Author(s): Kim Kang Been; Lee Jeong Hu; Eum Tae Soo; Song Chang Geun
Linked Author(s): Chang Geun Song
Keywords: HEC-LifeSim HEC-RAS 2D Urban Flooding Semi-basement Dwellings Quantitative Risk Assessment
Abstract: Urban flooding has become increasingly frequent due to rapid climate change, urbanization, and high-density development. In Korea, the widespread distribution of banjiha (semi-basement) housing poses a significant risk of casualties during floods. The vulnerability of these banjiha structures was evident in the 2022 Seoul heavy rainfall event, highlighting their susceptibility, particularly as they serve as a primary housing type for low-income residents. Traditional flood risk assessment models have employed statistical methods to quantitatively assess flood risk; however, they often fail to adequately account for physical conditions, resulting in discrepancies with actual damage. To address these limitations, this study developed a quantitative flood risk assessment methodology that incorporates the unique characteristics of banjiha structures using HEC-RAS 2D and HEC-LifeSim. High-resolution terrain data and building footprint data were integrated into HEC-RAS 2D to accurately simulate the complex flood flows within urban areas. Based on these hydraulic simulations, HEC-LifeSim was employed to predict human losses by reflecting the specific features of banjiha dwellings. The findings quantitatively assess human casualties caused by urban flooding and suggest the potential for improving non-structural measures such as evacuation planning. This study is expected to provide essential foundational data for human loss prediction and strategic response planning in the field of flood risk management in Korea.
Year: 2025