Articles | Volume 28, issue 16
https://doi.org/10.5194/hess-28-3919-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3919-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Aug 2024
Research article |
| 27 Aug 2024
| 27 Aug 2024
Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai
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
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, the Netherlands
Sebastiaan N. Jonkman
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, the Netherlands
Jun Wang
CORRESPONDING AUTHOR
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
Zhan Tian
CORRESPONDING AUTHOR
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
Laixiang Sun
Department of Geographical Sciences, University of Maryland, College Park, MD 0742, USA
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Cited
16 citations as recorded by crossref.
- Coastal compound risk futures and sustainable climate policy payoffs in Caribbean small island developing states X. Jiang et al.
- Experimental Investigation of Dammed Flow in Open Channels: Backwater Effects on Flow Turbulence and Suspended Sediment Z. Jin et al.
- Development of a land–river–ocean coupled model for compound floods jointly caused by heavy rainfall and storm surges in large river delta regions A. Zhang & X. Yu
- A comparative evaluation of spatial cross-correlation approaches for diagnosing water-related compound risk: A case study in the Greater Bay Area, China P. Lu et al.
- From Regret Theory to no-regret decision-making: a new framework for managing low-probability, high-impact climatic events Z. Tian et al.
- Cross-regional and multi-entity resource coordination can enhance the supply of disaster relief materials during flood events in China Q. Yao et al.
- Review article: Rethinking preparedness for coastal compound flooding: insights from a systematic review D. Gomez Rave et al.
- Comprehensive flood risk identification and assessment in small mountainous watersheds using GF-7 satellite imagery and hydrological-hydrodynamic modeling J. Li et al.
- Projecting compound flood hazards induced by tropical cyclones in Southeast China using MRI-AGCM3-2-S climate model Q. Liu et al.
- Influence of storm type on compound flood drivers of a mid-latitude coastal urban environment Z. Chen et al.
- Urban flood intensification by storm clustering: The impact of rainstorm ‘train effect’ K. Guo et al.
- Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework P. Maduwantha et al.
- Integrating relative sea level rise into compound flooding hazard assessment for coastal cities Q. Liu et al.
- Towards a typology for hybrid compound flood modeling S. Radfar et al.
- Investigation of rainfall intensity and incident angle effects on raindrop distribution and load characteristics of offshore wind turbines under coupled wind-rain conditions B. Li et al.
- Study on Multi-objective Optimal Operation of Karst Area Reservoir Based on Comprehensive Coordination of Full Operational Cycle C. Mo et al.
16 citations as recorded by crossref.
- Coastal compound risk futures and sustainable climate policy payoffs in Caribbean small island developing states X. Jiang et al.
- Experimental Investigation of Dammed Flow in Open Channels: Backwater Effects on Flow Turbulence and Suspended Sediment Z. Jin et al.
- Development of a land–river–ocean coupled model for compound floods jointly caused by heavy rainfall and storm surges in large river delta regions A. Zhang & X. Yu
- A comparative evaluation of spatial cross-correlation approaches for diagnosing water-related compound risk: A case study in the Greater Bay Area, China P. Lu et al.
- From Regret Theory to no-regret decision-making: a new framework for managing low-probability, high-impact climatic events Z. Tian et al.
- Cross-regional and multi-entity resource coordination can enhance the supply of disaster relief materials during flood events in China Q. Yao et al.
- Review article: Rethinking preparedness for coastal compound flooding: insights from a systematic review D. Gomez Rave et al.
- Comprehensive flood risk identification and assessment in small mountainous watersheds using GF-7 satellite imagery and hydrological-hydrodynamic modeling J. Li et al.
- Projecting compound flood hazards induced by tropical cyclones in Southeast China using MRI-AGCM3-2-S climate model Q. Liu et al.
- Influence of storm type on compound flood drivers of a mid-latitude coastal urban environment Z. Chen et al.
- Urban flood intensification by storm clustering: The impact of rainstorm ‘train effect’ K. Guo et al.
- Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework P. Maduwantha et al.
- Integrating relative sea level rise into compound flooding hazard assessment for coastal cities Q. Liu et al.
- Towards a typology for hybrid compound flood modeling S. Radfar et al.
- Investigation of rainfall intensity and incident angle effects on raindrop distribution and load characteristics of offshore wind turbines under coupled wind-rain conditions B. Li et al.
- Study on Multi-objective Optimal Operation of Karst Area Reservoir Based on Comprehensive Coordination of Full Operational Cycle C. Mo et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
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...
