Abstract

Abstract In order to prevent the flood damage of urban watersheds, it is important to anticipate the relative inundation risk of urbanwatersheds and to perform inundation damage mitigation projects. Therefore, we propose a methodology for evaluation of the rel-ative inundation risk of urban watersheds to determine the project priority for each watershed. For this purpose, we suggest to usecross efficiency of Data Envelopment Analysis (DEA), which can consider the probability of inundation occurrence and the inun-dation damage simultaneously. In this method, the average slope, density of conduit, elevation, and the sediment yield per unitarea of subcatchment were used as input parameters representing the probability of inundation occurrence while population of thesubcatchment as an output representing the inundation damage. After the suggested method is applied to GunJan Basin, Seoul, it isshown that the DEA model can estimate the relative inundation risk of each watershed even though it does not require decisionmakers to asses the weight on individual input and output parameter, which is required in the other multi-criteria decision makingmodels such as the Analytic Hierarchy Process and PROMETHEE. The estimated relative inundation risk of each watershed canbe used to determine the project priority for each watershed. Key words : Decision making, Cross efficiency, Data envelopment analysis, Relative inundation risk, Urban watershed

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