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随着社区燃气管道的大量铺设，燃气管网安全性问题日益突出，一旦燃气管道遭到破坏或泄漏，不仅会对人民群众的生命及财产安全造成严重的威胁，也会给城市的应急资源布局带来考验。为了探析城市社区燃气管道突发事件风险的空间特征并提出城市应急资源优化方案，首先，基于北京市POI数据，在ArcGIS软件中基于频数密度算法划分城市功能区，得出北京市功能区的分布图；然后，基于POI数据和NPP/VIIRS数据，选用SAVEE模型分别进行风险分析，再使用迭加模型，在赋予两类数据权重的前提下，汇总成基于多源数据的北京市社区燃气管道突发事件风险综合评价图；最后，基于区位-配置模型的3个不同维度提出优化方案并汇总。结果表明：短期内新建19个消防站较为合理，可将住宅小区覆盖率提高至98.76%,长期内新建24个消防站较为合理，可将住宅小区覆盖率提高至99.84%。
Abstract：With the massive laying of community gas pipelines, the problem of gas pipeline network security is becoming more and more prominent, once the gas pipeline is damaged or leaked, it will not only pose a serious threat to the life and property safety of the people, but also bring a test to the layout of a city's emergency resources.In order to explore the spatial characteristics of the risk of gas pipeline emergencies in urban communities and to propose an optimization scheme for urban emergency resources, based on the POI data of Beijing, we divided the functional areas of the city based on the frequency density algorithm in the ArcGIS software, and derived the distribution map of the functional areas of Beijing; then, based on the POI data and the NPP/VIIRS data, we chose the SAVEE model and performed the risk analysis, and then Using the iterative model, under the premise of giving weights to the two types of data, a comprehensive evaluation map of the risk of community gas pipeline emergencies in Beijing based on multi-source data was made; finally, based on the three different dimensions of the location-configuration model, an optimization scheme was proposed and summarized, It is concluded that in the short term, it is more reasonable to build 19 new fire stations, which can increase the coverage rate of residential district to 98.76%,and in the long term, it is more reasonable to build 24 new fire stations, which can increase the coverage rate of residential district to 98.76%.
[1] 王宝金.城镇燃气管道应急管理的智能化措施[J].化工管理，2021(31):89-90.WANG B J.Intelligent measures for emergency management of urban gas pipeline[J].Chemical Enterprise Management,2021(31):89-90.
[2] 李清彬，宋立义，申现杰.国家应急管理体系建设状况与优化建议[J].改革，2021(8):12-24.LI Q B,SONG L Y,SHEN X J.The construction status and improvement suggestions of national emergency management system[J].Reform,2021(8):12-24.
[3] ALZBUTAS R,MANTAS T,POVILAITIS M,et al.Risk and uncertainty analysis of gas pipeline failure and gas combustion consequence[J].Stochastic Environmental Research and Risk Assessment,2014,28(6):1431-1446.
[4] JO Y D,PARK K S.Dynamic management of human error to reduce total risk[J].Journal of Loss Prevention in the Process Industries,2003,16(4):313-321.
[5] 黄小美.城市燃气管道系统风险评价研究[D].重庆：重庆大学，2004.HUANG X M.Research of Risk Assessment on Pipelines System for Urban Gas[D].Chongqing:Chongqing University,2004.
[6] MURRAY A T.Optimising the spatial location of urban fire stations[J].Fire Safety Journal,2013,62:64-71.
[7] 张刚.基于空间分析的城市火灾风险评估与应用——以西安为例[J].城市规划，2016,40(8):59-64.ZHANG G.Urban fire risk evaluation and its application based on spatial analysis:A case study of Xi’an[J].City Planning Review,2016,40(8):59-64.
[8] 刘钺，董小珊，叶慧，等.基于GIS空间分析的城市火灾风险评估——以驻马店市中心城区为例[J].安全与环境学报，2019,19(5):1540-1546.LIU Y,DONG X S,YE H,et al.Assessment of the urban fire risk prevention based on the GIS spatial analysisprinciple—Taking Zhumadian downtown area as a case study sample[J].Journal of Safety and Environment,2019,19(5):1540-1546.
[9] 林俊雄，江心，朱建国，等.GIS模型在城市消防站布局规划的应用研究[J].城市规划，2018,42(5):63-68.LIN J X,JIANG X,ZHU J G,et al.Application of GIS model in urban fire station layout planning[J].City Planning Review,2018,42(5):63-68.
[10]李丁，刘科伟.基于AHP与GIS的城市区域火灾风险评估研究——以克拉玛依市核心区为例[J].中国安全科学学报，2013,23(4):68-73.LI D,LIU K W.Research into evaluation of fire risk in urban area based on AHP and GIS—Taking the nucleus of Kelamayi city for exemple[J].China Safety Science Journal,2013,23(4):68-73.
[11]赵卫锋，李清泉，李必军.利用城市POI数据提取分层地标[J].遥感学报，2011,15(5):973-988.ZHAO W F,LI Q Q,LI B J.Extracting hierarchical landmarks from urban POI data[J].Journal of Remote Sensing,2011,15(5):973-988.
[12]MA T,ZHOU C,PEI T,et al.Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China’s cities[J].Remote Sensing Letters,2014,5(2):165-174.
[13]池娇，焦利民，董婷，等.基于POI数据的城市功能区定量识别及其可视化[J].测绘地理信息，2016,41(2):68-73.CHI J,JIAO L M,DONG T,et al.Quantitative identification and visualization of urban functional area based on POI data[J].Journal of Geomatics,2016,41(2):68-73.
[14]郭亚峰，蓝贵文，范冬林，等.基于POI数据的城市功能区识别[J].桂林理工大学学报，2022,42(3):655-662.GUO Y F,LAN G W,FAN D L,et al.Identifying functional urban districts with POI data[J].Journal of Guilin University of Technology,2022,42(3):655-662.
[15]王爱，张强，陆林，等.多源数据支持下城市火灾风险评估及规划响应[J].中国安全科学学报，2021,31(3):148-155.WANG A,ZHANG Q,LU L,et al.Urban fire risk assessment and planning response based on multi-source data[J].China Safety Science Journal,2021,31(3):148-155.
[16]翟国方.城市公共安全规划[M].北京：中国建筑工业出版社，2016:72-73.ZHAI G F.Urban Public Safety Planning[M].Beijing:China Architecture & Building Press,2016:72-73.
[17]孙士杰，孙群，陆川伟，等.基于出租车上下客数据的城市功能区提取方法[J].测绘科学技术学报，2019,36(6):637-642.SUN S J,SUN Q,LU C W,et al.Urban functional areas extraction method based on taxi origin and destination data[J].Journal of Geomatics Science and Technology,2019,36(6):637-642.
[18]中华人民共和国住房和城乡建设部.城市消防站建设标准：建标 152—2017[S].北京：中国计划出版社，2017.Ministry of Housing and Urban-Rural Development of the People’s Republic of China.Standard for the Construction of Urban Fire Stations:Construction Standard 152—2017[S].Beijing:China Planning Press,2017.
基本信息:
DOI：10.13578/j.cnki.issn.1671-1556.20221430
中图分类号:TU996.9
引用信息:
[1]胡瑾秋,张洋铭,刘佳豪等.基于多源数据的城市社区燃气管道突发事件风险分析[J].安全与环境工程,2024,31(04):1-10.DOI:10.13578/j.cnki.issn.1671-1556.20221430.
基金信息:
国家自然科学基金项目(52074323); 中石油战略合作科技专项项目(ZLZX2020-05-02)