Assessment of building damage and risk under extreme flood scenarios in Shanghai
Abstract 1/200 -, 1/500 -, 1/1000 -, and 1/5000 -year floods) and building metadata were aggregated using a risk analysis chain. According to the damage for different flood scenarios, the average annual loss (AAL) can be calculated and is referred to as building flood risk. The AAL of residential, commercial, office, and industrial buildings is USD 12.3, 2.5, 3.7, and 3.4 million, respectively. Among the 15 (non-island) districts in Shanghai, Pudong has the highest AAL. The risk analysis chain developed in this study can be reproduced for other megacities. The results provide a clear picture for future building flood risks which links directly to disaster risk management, which implies the extent of flood risk in building types, sub-districts, and districts related to the Shanghai Master Plan. This assessment takes into consideration future climate change scenarios, information for scenario-based decision making, and a cost–benefit analysis for extreme flood risk management in Shanghai. We also discussed different potential adaptation options for flood risk management.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Assessment of building damage and risk under extreme flood scenarios in Shanghai ; volume:23 ; number:10 ; year:2023 ; pages:3247-3260 ; extent:14
Natural hazards and earth system sciences ; 23, Heft 10 (2023), 3247-3260 (gesamt 14)
- Classification
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Soziale Probleme, Sozialdienste, Versicherungen
- Creator
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Tu, Jiachang
Wen, Jiahong
Yang, Liang Emlyn
Reimuth, Andrea
Young, Stephen S.
Zhang, Min
Wang, Luyang
Garschagen, Matthias
- DOI
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10.5194/nhess-23-3247-2023
- URN
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urn:nbn:de:101:1-2023101904315215471398
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tu, Jiachang
- Wen, Jiahong
- Yang, Liang Emlyn
- Reimuth, Andrea
- Young, Stephen S.
- Zhang, Min
- Wang, Luyang
- Garschagen, Matthias