基于地理信息系统的爆炸物道路运输事故损害评估方法

Jing Zhao, Ning Liu, Junhui Li, Xi Guo, Hongtao Deng, Jinshan Sun
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摘要

爆炸物的公路运输因其对社会安全的重大影响而备受关注。对于爆炸物运输的安全管理,如运输路线规划和应急救援,爆炸后果评估至关重要。爆炸事故的后果评估受到很多因素的影响,尤其是空间特征,如运输车辆的位置、建筑物的分布、道路周围是否有人员等。然而,目前仍缺乏建筑物损害评估的量化方法、考虑实时人口密度的人员伤亡评估方法以及高效的交互式损害评估方法。在本文中,我们正式提出了爆炸性道路运输事故损害评估的三种典型场景,即基于爆炸点的损害评估、基于路段的损害评估和基于路线的损害评估。针对每种情况,我们提出了高度感知分层建筑物损害(HHBD)模型和庇护所感知人员伤亡(SHC)模型,分别用于建筑物损害评估和人员伤亡评估。我们还开发了一个基于 GIS 的交互式可视化平台,该平台整合了多源地理空间数据,可实现高效的地理空间计算。此外,我们还对武汉的液化天然气(LNG)运输进行了案例研究,以验证所提系统的有效性和效率。研究成果可为爆炸物运输安全预警和应急救援决策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A GIS-Based Damage Evaluation Method for Explosives Road Transportation Accidents
The road transportation of explosives is highly concerning due to its substantial impact on social safety. For the safety management of explosive transportation, e.g., transport route planning and emergency rescue, explosion consequence evaluation is of paramount importance. The consequence evaluation of explosion accidents is affected by many factors, especially spatial features, such as the location of transport vehicles, the distribution of buildings, and the presence of individuals around the road, etc. However, there is still a lack of quantification methods for building damage evaluation, human casualty evaluation that considers real-time population density, and efficient interactive damage evaluation methods. In this paper, we formalize three typical scenarios of damage evaluation for explosive road transportation accidents, i.e., explosion point-based, road segment-based, and route-based damage evaluation. For each scenario, we propose a Height-aware Hierarchical Building Damage (HHBD) model and a Shelter-aware Human Casualty (SHC) model for building damage evaluation and human casualty evaluation, respectively. We also develop a GIS-based interactive visualization platform that integrates multi-source geospatial data and that enables efficient geospatial computation. In addition, a case study of liquefied natural gas (LNG) transportation in Wuhan is demonstrated in order to verify the effectiveness and efficiency of the proposed system. The research results can support the decision-making process of explosive transportation safety warnings and emergency rescue.
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