中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (5): 105-112.doi: 10.16265/j.cnki.issn1003-3033.2026.05.1819

• 安全技术与工程 • 上一篇    下一篇

基于危化品事故后果和脆弱性的物理承灾体风险评估

关文玲1(), 王雨桐1, 王丽1,**(), 任常兴2, 董呈杰1   

  1. 1 天津理工大学 环境科学与安全工程学院, 天津 300384
    2 应急管理部天津消防研究所, 天津 300381
  • 收稿日期:2026-01-03 修回日期:2026-03-20 出版日期:2026-05-28
  • 通信作者:
    ** 王丽(1982—),女,山东泰安人,博士,讲师,主要从事人群疏散、公共安全、应急管理等方面的研究。E-mail:
  • 作者简介:

    关文玲 (1978—),女,陕西蒲城人,博士,副教授,主要从事粉尘防爆、工业火灾爆炸与风险管控等方面的研究。E-mail:

    任常兴 研究员。

    董呈杰 讲师。

  • 基金资助:
    天津市科技计划项目(24YDTPJC00110)

Risk assessment for physical hazard-bearing bodies based on consequences of hazardous chemical accidents and vulnerability

Guan Wenling1(), Wang Yutong1, Wang Li1,**(), Ren Changxing2, Dong Chengjie1   

  1. 1 School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
    2 Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381, China
  • Received:2026-01-03 Revised:2026-03-20 Published:2026-05-28

摘要:

为提升建筑物与桥梁等物理承灾体在危化品事故区域风险评估中的重要性,建立物理承灾体脆弱性评估模型,并提出考虑危化品事故后果和脆弱性的物理承灾体风险评估方法。首先,利用危险环境区域定位(ALOHA)建模软件模拟区域危险源可能的危险足迹;其次,建立包含暴露性、敏感性、适应性的物理承灾体脆弱性评估模型;然后,选取建构筑物密度、距事故中心的距离作为暴露性维度层,选取建构筑物年代、建筑高度、建筑抗震等级、桥梁长度作为敏感性维度层,选取应急避难面积、道路面积、基础设施维护资金作为适应性指标层,通过地理探测器分析物理承灾体脆弱性的驱动力因素;最后,利用地理信息系统软件(ArcGIS)叠加事故后果图与物理承灾体脆弱性图,生成综合风险图,实现物理承灾体综合风险可视化,并将该方法应用于天津市某镇的物理承灾体风险评估研究。结果表明:建构筑物密度、距事故中心距离对物理承灾体脆弱性的解释力最强,分别为0.515、0.464;高风险区域是由高危害性与高脆弱性共同作用的空间叠加结果,事故后果与脆弱性叠加后的区域,综合风险呈显著的空间分异特征。在事故后果图上,靠近危险释放点的城镇东部是最危险的区域,但由于危险释放点周围区域承灾体的脆弱性较低,在综合风险图上被划分为中等风险。

关键词: 危化品事故后果, 脆弱性, 物理承灾体, 风险评估, 危险足迹

Abstract:

To enhance the importance of buildings and bridges as physical hazard-bearing bodies for hazardous chemical accidents in regional risk assessment. In this paper, a physical vulnerability assessment model was established, and a risk assessment method was proposed, which considered the hazardous chemical accident consequences and the physical vulnerability of hazard-bearing bodies. Firstly, areal locations of hazardous atmospheres (ALOHA) was used to simulate the possible risk footprints of hazards. Secondly, a physical vulnerability assessment model including exposure, sensitivity and adaptability was established. Density of structures and distance from the accident center supply were selected as the exposure dimension layer. The age of the structures, building height, seismic grade of building and bridge length were selected as sensitivity dimension layer. Emergency shelter area, road area and infrastructure maintenance funds were selected as the adaptability index layer, and the driving force factors of physical hazard-bearing body vulnerability were analyzed through the geographical detector. Finally, arc geographic information system (ArcGIS) was used to superimpose the accident consequence map and the physical vulnerability map to generate a comprehensive risk map to realize the comprehensive risk visualization of hazard-bearing body. This method was applied to the risk assessment of physical hazard-bearing bodies in a town of Tianjin. The results show that the density of structures and the distance from the accident center have the strongest explanatory power for the vulnerability of physical hazard-bearing bodies. The explanatory power of these two factors is 0.515 and 0.464, respectively. High-risk areas result from the spatial overlap of high hazard and high vulnerability. The comprehensive regional risk resulting from the combination of accident consequences and vulnerability exhibits significant spatial variation. On the accident consequence map, the eastern part of the town near the hazard release point is the most dangerous area. However, owing to the low vulnerability of disaster-bearing bodies in the surrounding area of the release point, it is classified as a medium-risk zone on the comprehensive risk map.

Key words: consequences of hazardous chemical accidents, vulnerability, physical hazard-bearing body, risk assessment, hazard footprint

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