摘要
由于极端降雨频繁出现引发的地表积水会影响地铁交通的正常运行,为准确分析地表积水对地铁站点产生的不利影响,引入脆弱性分析方法,量化积水对地铁站点的干扰程度。该方法基于暴露性与敏感性分析站点的脆弱性等级,其中暴露性等级依据站点周围的积水程度判定,敏感性等级依据地铁站所承载的客流量(工作日)与服务人群的年龄特点判定。通过构建研究区域的水力模型,模拟分析7种降雨情景的地表积水分布,并与地铁站进行耦合确定地铁站的暴露性等级,且基于研究区域内地铁站点的客流量与服务人群年龄特点确定敏感性等级。利用该分析方法,得到7种降雨情景下研究区域内16条地铁线路上216个站点的脆弱性等级。结果表明:研究区域内有47个地铁站点在1 a降雨情景下存在脆弱性,有102个站点在50 a降雨情景下存在脆弱性。研究成果可为地铁站点制定暴雨应急管理措施提供有效的参考依据。
As the normal operation of subway traffic is to be impacted by the surface rainfall ponding caused by frequent occurrence of extreme rainfall, the interference degree of ponding on subway station is quantified through introducing a vulnerability analysis method, so as to accurately analyze the adverse impact from the surface ponding on subway station. The vulnerability level of subway station is analyzed by this method based on the relevant exposed property and sensitivity, in which the exposed property level is judged according to the degree of the ponding around the station, while the sensitivity level is determined in accordance with the passenger flow(working days) and the age characteristics of the served crowd carried by the subway station. Through establishing the hydraulic model of the study area, the distributions of the surface rainfall ponding for 7 rainfall scenarios are simulatively analyzed and then coupled with the subway station to determine the exposed level of the relevant subway station, while the sensitivity levels of the subway stations within the study area are determined based on the passenger flow and the age characteristics of the served crowd carried by them. With this method, the vulnerability levels of 216 subway stations on 16 subway lines within the study area under the 7 rainfall scenarios are obtained. The study results show that 47 subway stations within the study area are vulnerable under the 1 a rainfall scenario and 102 stations are vulnerable to the 50 a rainfall scenario. The study result can provide an effective reference to make the emergency management measures for the subway stations concerned.
作者
马晴晴
吴珊
王昊
侯本伟
赵玉杰
刘子龙
MA Qingqing;WU Shan;WANG Hao;HOU Benwei;ZHAO Yujie;LIU Zilong(Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China;Beijing Municipal Institute of City Planning and Design,Beijing 100045,China)
出处
《水利水电技术（中英文）》
北大核心
2022年第10期74-85,共12页
Water Resources and Hydropower Engineering
基金
北京市教育委员会科技计划一般项目(KM202210005017)
国家水体污染控制与治理科技重大专项(2017ZX07108-002)。
关键词
地铁站点
降雨情景
地表积水
脆弱性
水力模型
降水
极端降雨
subway station
rainfall scenarios
surface ponding
vulnerability
hydraulic model
precipitation
extreme rainfall
