基于故障树方法的机动车燃油大气环境风险评价：以杭州市为例

黄卫清; 徐平如; 钱宇

doi:10.11949/j.issn.0438-1157.20181007

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基于故障树方法的机动车燃油大气环境风险评价：以杭州市为例

过程系统工程 | 更新时间：2026-07-24

- 基于故障树方法的机动车燃油大气环境风险评价：以杭州市为例
- Atmospheric environment risk analysis of oil consuming by vehicles based on FTA method: taking Hangzhou as a case study
- 化工学报 2019年70卷第2期页码：661-669
- 作者机构：
  
  1.东莞理工学院生态环境与建筑工程学院，广东东莞 523808
  2.华南理工大学广东省绿色化学产品技术重点实验室，广东广州 510640
- 作者简介：
  
  黄卫清(1983—)，男，博士，副教授，huangwq@dgut.edu.cn
- 基金信息：
  
  国家自然科学基金项目(21706029;21736004);广东省绿色化学产品技术重点实验室开放基金(GC201817)
- DOI：10.11949/j.issn.0438-1157.20181007
  中图分类号： TQ 021.8
- 收稿：2018-09-10，
  
  修回：2018-10-16，
  
  网络首发：2020-06-16，
  
  纸质出版：2019-02-05
- 稿件说明：
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黄卫清, 徐平如, 钱宇. 基于故障树方法的机动车燃油大气环境风险评价：以杭州市为例[J]. 化工学报, 2019, 70(2): 661-669

HUANG Weiqing, XU Pingru, QIAN Yu. Atmospheric environment risk analysis of oil consuming by vehicles based on FTA method: taking Hangzhou as a case study[J]. CIESC Journal, 2019, 70(2): 661-669
黄卫清, 徐平如, 钱宇. 基于故障树方法的机动车燃油大气环境风险评价：以杭州市为例[J]. 化工学报, 2019, 70(2): 661-669 DOI： 10.11949/j.issn.0438-1157.20181007.

HUANG Weiqing, XU Pingru, QIAN Yu. Atmospheric environment risk analysis of oil consuming by vehicles based on FTA method: taking Hangzhou as a case study[J]. CIESC Journal, 2019, 70(2): 661-669 DOI： 10.11949/j.issn.0438-1157.20181007.

摘要

由于城市化、工业化和机动车数量的快速增长，灰霾天气已成为中国许多大城市亟待解决的严重环境污染问题。大量石油燃料消耗产生的机动车尾气排放可能是引起城市灰霾污染的一个关键因素。以长江三角洲的代表性城市杭州市为具体案例，探索将安全工程领域的故障树方法应用在机动车燃油尾气排放大气环境风险评价和与灰霾天气的致因机理分析上。通过辨识导致城市机动车尾气过量排放的关键风险因子，构建了杭州市“灰霾天气–机动车尾气过量排放”的故障树。另外采用结构、概率以及临界重要度分析，对关键风险因子对顶上事件“灰霾天气–机动车尾气过量排放”的贡献和影响程度进行了定性和定量分析。分析结果表明，过量机动车使用，严重的交通堵塞、高污染机动车的不当使用以及监管不严是对杭州市机动车尾气过量排放影响较大的关键风险因子。可为城市机动车燃油环境风险因子评价以及管理提供一种简洁有效的方法和思路。

Abstract

Due to the urbanization

industrialization and rapid growth of vehicles

haze weather has become a serious environmental problem that needs to be controlled urgently in many Chinese megacities. Vehicle exhaust emissions from large amounts of petroleum fuel consumption may be a key factor in causing urban ash pollution. In this work

the fault tree analysis (FTA) method is investigated and employed for the risk assessment and causation mechanism of urban haze related to vehicle emissions in Hangzhou. After identifying all important risk factors

a haze fault tree system of “haze weather–excess emission of vehicle exhausts” is established by using the deductive FTA method. Based on the structure

probability and critical importance degree analysis

the contribution and effect of basic risk factors to the top event “haze weather-excess emission of vehicle exhausts” in Hangzhou is also carried out. The analysis results showed that “excess vehicles”

“severe traffic jam”

“high pollution vehicle’s using” and “supervision defect” were the most important risk factors for causing excess emission of vehicle exhausts in Hangzhou. This study may provide a concise and effective method for environmental risk assessment and management of oil consuming by vehicles related to urban haze in China.

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Keywords

references

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