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Updated: May 16, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Integrating nature-based solutions for compound flood risk mitigation in China: A case study of Shanghai
Xinmeng Shan1, Yu Han2, Jiahong Wen3
1Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad, 45320, Pakistan; Key Laboratory of Geographic Information Science of Ministry of Education, East China Normal University, Shanghai, 200241, China.
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.
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