A Comparative Analysis of Weighting Methods in Geospatial Flood Risk Assessment: A Trinidad Case Study

The Republic of Trinidad and Tobago is an archipelagic Small Island Developing State (SIDS), situated on the southern end chain Caribbean islands. Several factors such as climate, topography, hydrological characteristics increase its susceptibility vulnerability to flooding which results in adverse socio-economic impacts. Many islands, including lack a flood risk assessment tool essential for proactive mitigation approach floods, specifically due incommensurate events that occur because inherent SIDS. This research focuses problem using analysis, analysis island Trinidad, whilst also presenting repeatable appropriate methodology assess these risks regions have similar Trinidad. especially useful countries internal human capacity support efforts. Flood hazard indexes (FHI) (VI) were generated this study subjective objective weighting technique models identify are affected by flooding. These Analytical Hierarchy Process (AHP), Frequency Ratio (FR) Shannon’s Entropy (SE). Comparative analyses three conducted efficacy accuracy each determine most suitable. used conduct associated with Regional Corporation Results indicate FR accurate model Area Under Curve (AUC) 0.76 0.64 respectively. provides understanding techniques can be where there challenges accessing comprehensive data sets limitations it relates access advanced technology technical expertise. provide reasonably outcomes assist identifying priority areas further quantitative assessments may required management efforts should focused. critical SIDS high while financial resources limited.