Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city
the case of Shanghai
Hanqing Xu (Southern University of Science and Technology , East China Normal University, TU Delft - Hydraulic Structures and Flood Risk)
Zhan Tian (Southern University of Science and Technology , Pengcheng Laboratory, Shenzhen)
Laixiang Sun (University of Maryland, SOAS University of London)
Qinghua Ye (TU Delft - Coastal Engineering, Deltares)
Elisa Ragno (TU Delft - Hydraulic Structures and Flood Risk)
Jeremy Bricker (University of Michigan, TU Delft - Hydraulic Structures and Flood Risk)
Jinkai Tan (Sun Yat-sen University)
Qian Ke (TU Delft - Hydraulic Structures and Flood Risk)
Shuai Wang (Imperial College London)
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Abstract
Compound flooding is generated when two or more flood drivers occur simultaneously or in close succession. Multiple drivers can amplify each other and lead to greater impacts than when they occur in isolation. A better understanding of the interdependence between flood drivers would facilitate a more accurate assessment of compound flood risk in coastal regions. This study employed the D-Flow Flexible Mesh model to simulate the historical peak coastal water level, consisting of the storm surge, astronomical tide, and relative sea level rise (RSLR), in Shanghai over the period 1961-2018. It then applies a copula-based methodology to calculate the joint probability of peak water level and rainfall during historical tropical cyclones (TCs) and to calculate the marginal contribution of each driver. The results indicate that the astronomical tide is the leading driver of peak water level, followed by the contribution of the storm surge. In the longer term, the RSLR has significantly amplified the peak water level. This study investigates the dependency of compound flood events in Shanghai on multiple drivers, which helps us to better understand compound floods and provides scientific references for flood risk management and for further studies. The framework developed in this study could be applied to other coastal cities that face the same constraint of unavailable water level records.
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