Sustainable Solutions for Managing Compound Flood Risks under Future Uncertainties: The Case of Shanghai City and the Yangtze River Delta Region

未来不确定性下复合洪水风险管理的可持续解决方案：以上海市和长三角地区为例

• 批准号: EP/R034214/1
• 负责人: Laixiang Sun
• 金额: $ 37.07万
• 依托单位: School of Oriental and African Studies
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR034214%2F1
• 关键词: Sustainable; Solutions; Managing; Compound; Flood

Climate change presents a significant planning challenge for the Yangtze River Delta (YRD) Region, where urban build-up has given rise to what may be the largest concentration of adjacent metropolitan areas in the world. The YRD metropolitan region is centred at Shanghai, a mega city sitting on the south edge of the mouth of Yangtze River. YRD in general and Shanghai in particular face compound extreme flooding events caused by sea level rise, extreme rainstorms, astronomical high tides, storm surge, and upstream floods. To effectively mitigate the potential devastating consequences of such compound events in YRD will not only save human lives in the region but also contribute to sustainable development and social stability in China. This project will develop resilient adaptation measures to address future increasing flood risk under climate change and rapid socioeconomic development in YRD and Shanghai. We will quantify the compound flooding risks in the future based on the latest developments in climate and hydrodynamic modelling, and assess both direct (physical damage of buildings, assets and infrastructures, etc.) and indirect losses (economic losses along the input-output chain of the economy) caused by such compound events. We will then evaluate proposed mitigation and adaptation alternatives with a focus on Shanghai and visualize the sustainable solutions over the period of 2017-2100 based on the enhanced Robust Decision Making (RDM) method.In this proposed project, the UK team will lead two working packages (WPs) and contribute to other packages. The UK team will lead WP-1 on climate change scenarios because the Met Office is currently routinely running a numerical weather prediction (NWP) forecast model with 1.5-km horizontal resolution over the UK (the UKV model). Based on this advantage, the UK team will work with Chinese partners to develop climate change scenario based on a regional climate model so as to create very high resolution rainfall data in the YRD region. In addition, the UK team will also contribute to the estimation of the joint distribution of co-occurring extreme weather/climate events (WP2). The UK team will lead WP-4 on Indirect Impact Assessment because Prof Laixiang SUN and his collaborators have advanced a mixed input-output model with supply constraint to effectively estimate the indirect impact of extreme events on socioeconomic sectors. The UK team will also make significant contributions to WP-6 on Evaluation of Potential Solutions because the team has made the most important contribution to the design on combining the robust decision making (RDM) scheme and the dynamic adaptive policy pathways (DAPP) for this project. Both the overall missions of this proposed project and the contribution of the UK team to the project fit well with the EPSRC's theme on Living With Environmental Change. Our project has a well-specified emphasis on both the resource challenge and the infrastructure challenge under climate change, and shows a clear recognition of the important role that engineering and physical sciences can play in dealing with such challenges in the areas of Flood risk management, Water engineering, Coastal and waterway engineering, and Sustainable land management. In terms of modelling, we develop an integrated modelling framework to take into account the entire cascade of factors from the effect of climate change on storms and sea levels, to the physical and economic damages resulting from extreme events, allowing the robust determination of annual probability of damage states and a synthesized trade-off analysis of flood control pathways. This integrated, probabilistic analysis tool promotes the mission of EPSRC in modelling complexity using advanced mathematics and ICT.

气候变化对长江三角洲(YRD)地区的规划构成了重大挑战，该地区的城市建设导致了可能是世界上最大的邻近大都市地区的集中。长三角大都市区以上海为中心，这是一座位于长江口南缘的特大城市。长江三角洲，特别是上海，面临着由海平面上升、极端暴雨、天文涨潮、风暴潮和上游洪水引起的复合极端洪水事件。有效地缓解长三角地区此类复杂事件的潜在破坏性后果，不仅将挽救该地区的人类生命，也将有助于中国的可持续发展和社会稳定。该项目将制定具有弹性的适应措施，以应对未来在气候变化和长三角和上海快速社会经济发展下不断增加的洪水风险。我们将根据气候和水动力模拟的最新发展，量化未来的复合洪水风险，并评估直接的(建筑物、资产和基础设施等的物理损害)。以及由这种复合事件造成的间接损失(经济投入-产出链上的经济损失)。然后，我们将以上海为重点对提出的缓解和适应替代方案进行评估，并基于增强稳健决策(RDM)方法对2017-2100年期间的可持续解决方案进行可视化。在这个拟议的项目中，英国团队将领导两个工作方案(WPS)并为其他方案做出贡献。英国团队将在气候变化情景方面领导WP-1，因为英国气象局目前正在例行运行一个在英国上空水平分辨率为1.5公里的数值天气预报(NWP)模式(UKV模式)。基于这一优势，英国团队将与中国合作伙伴共同开发基于区域气候模式的气候变化情景，以创建长三角地区非常高分辨率的降雨数据。此外，英国团队还将对共同发生的极端天气/气候事件(WP2)的联合分布做出贡献。英国团队将领导WP-4进行间接影响评估，因为孙来祥教授和他的合作者提出了一个带有供应约束的混合投入产出模型，以有效估计极端事件对社会经济部门的间接影响。英国团队还将对关于潜在解决方案评估的WP-6做出重大贡献，因为该团队在将稳健决策(RDM)方案和动态适应政策路径(DAPP)相结合的设计方面做出了最重要的贡献。这一拟议项目的总体任务和英国团队对该项目的贡献都非常符合EPSRC关于与环境变化共存的主题。我们的项目明确强调气候变化下的资源挑战和基础设施挑战，并清楚地认识到工程和物理科学在应对洪水风险管理、水利工程、海岸和水道工程以及可持续土地管理等领域可以发挥的重要作用。在建模方面，我们开发了一个综合建模框架，以考虑从气候变化对风暴和海平面的影响，到极端事件造成的物理和经济损害的整个级联因素，从而能够稳健地确定年度破坏状态的概率，并对防洪途径进行综合权衡分析。这一综合的概率分析工具促进了EPSRC使用高级数学和信息和通信技术对复杂性进行建模的使命。

项目成果

Rapid Population Growth in Chinese Floodplains from 1990 to 2015.

1990年至2015年中国洪泛区人口快速增长

• DOI: 10.3390/ijerph15081602
• 发表时间: 2018-07-28
• 期刊: International journal of environmental research and public health
• 作者: Fang Y;Du S;Scussolini P;Wen J;He C;Huang Q;Gao J
• 通讯作者: Gao J

Coastal protection using building with nature concept: A case study from Chongming Dongtan Shoal, China

• DOI: 10.1007/s13131-021-1761-y
• 发表时间: 2021-09
• 期刊: Acta Oceanologica Sinica
• 影响因子: 1.4
• 作者: Z. Chong;Min Zhang;J. Wen;Luyang Wang;J. Mi;J. Bricker;Stanley Nmor;Z. Dai

Hard or soft flood adaptation? Advantages of a hybrid strategy for Shanghai

洪水适应是硬适应还是软适应？

• DOI: 10.1016/j.gloenvcha.2020.102037
• 发表时间: 2020-03-01
• 期刊: GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
• 影响因子: 8.9
• 作者: Du, Shiqiang;Scussolini, Paolo;Aerts, Jeroen C. J. H.
• 通讯作者: Aerts, Jeroen C. J. H.