.]]>
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