Assessment of building damage and risk under extreme flood scenarios in Shanghai

IF 4.2 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, Matthias Garschagen
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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.
上海极端洪水情景下建筑破坏及风险评估
摘要本文介绍了上海的洪水风险评估,它提供了哪些建筑(包括住宅、商业、办公和工业)将暴露在洪水及其损害下的指示。具体来说,该评估提供了建筑物在建成后可能面临的风险评估。为了实现对建筑物的洪水风险评估,我们开发了一个综合洪水模型,并收集了上海不同类型建筑物的形状和楼层数、土地利用和建筑成本的数据。利用风险分析链对极端复合洪水情景(1/200年、1/500年、1/1000年和1/5000年洪水)和建筑元数据进行汇总。根据不同洪水情景下的损失,可以计算出建筑物的年平均损失(AAL),称为建筑物洪水风险。住宅、商业、办公和工业建筑的AAL分别为1230万美元、250万美元、370万美元和340万美元。在上海15个(非岛)区中,浦东的AAL最高。本研究建立的风险分析链可以复制到其他特大城市。研究结果为未来与灾害风险管理直接相关的建筑洪水风险提供了清晰的图景,揭示了与上海总体规划相关的建筑类型、街道和区域的洪水风险程度。该评估考虑了未来气候变化情景、基于情景的决策信息以及上海极端洪水风险管理的成本效益分析。我们还讨论了洪水风险管理的不同潜在适应方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences 地学-地球科学综合
CiteScore
7.60
自引率
6.50%
发文量
192
审稿时长
3.8 months
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.
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