A tight coupling model for urban flood simulation based on SWMM and TELEMAC-2D and the uncertainty analysis

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-09-02 DOI:10.1016/j.scs.2024.105794
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Abstract

The urban flood of rainstorm has posed a major threat to human life and property in recent years, seriously affecting the sustainable development of society. The numerical model can simulate how an urban flood develops and moves, and then guide how to reduce the disaster's impact. This study develops a tight coupling model named STUFMS based on Storm Water Management Model (SWMM) and TELEMAC-2D for urban flood simulation. Theoretical and practical cases were respectively applied to verify the reasonability and accuracy of the model. The theoretical case demonstrates that the STUFMS can better simulate the process of water exchange between the surface and rainwater drainage systems while the practical case suggests that the change in water level and the flooded area simulated by the STUFMS are basically consistent with the typical historical rainfall events. The uncertainty analysis revealed that terrain resolution and temporal resolution of rainfall series have a significant impact on the inundation scopes. Generally, the STUFMS model behaved well in simulating the urban flood process, offering a novel tool for numerical modeling of urban flood.

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基于 SWMM 和 TELEMAC-2D 的城市洪水模拟紧密耦合模型及不确定性分析
近年来,暴雨引发的城市内涝对人类生命财产构成了重大威胁,严重影响了社会的可持续发展。数值模型可以模拟城市洪水的发展和移动过程,进而指导如何降低灾害的影响。本研究基于暴雨管理模型(SWMM)和 TELEMAC-2D 开发了一种用于城市洪水模拟的紧密耦合模型 STUFMS。为验证模型的合理性和准确性,分别应用了理论和实际案例。理论案例表明,STUFMS 能较好地模拟地表和雨水排水系统之间的水交换过程;而实际案例表明,STUFMS 模拟的水位变化和淹没面积与历史典型降雨事件基本一致。不确定性分析表明,地形分辨率和降雨序列的时间分辨率对淹没范围有很大影响。总体而言,STUFMS 模型在模拟城市洪水过程中表现良好,为城市洪水数值模拟提供了一种新的工具。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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