Articles | Volume 25, issue 9
https://doi.org/10.5194/nhess-25-3545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-3545-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Flood relief logistics planning for coastal cities: a case study in Shanghai, China
Pujun Liang
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Jie Yin
CORRESPONDING AUTHOR
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
Research Center for China Administrative Division, East China Normal University, Shanghai 202162, China
Dandan Wang
National Disaster Reduction Center of China, Ministry of Emergency Management of the People's Republic of China, Beijing 100124, China
Yi Lu
Taizhou Key Laboratory of Typhoon and Marine Meteorology, Taizhou 318000, China
Yuhan Yang
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Dan Gao
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Jianfeng Mai
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
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Yuhan Yang, Jie Yin, Weiguo Zhang, Yan Zhang, Yi Lu, Yufan Liu, Aoyue Xiao, Yunxiao Wang, and Wenming Song
Nat. Hazards Earth Syst. Sci., 21, 3563–3572, https://doi.org/10.5194/nhess-21-3563-2021, https://doi.org/10.5194/nhess-21-3563-2021, 2021
Short summary
Short summary
This is the first time the compound flooding process of heavy rain and levee-breach-induced flooding has been modeled. Real-life cases of historical flooding events have been adequately investigated. Our results provide a comprehensive view of the spatial patterns of the flood evolution, the dynamic process, and mechanism of these cases, which can help decision makers to develop effective emergency response plans and flood adaptation strategies.
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Short summary
Coastal cities face growing flood risks due to climate change. This study explores emergency planning to help cities like Shanghai to prepare for extreme floods. Using GIS (geographic information system) and optimisation methods, we developed a framework to improve the equity and efficiency of emergency supply delivery. Analysis shows Shanghai’s current facilities may not handle a severe 1000-year flood well. This underscores the need for strategic investment and fair resource allocation.
Coastal cities face growing flood risks due to climate change. This study explores emergency...
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