Application of SIND model for the Prediction of Flooding in Coastal Cities

Flooding damage is increasing due to abnormal climates. In particular, in the case of coastal cities, it necessary simultaneously consider inundation caused by marine disasters such as storm surge and tsunami well urbanization. order respond flood prediction must be preceded. Korea, intensity has been classified frequency, hazard maps have produced accordingly. The map generally derived through numerical simulation, which based on a scenario, so there lot uncertainty, difficult predict disaster for scenario not established. Because target range coast wide, calculation speed simulation slow, considerable amount time required prediction. It practically torrential rain short period time. Therefore, this paper, using SIND model, scientific interpolation model proposed Kim et al. (2018), ability cities was reviewed method presented. short-term urban desired within pre-established forecast map, can used rain. To examine applicability, accuracy from analyzed. As result, confirmed that shape similarity suggested (2019) about 0.7 or higher, judged appropriate terms similarity. If technique validation improved suit flooding characteristics, use expected increase.