Author(s): Jaehyun Shin; Seung Ki Kim; Dong Sop Rhee

Linked Author(s): Dong Sop Rhee, Jaehyun Shin

Keywords: Flood inundation; Scenario generation; Urban flood; Flood risk; Water surface elevation

Abstract: As the frequency and intensity of natural and social disasters increase due to climate change, damage caused by disasters affect urban areas and facilities. Of those disasters, inundation occurs in urban areas due to rising water surface elevation because of concentrated rainfall from storm surges or caused by rural storm sewer drainage failures. For this research, the topic of concentrated rainfall causing the rise of water surface elevation will be dealt. A scenario generation algorithm for estimating flood inundation will be developed to analyze the flood effects to urban areas to prepare for disasters and minimize damage. A rainfall-time distribution was applied, and hydrologic flood tracking was conducted for each expected rainfall duration. Then, a scenario generation algorithm was developed and applied to create input values and boundary conditions for the flow model for inundation analysis. As a result of the runoff model and flow model from generated scenarios, the values of inundation were estimated which could be later used for disaster prevention. Flood risk and flood vulnerability of each the urban area could be evaluated based on the input data the scenarios and the results of the flood analysis.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p1590-cd

Year: 2023