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近年来,在高速城市化和气候变化的共同作用下,区域极端降雨造成城市内涝频繁发生,引起了道路积水、交通拥堵等诸多不利影响,及时开展城市内涝预警管理非常必要,而数值模拟则是科学分析内涝特征的重要技术手段。以珠海市香洲区吉大—拱北街区为研究区,基于管网数据和实测积水数据构建了Mike Urban区域排水管网模型;以此为工具,模拟了不同重现期条件下研究区排水管网的溢流情况,在解析易涝路段数量及其积水深度的基础上评价了区域的内涝程度;同时应用速度衰减曲线模型得出不同积水深度下的行车速度衰减程度,进而评价得出区域易涝路段中交通拥堵的高风险区域和受影响的公交线路。研究成果可为城市市政管理部门在强降雨情况下完善公交调度和发布道路行车预警提供技术支撑和决策参考。
Abstract：Recently, regional urban waterlogging caused by extreme rainfall occurs frequently due to the combined action of accelerative urbanization and climate change, which results in road waterlogging and traffic congestion. Thus, early warning of urban waterlogging is critical, and numerical simulation is a crucial method for analyzing waterlogging characteristics. In this study, the regional Mike Urban model is constructed to simulate the overflow of the drainage network under different return periods based on the pipe network and measured water-depth data. Jida-Gongbei block, Xiangzhou district in Zhuhai city is taken as the research area. The degree of regional waterlogging is assessed according to the stretch number of road waterlogging and the related accumulation water-depths. Through a velocity attenuation curve, the attenuation degree of traffic speed at the corresponding depth is calculated, which is used to assess the regional distribution of traffic congestion risk. Then, the possibly affected bus routes in the high-risk waterlogging sections are provided. The results can provide technical support and decision reference to improve public transport dispatch and early warning of road traffic in the heavy rainfall.
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基本信息:
DOI：10.13928/j.cnki.wrahe.2021.11.002
中图分类号:TU992
引用信息:
[1]张爽,杨翠巧,邵薇薇,等.基于Mike Urban的高度城市化地区内涝交通风险分析[J],2021,52(11):10-18.DOI:10.13928/j.cnki.wrahe.2021.11.002.
基金信息:
国家重点研发计划(2018YFC1508203);; 河北省重点研发计划项目(20375401D);; 国家自然科学基金(51979285)