摘要
为科学评价地铁车站工程暴雨内涝脆弱性,增强暴雨内涝灾害的预防和应急能力,减少人员伤害和财产损失,首先,基于压力-状态-响应(PSR)模型,全面识别地铁车站工程暴雨内涝脆弱性影响因子,并据此构建评价指标体系;然后,将投影寻踪方法、粒子群算法等方法相结合,构建地铁车站工程暴雨内涝脆弱性评价方法;最后,选取成都地铁11号线的所有车站工程进行实证分析。研究表明:不良周边环境要素、挡水墙高度以及救援物资储备情况对地铁车站工程暴雨内涝脆弱性影响显著,应予以重点关注;适应性是其脆弱性的关键构成要素;实证分析结果与2018年汛期内各车站工程受灾情况基本一致。
In order to scientifically evaluate vulnerability of heavy rainfall and waterlogging in subway stations,enhance prevention and emergency response ability as well as reduce injuries and loss of life and property,firstly,vulnerability factors were comprehensively identified and furthermore an evaluation index system was constructed based on PSR model.Then,a model of vulnerability assessment was established combining methods of projection pursuit,particle swarm optimization and others.Finally,all station projects of Chengdu subway line 11 were selected for empirical analysis.The results show that poor surrounding environment,height of water retaining walls and disaster relief supplies storage have obvious impacts on vulnerability and should be paid close attention to,and adaptability is a key element of vulnerability.Empirical evaluation results are basically consistent with the disaster situation of flood season in 2018.
作者
王军武
吴寒
杨庭友
WANG Junwu;WU Han;YANG Tingyou(School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan Hubei 430070,China;CCTEB Infrastructure Construction Investment Co.,Ltd,Wuhan Hubei 430064,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2019年第9期1-7,共7页
China Safety Science Journal
基金
国家重点研发计划项目(2018YFC0704301)
武汉市城乡建设局科技计划项目(201943)
