자료포락분석을 활용한 도시 유역 침수위험도 평가

In order to prevent the flood damage of urban watersheds, it is important to anticipate the relative inundation risk of urban watersheds and to perform inundation damage mitigation projects. Therefore, we propose a methodology for evaluation of the relative inundation risk of urban watersheds to determine the project priority for each watershed. For this purpose, we suggest to use cross efficiency of Data Envelopment Analysis (DEA), which can consider the probability of inundation occurrence and the inundation damage simultaneously. In this method, the average slope, density of conduit, elevation, and the sediment yield per unit area of subcatchment were used as input parameters representing the probability of inundation occurrence while population of the subcatchment as an output representing the inundation damage. After the suggested method is applied to GunJan Basin, Seoul, it is shown that the DEA model can estimate the relative inundation risk of each watershed even though it does not require decision makers to asses the weight on individual input and output parameter, which is required in the other multi-criteria decision making models such as the Analytic Hierarchy Process and PROMETHEE. The estimated relative inundation risk of each watershed can be used to determine the project priority for each watershed