Articles | Volume 29, issue 22
https://doi.org/10.5194/hess-29-6647-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-6647-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Robust adaptive pathways for long-term flood control in delta cities: addressing pluvial flood risks under future deep uncertainty
Hengzhi Hu
Department of Hospitality Management, Shanghai Business School, Shanghai 200234, China
Key Laboratory of Cities' Mitigation and Adaptation To Climate Change in Shanghai, China Meteorological Administration, Shanghai 200030, China
Qian Ke
Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam, Rotterdam 3062 PA, the Netherlands
Wei Wu
Key Laboratory of Cities' Mitigation and Adaptation To Climate Change in Shanghai, China Meteorological Administration, Shanghai 200030, China
Min Zhang
School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
Yanjuan Wu
Department of Geography and Spatial Information Techniques, Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, Donghai Institute, Ningbo University, Ningbo 315211, China
Chengming Jin
Shanghai Institute of Geological Survey, Shanghai 200072, China
Jiahong Wen
CORRESPONDING AUTHOR
School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
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Heng Lu, Zhengli Yang, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Gang Fan, Chen Chen, and Min Zhang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-68, https://doi.org/10.5194/nhess-2024-68, 2024
Preprint withdrawn
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1. Sort out the characteristics, functions, links, and application scope of various measuring tools. 2. Bibliometric analysis of early identification methods for landslide hazards. 3. Review the influencing factors of landslides and summarize data links and application literature. 4. Focused on analyzing 5 early landslide identification methods. 5. In-depth exploration of the internal connections of literature and future development directions.
Zhengli Yang, Heng Lu, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Chen Chen, Min Zhang, and Gang Fan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-69, https://doi.org/10.5194/hess-2024-69, 2024
Preprint withdrawn
Short summary
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1. Effective early identification is the key to predicting flash floods. 2. Considering the impact of local sediment deposition will improve the early identification ability . 3. Based on bibliometric analysis, a comprehensive knowledge system has been provided. 4. Conduct practical research focusing on mechanisms, models, and uncertainties. 5. Application of Expandable Knowledge Graph in Early Identification of Mountain Floods in the Future.
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
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This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
Hanqing Xu, Zhan Tian, Laixiang Sun, Qinghua Ye, Elisa Ragno, Jeremy Bricker, Ganquan Mao, Jinkai Tan, Jun Wang, Qian Ke, Shuai Wang, and Ralf Toumi
Nat. Hazards Earth Syst. Sci., 22, 2347–2358, https://doi.org/10.5194/nhess-22-2347-2022, https://doi.org/10.5194/nhess-22-2347-2022, 2022
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A hydrodynamic model and copula methodology were used to set up a joint distribution of the peak water level and the inland rainfall during tropical cyclone periods, and to calculate the marginal contributions of the individual drivers. The results indicate that the relative sea level rise has significantly amplified the peak water level. The astronomical tide is the leading driver, followed by the contribution from the storm surge.
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Short summary
This study proposes a framework combining robustness and adaptiveness for long-term flood planning. Applied to Shanghai, it shows that the most cost-effective option may not meet long-term goals, and a combination of green spaces, drainage, and tunnels outperforms alternative options. The findings emphasize that flexibility and adaptability are critical for developing robust, long-term adaptation pathways and minimizing future risks in other urban areas.
This study proposes a framework combining robustness and adaptiveness for long-term flood...