Flood hazard risk evaluation using fuzzy logic and weightage based combination methods in Geographic Information System (GIS)

Abstract

This study addresses the crucial variables that contribute highly to the risk of ood based on the ood characteristics of the Waverly region and develops a fuzzy logic and geographic information-based urban ood map with ood zones in Waverly City, Iowa. The methodology emphasizes weighting crucial variables using spatial analyst tools and fuzzy logic-based Geographic Information System (GIS) mapping. Local elevation, distance from Cedar River, land use, and population density in Waverly City are recognized as e ective variables involved in the risk of ood in Waverly City. Twenty-three calibration tests for determining the weights of these variables on the risk of ood were performed and compared to previously produced Waverly ood risk maps. Finally, the weights of these variables were assigned as 70% for elevation, 20% for distance from Cedar River, 5% for Manning's coe cient, and 5% for population density. In a fuzzy environment, they were assigned to di erent fuzzy membership functions: For elevation, fuzzi cation technique small was used; for distance, fuzzi cation technique MS small was used; for Manning's coe cient and population density, fuzzi cation technique large was used. The ood hazard maps created were overlaid with 100-and 500-year ood maps of Waverly City for calibration and risk evaluation.

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