首页|基于多源数据的城市社区燃气管道突发事件风险分析

基于多源数据的城市社区燃气管道突发事件风险分析

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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%.
Risk analysis of gas pipeline emergencies in urban communities based on multi-source data
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 se-rious threat to the life and property safety of the people,but also bring a test to the layout of a city's emer-gency resources.In order to explore the spatial characteristics of the risk of gas pipeline emergencies in ur-ban 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 e-valuation 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%.

community gas pipeline emergencymulti-source datafunctional area divisionrisk assessmentoptimization of emergency resource layout

胡瑾秋、张洋铭、刘佳豪、石建成、杨三锋

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中国石油大学(北京)安全与海洋工程学院,北京 102249

油气生产安全与应急技术应急管理部重点实验室,北京 102249

社区燃气管道突发事件 多源数据 功能区划分 风险评价 应急资源布局优化

国家自然科学基金项目中石油战略合作科技专项项目

52074323ZLZX2020-05-02

2024

安全与环境工程
中国地质大学

安全与环境工程

CSTPCD北大核心
影响因子:1.03
ISSN:1671-1556
年,卷(期):2024.31(4)
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