交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 226-236.DOI: 10.16097/j.cnki.1009-6744.2024.05.021

• 系统工程理论与方法 • 上一篇    下一篇

暴雨内涝下城市路网抗涝韧性评估

金溪*,穆延   

  1. 武汉理工大学,土木工程与建筑学院,武汉430070
  • 收稿日期:2024-05-31 修回日期:2024-07-30 接受日期:2024-08-07 出版日期:2024-10-25 发布日期:2024-10-22
  • 作者简介:金溪(1978- ),男,河北河间人,副教授。

Resilience Assessment of Urban Road Networks to Flooding Under Heavy Rainfall and Flooding

JIN Xi*, MU Yan   

  1. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
  • Received:2024-05-31 Revised:2024-07-30 Accepted:2024-08-07 Online:2024-10-25 Published:2024-10-22

摘要: 极端降雨给城市路网的正常运行带来了极大挑战,为了评估在应对极端降雨时路网的抗涝韧性,本文采用场景模拟方法分析暴雨内涝灾害对路网的影响;以道路水深是否超过水深阈值为标准,判断道路的连通性,构建以节点强度和不同水深下道路速度的衰减函数为计算指标的综合评价框架;基于降雨—积水过程下道路系统的性能变化曲线和4R特征理论,分析4种暴雨重现期下路网的抗涝韧性;提出通过改造易涝交通枢纽提高路网抗涝韧性的提升策略。结果表明:降雨对路网服务性能的影响要大于对路网结构性能的影响,路网的抗涝韧性随着降雨重现期的增大而减小,道路的淹没程度与道路等级和降雨强度两个方面有关;易涝交通枢纽对路网抗涝韧性有较大影响,降雨重现期越小,影响越大。在实施提升策略后,可以显著提升路网的鲁棒性和快速性,增强路网的抗涝韧性。

关键词: 城市交通, 抗涝韧性, 洪涝模拟, 道路网络, 城市内涝

Abstract: Extreme rainfall brings great challenges to the normal operation of urban road networks. To assess the resilience of road networks against flooding when coping with extreme rainfall, this paper adopts a scenario simulation method to analyze the impacts of heavy rainfall flooding disasters on road networks. To evaluate the connectivity of the road by whether the water depth of the road exceeds the water depth threshold, a comprehensive evaluation framework is developed with the node strength and the attenuation function of the road speed under different water depths as the calculation indexes. Based on the performance change curve of the road system under rainfall- waterlogging process and 4R feature theory, the resilience of the road network against flooding is analyzed under four heavy rainfall recurrence periods. An enhancement strategy is proposed to improve the resilience of the road network to flooding by retrofitting flood-prone transportation hubs. The results show that: the impact of rainfall on the service performance of the road network is greater than that on the structural performance of the road network. The flood resilience of the road network decreases with the increase of the rainfall return period. The degree of inundation of the road is related to both the road class and the intensity of the rainfall. The flood-prone transportation hub has a greater impact on the flood resilience of the road network and the smaller the rainfall return period is, the greater the impact is. With the implementation of the upgrading strategy, the robustness and rapidity of the road network can be improved significantly, thus enhancing the resilience of the road network against flooding.

Key words: urban traffic, flood resistance, flood simulation, road network, urban waterlogging

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