EGU25-15166, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15166
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Friday, 02 May, 11:35–11:45 (CEST)
 
Room 2.31
Urban flood resilience assessment under compounding risk: joint impacts of precipitation and river level
Li Gong1,2, Xiang Zhang1,2, Zhou Guo1,2, Ryan Winston3,4, Shiyong Tao1,2, and Joseph Smith3,5
Li Gong et al.
  • 1State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
  • 2Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China
  • 3Department of Food, Agricultural, and Biological Engineering, Ohio State University, Columbus, OH, USA
  • 4Department of Civil, Environmental, and Geodetic Engineering, Ohio State University, Columbus, OH, USA
  • 5Environmental Science Graduate Program, Ohio State University, Columbus, OH, USA

Flood resilience assessment has become increasingly important for effective stormwater management in the context of frequent and severe urban flooding disasters. The severity of flooding in riverine cities is influenced by various factors, such as rainfall and river levels, but resilience assessments usually only consider the impact of heavy rainfall. Given the lack of urban flood resilience assessment under compounding risks, this study proposes a performance-based resilience assessment method considering the joint impacts of precipitation and river level, using a lake basin in Wuhan City as an example. Based on urban water system theory, the resilience assessment framework considered three subsystems’ resilience, i.e. the performance of the pipe network, the residual storage capacity of lakes, and the available discharge capacity of pumps. The Copula function was used to quantitatively assess the joint distribution characteristics of daily rainfall and the Yangtze River water level in Wuhan. A SWMM model was developed for hydrological simulation and resilience assessment under composite scenarios. Considering only the impact of precipitation would underestimate flooding risk relative to the joint effects of precipitation and river water level. The resilience index of the pipe network was the highest among the three subsystems, whereas that of the lake system was the most variable. For the same return period rainfall, the decrease in resilience of the pump system was the most pronounced as the river water level rose from 22.06 m to 29.25 m. In addition, the higher the rainfall magnitude, the more important it is to consider the jacking effects of the Yangtze River level on urban flooding. The proposed method evaluated the resilience-enhancing capacity of grey-green-blue infrastructures, and their combined effects were found to be non-linear. This research proposed a resilience assessment method founded upon joint risk and provided valuable feedback for developing effective flood resilient management strategies in riverine cities.

How to cite: Gong, L., Zhang, X., Guo, Z., Winston, R., Tao, S., and Smith, J.: Urban flood resilience assessment under compounding risk: joint impacts of precipitation and river level, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15166, https://doi.org/10.5194/egusphere-egu25-15166, 2025.