356
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Trends and correlation characteristics of coal mine gas explosion accident factors: a case study

ORCID Icon, , , , &
Received 20 Oct 2021, Accepted 02 Feb 2022, Published online: 13 Feb 2022
 

ABSTRACT

Most statistical analyses of coal mine explosion accidents involved single-factor problem assessment. To investigate the trend and correlation of accident causes, then implement targeted prevention and control measures for gas explosion accidents, explosion accidents that occurred in China’s coal mines in 2000–2020 were statistically analyzed. The results show that working face and transportation roadway are the main sites of explosions, accounting for 80.48% of all such incidents. The causes of ventilation failure are significantly reduced, and the windless breeze has become the most prominent cause of gas accumulation in recent years. Electrical sparks remain the highest ignition source, but the proportion of gas explosion accidents induced by illegal blasting is increasing. Gas explosion accidents in the working face which are accumulated by no breeze, ventilation failure, and detonation by electric sparks or blasting flames, are the most frequent. The roadway has the strongest correlation therewith. The statistical analysis provides a reference for the prevention of coal mine explosion accidents.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by the National Natural Science Foundation of China [grant numbers 51174200].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.