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Towards More Efficient Urban Flood Assessment: Issue of Spatial Resolution in Urban Flood Hydrodynamic Modeling from Flood Exposure Perspective

文献类型：期刊论文

作者Xing, Yun6; Shao D(邵东)5; Lin, Qigen6; Ullah, Irfan4; Wang, Junsheng2,3; Wang, Yuezhu1,3
刊名WATER RESOURCES MANAGEMENT
出版日期2025-06-21
页码18
关键词Flood exposure Hydrodynamic modelling Urban flood Fuzzy logic method
ISSN号0920-4741
DOI10.1007/s11269-025-04267-7
通讯作者Shao, Dong(shao20130905@163.com)
英文摘要Floods pose a significant global challenge, endangering lives, property, and ecological stability, particularly in urban environments. Assessing flood exposure requires integrating hydrodynamic, demographic, property, and infrastructure data, which vary in source and resolution, prompting questions about the necessity of high-resolution hydrodynamic modeling for effective flood exposure assessments. This study examines how spatial resolution impacts the accuracy and reliability of flood exposure assessments in urban areas, where complex interactions between floods and urban topographies complicate resolution effect analyses. A novel framework is proposed to evaluate spatial resolution effects on urban flood exposure, balancing accuracy with operational efficiency to enhance disaster prevention and emergency response. The framework combines direct statistical analysis and fuzzy logic to assess the quantitative and qualitative impacts of hydrodynamic modeling resolutions. Results indicate that while finer resolutions provide detailed flood dynamics and precise inundation estimates, coarser resolutions can suffice for exposure assessments, improving forecast efficiency for urban flood management. Fuzzy logic enhances the interpretation of flood risks across resolutions, offering flexibility in modeling choices. Additionally, integrating machine learning techniques, such as random forests, with traditional hydrodynamic models improves predictive accuracy, addressing computational and data constraints. This study advances the understanding of urban flood exposure assessments and provides a scalable approach to optimize flood management strategies.
分类号二类/Q1
WOS关键词SCALE
资助项目National Natural Science Foundation of China[42201026] ; National Natural Science Foundation of China[42407619] ; National Natural Science Foundation of China[52171343] ; National Natural Science Foundation of China[2023r009] ; Startup Foundation for Introducing Talent of NUIST ; High-Performance Computing Center of Nanjing Tech University
WOS研究方向Engineering ; Water Resources
语种英语
WOS记录号WOS:001512402100001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Startup Foundation for Introducing Talent of NUIST ; High-Performance Computing Center of Nanjing Tech University
其他责任者邵东
源URL[http://dspace.imech.ac.cn/handle/311007/101832]  
专题力学研究所_非线性力学国家重点实验室
作者单位1.Dalian Maritime Univ, Coll Environm Sci & Engn, Dalian 116026, Peoples R China
2.Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China;
3.Dalian Maritime Univ, Liaoning Key Lab Marine Sensing & Intelligent Dete, Dalian 116026, Peoples R China;
4.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China;
5.Chinese Acad Sci, Key Lab Mech Fluid Solid Coupling Syst, Inst Mech, Beijing 100190, Peoples R China;
6.Nanjing Univ Informat Sci & Technol, Inst Disaster Risk Management, Sch Geog Sci, Nanjing 210044, Peoples R China;
推荐引用方式
GB/T 7714		 Xing, Yun,Shao D,Lin, Qigen,et al. Towards More Efficient Urban Flood Assessment: Issue of Spatial Resolution in Urban Flood Hydrodynamic Modeling from Flood Exposure Perspective[J]. WATER RESOURCES MANAGEMENT,2025:18.
APA Xing, Yun,邵东,Lin, Qigen,Ullah, Irfan,Wang, Junsheng,&Wang, Yuezhu.(2025).Towards More Efficient Urban Flood Assessment: Issue of Spatial Resolution in Urban Flood Hydrodynamic Modeling from Flood Exposure Perspective.WATER RESOURCES MANAGEMENT,18.
MLA Xing, Yun,et al."Towards More Efficient Urban Flood Assessment: Issue of Spatial Resolution in Urban Flood Hydrodynamic Modeling from Flood Exposure Perspective".WATER RESOURCES MANAGEMENT (2025):18.

入库方式： OAI收割

来源：力学研究所

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