Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai
Hanqing Xu,Elisa Ragno,Sebastiaan N. Jonkman,Jun Wang,Jeremy D. Bricker,Zhan Tian,and Laixiang Sun
Hanqing Xu
Institute of Eco-Chongming (IEC), East China Normal University, Shanghai 200241, China
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Science, East China Normal University, Shanghai 200241, China
Institute for National Safety and Emergency Management, East China Normal University, Shanghai 200062, China
Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Science, East China Normal University, Shanghai 200241, China
Institute for National Safety and Emergency Management, East China Normal University, Shanghai 200062, China
Jeremy D. Bricker
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, the Netherlands
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
A coupled statistical–hydrodynamic model framework is employed to quantitatively evaluate the sensitivity of compound flood hazards to the relative timing of peak storm surges and rainfall. The findings reveal that the timing difference between these two factors significantly affects flood inundation depth and extent. The most severe inundation occurs when rainfall precedes the storm surge peak by 2 h.
A coupled statistical–hydrodynamic model framework is employed to quantitatively evaluate the...
