Innovative Methods and Insights into Coal Mine Fire Prevention

Special Issue Editors

School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing, China
Interests: coal fire; coal spontaneous combustion; fire safety; fire detection; tunnel fire

E-Mail Website
Guest Editor
School of Safety Science, Tsinghua University, Beijing, China
Interests: coal mine road-way fire; tunnel fire; safety management

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Wuhan Institute of Technology, Wuhan, China
Interests: coal fire; coal spontaneous combustion; fire detection; coal and gas outburst
School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan, China
Interests: coal spontaneous combustion; fire prevention

Special Issue Information

Dear Colleagues,

Coal mine fires represent a multifaceted challenge involving complex thermal–fluid–chemical coupling interactions. These hazards are primarily categorized into two types: endogenous fires, initiated by coal spontaneous combustion driven by coal–oxygen reactions, and exogenous fires, triggered by external sources such as conveyor belt friction, electrical cable faults, and fuel combustion. Both types pose catastrophic threats to personnel safety and resource utilization efficiency.

This Special Issue aims to showcase innovative advancements in the prevention and control of such disasters. We particularly encourage contributions focusing on advanced fire monitoring, early warning, and prediction systems. Research utilizing machine learning algorithms to identify precursor anomalies and predict fire evolution is particularly welcomed.

The scope of this Special Issue also encompasses efficient fire prevention and suppression technologies, as well as critical research on smoke movement and ventilation control, which is indispensable for disaster mitigation and personnel evacuation in confined underground spaces.

Finally, we also encourage submissions that utilize multi-scale and multi-physics simulation to reconstruct fire scenarios or reveal underlying mechanisms. Whether through theoretical modeling, laboratory experiments, or field case studies, we invite original research articles and reviews to advance the state of the art in mine fire safety.

Dr. Baolin Qu
Dr. Jingxin Wang
Dr. Xiyang Fang
Dr. Lintao Hu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • endogenous fire (coal spontaneous combustion)
  • exogenous fire (belt, cable, and fuel fires)
  • fire monitoring, early warning, and prediction
  • fire prevention and suppression technologies
  • smoke movement and ventilation control
  • machine learning in fire safety
  • multi-scale and multi-physics simulation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop