In a context of increasing climate variability, the irrigated banana perimeters of the Tambacounda region (Senegal) are increasingly exposed to flood risks. This study aims to map vulnerable areas through a multi-criteria approach integrated into a Geographic Information System (GIS). The method used relies on the FIGUSED model Kazakis et al. (2015), which combines seven key environmental parameters: flow accumulation, slope, elevation, distance to drainage network, geology, land use and precipitation. Each parameter was normalized and weighted according to its relative influence on flood dynamics using the Analytical Hierarchy Process (AHP). The thematic layers were then overlaid to produce a synthetic flood vulnerability map. The results indicate that 40.12% of the study area is classified as high risk, mainly in low-lying zones near drainage axes, while 39.91% corresponds to low-risk areas, located on moderate relief. This mapping constitutes a decision-support tool for agricultural resource management, risk reduction and climate change adaptation. It also provides a technical basis for guiding mitigation actions and resilience strategies in a Sahelian context exposed to recurrent flooding.
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