IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8443-d969986.html
   My bibliography  Save this article

Method Construction and Evaluation: A More Comprehensive and Reliable Classification of Coal Mine Gas Explosion Causes

Author

Listed:
  • Qingsong Jia

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology—Beijing, Beijing 100083, China)

  • Gui Fu

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology—Beijing, Beijing 100083, China)

  • Xuecai Xie

    (Department of Engineering Physics, Tsinghua University, Beijing 100080, China)

  • Shihan Hu

    (Gas Office, Changshu Housing and Urban-Rural Development Bureau, Suzhou 215500, China)

Abstract

Coal is an important fossil fuel energy that occupies a high position in the energy use of China and even the world. However, gas explosions are still the deadliest coal mine accident in China, which has long plagued the safety of energy mining. Only through accident cause analysis can we know the exact cause of the accident so as to make targeted policies, safety trainings, etc. However, the lack of detailed accident cause classification in current coal mine gas explosion accidents affects the comprehensiveness and accuracy of energy mining safety strategies. Therefore, in this study, a classification method for coal mine gas explosion accident causes based on the sixth edition 24Model and the three-element classification of gas explosions was proposed. Then, the consistency and validity of the newly established classification system were evaluated based on the three indicators, i.e., observer consistency, content validity, and criterion validity, and the performance of the classification system was verified. The results showed that the classification method exhibits good consistency and validity, and, compared with other classification methods, it can significantly improve the comprehensiveness of accident cause analysis results so as to obtain a more scientific energy mining safety strategy. In addition, the process used in this study to construct the classification and evaluate the performance of the classification is transferable, and it can provide a reference for the construction and evaluation of accident cause classifications in other fields.

Suggested Citation

  • Qingsong Jia & Gui Fu & Xuecai Xie & Shihan Hu, 2022. "Method Construction and Evaluation: A More Comprehensive and Reliable Classification of Coal Mine Gas Explosion Causes," Energies, MDPI, vol. 15(22), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8443-:d:969986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8443/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/22/8443/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ruipeng Tong & Yunyun Yang & Xiaofei Ma & Yanwei Zhang & Shian Li & Hongqing Yang, 2019. "Risk Assessment of Miners’ Unsafe Behaviors: A Case Study of Gas Explosion Accidents in Coal Mine, China," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Yang & Xue Wang & Junqi Zhu & Liyan Sun & Zhiyuan Qin, 2022. "Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD," IJERPH, MDPI, vol. 19(17), pages 1-29, August.
    2. Shuicheng Tian & Junrui Mao & Hongxia Li, 2022. "Disaster-Causing Mechanism of Hidden Disaster-Causing Factors of Major and Extraordinarily Serious Gas Explosion Accidents in Coal Mine Goafs," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    3. Lluís Sanmiquel-Pera & Marc Bascompta & Hernán Francisco Anticoi, 2019. "Analysis of a Historical Accident in a Spanish Coal Mine," IJERPH, MDPI, vol. 16(19), pages 1-11, September.
    4. Guirong Zhang & Wei Feng & Yu Lei, 2022. "Human Factor Analysis (HFA) Based on a Complex Network and Its Application in Gas Explosion Accidents," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    5. Jiao Liu & Shuang Li & Weijun Bao & Kun Xu, 2022. "Could the Management System of Safety Partnership Change Miners’ Unsafe Behavior?," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    6. Xiaoyi Yang & Boling Zhang & Lulu Wang & Lanxin Cao & Ruipeng Tong, 2021. "Exploring the Relationships between Safety Compliance, Safety Participation and Safety Outcomes: Considering the Moderating Role of Job Burnout," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    7. Guoshan Wu & Heqing Liu & Shixian Wu & Guanglei Liu & Caihang Liang, 2021. "Can Heart Rate Variability (HRV) Be Used as a Biomarker of Thermal Comfort for Mine Workers?," IJERPH, MDPI, vol. 18(14), pages 1-15, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8443-:d:969986. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.