Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, Matthias Garschagen
{"title":"Assessment of building damage and risk under extreme flood scenarios in Shanghai","authors":"Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, Matthias Garschagen","doi":"10.5194/nhess-23-3247-2023","DOIUrl":null,"url":null,"abstract":"Abstract. This article presents a flood risk assessment for\nShanghai, which provides an indication of what buildings (including\nresidential, commercial, office, and industrial) will be exposed to flooding\nand its damage. Specifically, this assessment provides a risk assessment\nthat buildings may face after construction. To achieve the flood risk\nassessment on buildings, we developed an integrated flood model and\ncollected data on building shape and number of floors, land use, and\nconstruction costs for different building types in Shanghai. The extreme\ncompound flood scenarios (1/200-, 1/500-, 1/1000-, and 1/5000-year floods) and\nbuilding metadata were aggregated using a risk analysis chain. According\nto the damage for different flood scenarios, the average annual loss (AAL)\ncan be calculated and is referred to as building flood risk. The AAL of\nresidential, commercial, office, and industrial buildings is USD 12.3, 2.5,\n3.7, and 3.4 million, respectively. Among the 15 (non-island) districts\nin Shanghai, Pudong has the highest AAL. The risk analysis chain developed\nin this study can be reproduced for other megacities. The results provide a\nclear picture for future building flood risks which links directly to\ndisaster risk management, which implies the extent of flood risk in building\ntypes, sub-districts, and districts related to the Shanghai Master Plan.\nThis assessment takes into consideration future climate change scenarios,\ninformation for scenario-based decision making, and a cost–benefit analysis\nfor extreme flood risk management in Shanghai. We also discussed different\npotential adaptation options for flood risk management.","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":"40 1","pages":"0"},"PeriodicalIF":4.2000,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/nhess-23-3247-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. This article presents a flood risk assessment for
Shanghai, which provides an indication of what buildings (including
residential, commercial, office, and industrial) will be exposed to flooding
and its damage. Specifically, this assessment provides a risk assessment
that buildings may face after construction. To achieve the flood risk
assessment on buildings, we developed an integrated flood model and
collected data on building shape and number of floors, land use, and
construction costs for different building types in Shanghai. The extreme
compound flood scenarios (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.
期刊介绍:
Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.