EGU25-13944, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13944
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Analysis of Urban Flood Simulation Considering Dual-Drainage and Buildings
Seongcheon Kwon and Giha Lee
Seongcheon Kwon and Giha Lee
  • Kyungpook National University, School of Advanced Science and Technology Convergence, Sangju-si, Kyungsangpook-do, Korea, Republic of (rnjstjdcjs07@naver.com)

The frequency of urban flooding has been increasing due to the rising occurrence of extreme weather events driven by climate change. According to SSP scenarios, temperature and precipitation levels in the Korean Peninsula are projected to rise, leading to more frequent and intense localized heavy rainfall and hydrological disasters. This underscores the necessity for non-structural measures to mitigate urban flooding. This study empirically analyzed the significance of buildings and dual drainage in urban flood modeling and compared the impact of different modeling approaches on flood forecasting and risk assessment. Using manhole overflow data derived from the SWMM model, a 2D flood analysis model was applied. Additionally, a fully coupled 1D-2D model (H12) incorporating dual drainage concepts via grate inlets was utilized to enhance the accuracy of urban flood prediction and comparative analysis. The findings revealed that the proper incorporation of dual drainage and building structures significantly improved the accuracy of urban flood simulations, emphasizing their importance in enhancing the reliability of urban flood forecasting systems.

Funding

This research was supported by Disaster-Safety Platform Technology Development Program of the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT. (No. 2022M3D7A1090338)

How to cite: Kwon, S. and Lee, G.: Analysis of Urban Flood Simulation Considering Dual-Drainage and Buildings, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13944, https://doi.org/10.5194/egusphere-egu25-13944, 2025.

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