EGU26-16976, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-16976
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 04 May, 14:00–15:45 (CEST), Display time Monday, 04 May, 14:00–18:00
 
Hall A, A.63
Analysis of Underground Flooding Phenomena and Decision Support Using 3D CFD Simulation
Jeong Ah Um1, Sungsu Lee2, and Seulgi Lee3
Jeong Ah Um et al.
  • 1WEEGEE Corporate Research Institute, WEEGEE Co., Ltd., Cheongju, Korea, Republic of (jeongah29@naver.com)
  • 2School of civil engineering, Chungbuk National University, Cheongju, Korea, Republic of
  • 3Extreme Disaster Research Center, Chungbuk National University, Cheongju, Korea, Republic of

The frequency of underground flooding has been increasing due to the intensification of extreme rainfall events and rapid urbanization. Three-dimensional (3D) CFD simulations enable the analysis of complex flow behaviors that are difficult to capture using two-dimensional (2D) models, particularly in areas with large hydraulic gradients, where turbulent and vortical flows frequently occur. In addition, the CFD simulations allow for detailed representation of structural effects, including buildings, underground facilities, and flood protection structures such as flood barriers.

In this study, an underground parking facility within a multi-use building is selected as a case study to analyze flood hydraulics in underground spaces. The flooding process is analyzed in both spatial and temporal dimensions to identify the onset time of inundation and the progression of flood depths. Based on this analysis, evacuation times are estimated to support decision-making for emergency response and flood risk management in underground facilities.(This research was supported by a grant(RS-2025-02313776) of the Regional Customized Disaster-Safety R&D Program funded by Ministry of Interior and Safety(MOIS, Korea).)

How to cite: Um, J. A., Lee, S., and Lee, S.: Analysis of Underground Flooding Phenomena and Decision Support Using 3D CFD Simulation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16976, https://doi.org/10.5194/egusphere-egu26-16976, 2026.