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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 12 - 2024 | doi: 10.3389/feart.2024.1469834

Risk Assessment of Goaf Instability Based on a Variable Weight Model

Provisionally accepted
Linning Guo Linning Guo 1,2*Kepeng Hou Kepeng Hou 1,2*Huafen Sun Huafen Sun 1,2Yong Yang Yong Yang 1,2
  • 1 Yunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space, Kunming University of Science and Technology, Kunming, China
  • 2 Kunming University of Science and Technology, Department of Resource Development Engineering, Kunming, China

The final, formatted version of the article will be published soon.

    Goaf instability poses significant hazards, that affect mine safety and public welfare. This study aims to evaluate the risk of goaf instability to enhance safety measures in mining operations. Thirteen key indicators were identified to construct a comprehensive evaluation index system for the risk of goaf instability. By integrating game theory, we combined subjective and objective weights to develop a constant weight model. Subsequently, we improved this model by considering data distribution characteristics to develop a local variable weight model. The variable weight intervals were determined through cumulative frequency analysis of the normalized factor indices, and the Monte Carlo method was employed to define weight adjustment parameters. Using the cloud model, we assessed the instability risk of goafs. Our results indicate that the variable weight model provides higher evaluation accuracy compared to the constant weight model, offering clearer and more distinguishable membership degrees for the evaluation outcomes.

    Keywords: Goaf, Risk Assessment, Constant weight model, Variable weight model, variable weight interval, weight adjustment parameters

    Received: 24 Jul 2024; Accepted: 16 Sep 2024.

    Copyright: © 2024 Guo, Hou, Sun and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Linning Guo, Yunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space, Kunming University of Science and Technology, Kunming, China
    Kepeng Hou, Kunming University of Science and Technology, Department of Resource Development Engineering, Kunming, China

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