School of Business, East China University of Science and Technology, Shanghai 200237, China.
Int J Environ Res Public Health. 2021 Sep 17;18(18):9780. doi: 10.3390/ijerph18189780.
Hazardous materials shipments are integral to the development of industrial countries. Significant casualties and severe environmental pollution quickly ensue when accidents occur. Currently, relevant research on risk assessment of hazardous materials' road transportation remains limited when both the population exposure risk and environmental risk are considered, especially in regard to analyzing the differences of accident impacts in different populations and environments. This paper adopts a Gaussian plume model to simulate dynamic areas at three levels of population exposure and assesses the pollution scope of air, groundwater, lakes, and rivers with a variety of diffusion models. Then, we utilize various costs to analyze the differences of accident impacts in population exposure and environmental pollution. Finally, a risk assessment model of hazardous materials road transportation under time-varying conditions is presented by considering the bearing capacity of the assessed area. Furthermore, this model is applied to a case study involving a risk assessment of hazardous materials transportation of a highly populated metropolitan area of Shanghai, China. The resulting analyses reveal that the safety of hazardous materials transportation could be effectively improved by controlling certain model parameters and avoiding road segments with a high risk of catastrophic accident consequences.
危险物品运输是工业国家发展的重要组成部分。当事故发生时,会迅速造成重大人员伤亡和严重的环境污染。目前,在考虑人口暴露风险和环境风险时,有关危险物品道路运输风险评估的相关研究仍然有限,特别是在分析不同人群和环境中事故影响的差异方面。本文采用高斯烟羽模型模拟了三个人口暴露水平的动态区域,并利用多种扩散模型评估了空气、地下水、湖泊和河流的污染范围。然后,我们利用各种成本来分析人口暴露和环境污染中事故影响的差异。最后,通过考虑评估区域的承载能力,提出了一个时变条件下危险物品道路运输的风险评估模型。此外,该模型应用于一个涉及中国上海人口稠密大都市区危险物品运输风险评估的案例研究。分析结果表明,通过控制某些模型参数和避免具有灾难性事故后果高风险的路段,可以有效提高危险物品运输的安全性。