Xinmeng Shan, Yu Han, Jiahong Wen, Hengzhi Hu, Jiao Wang, Guotao Zhang, Paolo Scussolini, Qian Ke, Mengya Li, Jun Wang
{"title":"Integrating nature-based solutions for compound flood risk mitigation in China: A case study of Shanghai.","authors":"Xinmeng Shan, Yu Han, Jiahong Wen, Hengzhi Hu, Jiao Wang, Guotao Zhang, Paolo Scussolini, Qian Ke, Mengya Li, Jun Wang","doi":"10.1016/j.jenvman.2025.125155","DOIUrl":null,"url":null,"abstract":"<p><p>Coastal cities are increasingly vulnerable to escalating flood risks due to climate change and socio-economic development, highlighting the urgent need for effective risk mitigation strategies. This study develops a comprehensive modeling framework to assess the effectiveness of hybrid green and grey strategies in reducing future flood risks in Shanghai, a coastal mega-city in China. The framework comprehensively integrates flood risk analysis, adaptation scenarios design, and cost-benefit analysis. The results indicate that without additional adaptation, the Expected Annual Damage (EAD) could reach US$ 0.5 billion/year, representing 0.09 % of Shanghai's 2020 GDP. Under the RCP2.6 scenario, the EAD is projected to increase by US$ 0.62-0.77 billion/year from 2030 to 2100 without timely interventions. The analysis demonstrates that integrating grey and green infrastructure is both effective and economically viable, yielding a positive benefit-cost ratio. The most promising strategy integrates storage tanks, drainage enhancement, deep tunnels, and dry floodproofing, yielding greater economic benefits than individual measures. This study provides valuable insights for long-term flood adaptation planning, particularly in deltaic regions facing climate uncertainty.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125155"},"PeriodicalIF":8.0000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.jenvman.2025.125155","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Coastal cities are increasingly vulnerable to escalating flood risks due to climate change and socio-economic development, highlighting the urgent need for effective risk mitigation strategies. This study develops a comprehensive modeling framework to assess the effectiveness of hybrid green and grey strategies in reducing future flood risks in Shanghai, a coastal mega-city in China. The framework comprehensively integrates flood risk analysis, adaptation scenarios design, and cost-benefit analysis. The results indicate that without additional adaptation, the Expected Annual Damage (EAD) could reach US$ 0.5 billion/year, representing 0.09 % of Shanghai's 2020 GDP. Under the RCP2.6 scenario, the EAD is projected to increase by US$ 0.62-0.77 billion/year from 2030 to 2100 without timely interventions. The analysis demonstrates that integrating grey and green infrastructure is both effective and economically viable, yielding a positive benefit-cost ratio. The most promising strategy integrates storage tanks, drainage enhancement, deep tunnels, and dry floodproofing, yielding greater economic benefits than individual measures. This study provides valuable insights for long-term flood adaptation planning, particularly in deltaic regions facing climate uncertainty.
期刊介绍:
The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.