Scholarlink

<p>Urban expansion has profoundly altered hydrological processes, wherein drainage system capacity critically governs regional flood resilience. Frequent extreme storms driven by climate change and increased floating debris from human activities exacerbate urban flood risks during rainstorms, primarily through stormwater inlet blocked that reduces drainage efficiency. To quantitatively analyze these mechanisms, this study developed a coupled modeling framework integrating the storm water management model (SWMM) pipe network module with the 2D hydrodynamic surface model, incorporating a novel stormwater inlet capacity reduction module to better represent real-world drainage capacity variation. The model was rigorously validated using both idealized and real-world flooding cases, demonstrating high accuracy and applicability. Key findings reveal: (1)Simulations incorporating inlet capacity reduction increased surface inundation areas compared to conventional models, with impacts more pronounced under heavy rainfall conditions; (2)Pre-peak rainfall blockages caused greater inundation impacts than post-peak occurrences; (3)The cleaning of stormwater inlets can significantly alter the surface inundation process, including reducing the peak of surface inundated area and rapidly discharging accumulated water volume; (4)Delayed clean increase inundation areas by 0.07–20.69% and elevated peak discharge at drainage outlets by 0.33–83.52%. This study provides a mechanistic understanding of drainage capacity variation impacts on urban flood processes, offering critical insights for optimizing urban flood management strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Simulation Method of Urban Flood Process Based on Dynamic Correction of Stormwater Inlet Capacity

  • 期刊论文

  • 发表日期：

    2026年1月5日

查看全文
  • Jiahao Lv,
  • Jingming Hou,
  • Donglai Li,
  • Tian Wang,
  • Yanhong Wang,
  • Guangzhao Chen,
  • Zheng Dang,
  • Xiang Man

摘要

Urban expansion has profoundly altered hydrological processes, wherein drainage system capacity critically governs regional flood resilience. Frequent extreme storms driven by climate change and increased floating debris from human activities exacerbate urban flood risks during rainstorms, primarily through stormwater inlet blocked that reduces drainage efficiency. To quantitatively analyze these mechanisms, this study developed a coupled modeling framework integrating the storm water management model (SWMM) pipe network module with the 2D hydrodynamic surface model, incorporating a novel stormwater inlet capacity reduction module to better represent real-world drainage capacity variation. The model was rigorously validated using both idealized and real-world flooding cases, demonstrating high accuracy and applicability. Key findings reveal: (1)Simulations incorporating inlet capacity reduction increased surface inundation areas compared to conventional models, with impacts more pronounced under heavy rainfall conditions; (2)Pre-peak rainfall blockages caused greater inundation impacts than post-peak occurrences; (3)The cleaning of stormwater inlets can significantly alter the surface inundation process, including reducing the peak of surface inundated area and rapidly discharging accumulated water volume; (4)Delayed clean increase inundation areas by 0.07–20.69% and elevated peak discharge at drainage outlets by 0.33–83.52%. This study provides a mechanistic understanding of drainage capacity variation impacts on urban flood processes, offering critical insights for optimizing urban flood management strategies.