城市暴雨内涝对交通的影响及路线优化对策

周倩倩; 李阿婷; 张茜

doi:10.12052/gdutxb.170174

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

城市暴雨内涝对交通的影响及路线优化对策

综合研究 | 更新时间：2026-05-27

- 城市暴雨内涝对交通的影响及路线优化对策
- Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events
- 广东工业大学学报 2018年35卷第4期页码：81-85
- 作者机构：
  
  广东工业大学　土木与交通工程学院,广东,广州,510006
- 作者简介：
  
  周倩倩(1984–)，女，讲师，博士，主要研究方向为市政排水
- 基金信息：
  
  广东省自然科学基金资助项目(15Z60087);广东省科技计划项目(17ZK0191)
- DOI：10.12052/gdutxb.170174
  中图分类号： TU992
- 网络首发：2018-07-09，
  
  纸质出版：2018
- 稿件说明：
移动端阅览
周倩倩, 李阿婷, 张茜. 城市暴雨内涝对交通的影响及路线优化对策[J]. 广东工业大学学报, 2018, 35(4): 81-85.

Zhou Qian-qian, Li A-ting, Zhang Xi. Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events[J]. 2018, 35(4): 81-85.
周倩倩, 李阿婷, 张茜. 城市暴雨内涝对交通的影响及路线优化对策[J]. 广东工业大学学报, 2018, 35(4): 81-85. DOI： 10.12052/gdutxb.170174.

Zhou Qian-qian, Li A-ting, Zhang Xi. Vulnerability Analysis and Traffic Route Optimization in Urban Flood Events[J]. 2018, 35(4): 81-85. DOI： 10.12052/gdutxb.170174.

摘要

城市内涝的频频发生严重影响城市交通秩序和出行者的安全. 城市暴雨洪涝对交通的影响以及路线的优化选择应得到更多的关注和研究. 本文介绍了一种基于城市暴雨内涝管理模型SWMM水动力模拟

结合Dijkstra最短路径算法

对暴雨情境下的城市内涝积水点进行模拟和识别

评估极端降雨对交通网络的影响以及受涝区域最佳交通路径的选择. 结果表明

该法可将SWMM模拟的动态内涝信息及时反馈到城市交通网络模型中

评价雨洪情境下管网节点或管段的积水阻断状态

有效求解暴雨情境下的规避路径. 此法充分结合内涝模拟系统与交通路线分析

具有空间能力分析强、规划效率高的特点

为研究极端暴雨天气对城市交通的影响以及应急管理和疏通提供支持

具有重要的现实意义.

Abstract

Urban floods can cause severe damage to vehicles

and disruption to transportation systems and people's life. Vulnerability analysis of urban traffic system and route selection and optimization under flooding circumstance require more public attention and academic research. An SWMM-based hydrodynamic model is introduced

integrated with the Dijkstra best-route algorithm

for assessing urban flood-prone areas and the related impacts on traffic system

as well as the selection of best traffic route in the flooding context. This method is capable of incorporating the SWMM flooding simulation results into urban transportation network model. Based on indications of overloaded manholes and pipes

our tool employs the Dijkstra algorithm to dynamically avoid the flooding paths. The method fully integrates flooding simulation capabilities and route analysis techniques and has several advances

including a powerful spatial analysis function and an efficient planning and query function. Our tool can be used as a support for flooding traffic alert and emergency system

and has important practical implications for urban traffic management.

关键词

Keywords

references

SRIVASTAVA J K, MURALEEDHARAN K, VISAYARAGHAVAN R. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks[J]. Anatomical Record, 1946, 95(4):461-556.

LIU Y, ZHANG S Y, LIU L, et al . Research on urban flood simulation: a review from the smart city perspective [J ] . Progress in Geography, 2 015, 34(4): 494-504.

SONG X M, ZHANG J Y, WANG G Q, et al . Development and challenges of urban hydrology in a changing environment: II: Urban stormwater modeling and management [J ] . Advances in Water Science, 2014(5): 752-764.

美国环境署. 暴雨洪水管理模型—EPA SWMM 用户教程[S]. 2015.

陈利群. SWMM在城镇排水规划设计中适用性研究[J]. 给水排水, 2010, 36(5): 114-117.

LIU J, GUO L H, ZHANG J T, et al . Study on simulation of drainage and flooding in urban areas of Shanghai based on improved SWMM [J ] . China Water And Waste Water, 2006, 22(21): 64-66.

赵冬泉, 佟庆远, 王浩正, 等. SWMM模型在城市雨水排除系统分析中的应用[J]. 给水排水, 2009(5): 198-201.

ZHOU S S, DU P F, PENG Y. Progress on application of storm water management model [J]. Advances of Science and Technology Resources, 2014(6): 89-97.

VOJINOVIC Z, TUTULIC D. On the use of 1D and coupled 1D-2D modelling approaches for assessment of flood damage in urban areas [J]. Urban Water Journal, 2009, 6(3): 183-199.

ZHANG B L, ZHANG R C, GUAN J H. A survey on shortest path algorithms in road networks [J]. Computer Applications and Software, 2014, 31(10): 1-9.

CHEN S H, PENG S Q. Application of ArcGIS in the choice of urban waterlogging route [J]. Computer Knowledge and Technology, 2013(1): 205-206.

WANG X Y, LI Q H. The shortest path analysis based on GIS [J]. Logistics Engineering and Management, 2012(6): 42-43.

DANTZIG G B. Linear Programming and Extensions[M]. US: Princeton University Press, 1998.

HUANG G R, HUANG J, YU H J, et al . Secondary development of storm water management model SWMM based on GIS [J ] . Water Resources and Power, 2011, 29(4): 43-45.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于高效时序建模的RGB-T跟踪

基于数字混频的脉冲式激光测距方法的研究与实现

面向灾后救援的多无人机通感算一体化资源分配优化方法

具守恒量波动方程的循环双子网物理信息神经网络

基于AAGV-YOLOX模型的输电线路异物检测研究