中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (4): 34-40.doi: 10.16265/j.cnki.issn1003-3033.2021.04.005

• 安全社会科学与安全管理 • 上一篇    下一篇

我国隧道瓦斯事故统计及影响因素分析

王海洋1,2 副教授, 赵树磊**1, 陈祥1, 王杰1, 周宴民1   

  1. 1 重庆交通大学 土木工程学院,重庆 400074;
    2 重庆交通大学 山区桥梁与隧道工程国家重点实验室,重庆 400074
  • 收稿日期:2021-01-20 修回日期:2021-03-15 出版日期:2021-04-28 发布日期:2021-12-20
  • 通讯作者: **赵树磊(1997—),男,内蒙古赤峰人,硕士研究生,主要研究方向为隧道通风、工程灾害防治。E-mail: zhaoshulei_cq@163.com。
  • 作者简介:王海洋 (1988—),男,山东淄博人,博士,副教授,主要从事水力压裂、工程灾害预测与防治方面的研究。E-mail: wanghaiyang12@ yeah.net。
  • 基金资助:
    重庆市教委科学技术研究项目(KJQN201800729);重庆交通大学硕士研究生科研创新项目(2020S0022)。

Statistics and influencing factors analysis of tunnel gas accidents in China

WANG Haiyang1,2, ZHAO Shulei1, CHEN Xiang1, WANG Jie1, ZHOU Yanmin1   

  1. 1 School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
    2 State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2021-01-20 Revised:2021-03-15 Online:2021-04-28 Published:2021-12-20

摘要: 为了解我国隧道瓦斯事故分布特征、发展趋势及其影响因素,统计1949—2019年我国瓦斯隧道以及相关瓦斯事故现有数据,并运用图表分析法总结隧道瓦斯事故,归纳我国隧道瓦斯事故类型、事故后果、事故发生地域、事故发生时间的分布特征及发展趋势特征,进而采用灰色关联法对发生过不同等级事故的8个典型隧道进行影响因素分析。研究结果表明:我国隧道瓦斯事故分布区域主要集中在西南地区,其他地区相对较少;事故类型以瓦斯爆炸为主,且事故后果最为严重;影响隧道瓦斯事故的主要因素依次为围岩瓦斯含量、地层岩性、地质构造、地下水出露程度、隧道埋深。

关键词: 隧道, 瓦斯事故, 事故统计, 灰色关联法, 影响因素

Abstract: In order to explore distribution law, development trend and influencing factors of tunnel gas accidents in China, all data of gas tunnels and related accidents in China from 1949 to 2019 were gathered. Then, chart analysis method was used to summarize the accidents, and distribution and development trend characteristics of accident type, accident consequence, occurrence area and timing were summed up. Finally, influencing factors of 8 typical tunnels which witnessed accidents at various levels were analyzed by grey correlation method. The results show that tunnel gas accidents majorly distribute in southeastern China while other regions have less. And the main accident type is gas explosion which leads to the severest consequences. It is also found that key influence indexes of tunnel gas accidents include gas content in surrounding rock, stratum lithology, geological structure, groundwater exposure degree and buried depth of tunnels in turn.

Key words: tunnel, gas accident, accidental statistics, grey correlation method, influencing factors

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