Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Performance Analysis of Grid Resolution and Storm Sewage Network for Urban Flood Forecasting

지표격자해상도 및 우수관망 간소화 수준에 따른 도시홍수 예측 성능검토

  • Sang Bo Sim (Dept. of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Hyung-Jun Kim (Dept. of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology)
  • 심상보 (한국건설기술연구원 수자원하천연구본부) ;
  • 김형준 (한국건설기술연구원 수자원하천연구본부)
  • Received : 2023.12.04
  • Accepted : 2024.02.03
  • Published : 2024.02.29
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Abstract

With heavy rainfall due to extreme weather causing increasing damage, the importance of urban flood forecasting continues to grow. To forecast urban flooding accurately and promptly, a sewer network and surface grid with appropriate detail are necessary. However, for urban areas with complex storm sewer networks and terrain structures, high-resolution grids and detailed networks can significantly prolong the analysis. Therefore, determining an appropriate level of network simplification and a suitable surface grid resolution is essential to secure the golden time for urban flood forecasting. In this study, InfoWorks ICM, a software program capable of 1D-2D coupled simulation, was used to examine urban flood forecasting performance for storm sewer networks with various levels of simplification and different surface grid resolutions. The inundation depth, inundation area, and simulation time were analyzed for each simplification level. Based on the analysis, the simulation time was reduced by up to 65% upon simplifying the storm sewer networks and by up to 96% depending on the surface grid resolution; further, the inundation area was overestimated as the grid resolution increased. This study provides insights into optimizing the simplification level and surface grid resolution for storm sewer networks to ensure efficient and accurate urban flood forecasting.

Keywords

Acknowledgement

This research was supported by Korea Environment Industry & Technology Institute (KEITI) through R&D Program for Innovative Flood Protection Technologies against Climate Crisis, funded by Korea Ministry of Environment(MOE)(2022003470001)

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