IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i12p5520-d1679700.html
   My bibliography  Save this article

Disaster Chain Evolution and Risk Mitigation in Non-Coal Underground Mines with Fault Zones: A Complex Network Approach

Author

Listed:
  • Songtao Yu

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Jiangxi Provincial Key Laboratory of Safe and Efficient Mining of Rare Metal Resource, Jiangxi University of Science and Technology, Ganzhou 341000, China
    Center for Emergency Management and Multidisciplinary Innovation Research, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Yuxian Ke

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Qian Kang

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Wenzhe Jin

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Haifeng Zhong

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Danyan Cheng

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Fading Wu

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Hongwei Deng

    (School of Resource and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

The prevention and control of disasters in underground mines is a key task to ensure sustainable mining production and the development of society. The disaster chain brings cascading and clustering characteristics to disasters and leads to the expansion of their impacts and losses. It brings great difficulties to disaster prevention and control. This paper focuses on the disaster chain of a non-coal underground mine. It analyzes disaster events triggered by artificial mining activities based on a literature review, expert investigation, and field research. Subsequently, it constructs a complex network model of disaster chains containing 44 disaster nodes and 136 connecting edges. Then it performed a quantitative analysis of the complex network model, and studied complex network model parameters including degree, number of subnets, intermediate centrality, node importance, average path length, edge betweenness, connectivity, and edge vulnerability. On that basis, this paper reveals that the top five key nodes of the disaster chain are surface subsidence (H4), industrial site destruction (H7), well flooding (H21), equipment damage (H8), and living area damage (H11). It also reveals that the top five key edges of the disaster chain are mine water inrush (H6)→well flooding (H21), surface subsidence (H4)→industrial site destruction (H7), underground space failure (H3)→industrial site destruction (H7), gob collapse (H2)→surface subsidence (H4), and gob collapse (H2)→landslide (H5). Finally, this paper proposes specific chain-breaking disaster mitigation measures. Implementing these actions can play a pivotal role in mitigating the impact of mine disasters, preserving lives, and sustaining regional prosperity.

Suggested Citation

  • Songtao Yu & Yuxian Ke & Qian Kang & Wenzhe Jin & Haifeng Zhong & Danyan Cheng & Fading Wu & Hongwei Deng, 2025. "Disaster Chain Evolution and Risk Mitigation in Non-Coal Underground Mines with Fault Zones: A Complex Network Approach," Sustainability, MDPI, vol. 17(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5520-:d:1679700
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/12/5520/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/12/5520/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Melanie Kappes & Margreth Keiler & Kirsten Elverfeldt & Thomas Glade, 2012. "Challenges of analyzing multi-hazard risk: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1925-1958, November.
    2. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    3. Qingjie Qi & Bingqian Yan & Wengang Liu & Bo Zhang & Jianzhong Liu, 2022. "Study on the Mechanism and Chain Generation Relationship of Geological Disaster Secondary Coal Mine Accidents," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    4. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    5. Songtao Yu & Houdong Liu & Qian Kang & Juan Cheng & Yingli Gong & Yuxian Ke, 2024. "Research on the Fire Resilience Assessment of Ancient Architectural Complexes Based on the AHP-CRITIC Method," Sustainability, MDPI, vol. 16(18), pages 1-20, September.
    6. Hai-xiang Guo & Xin-yu He & Xin-biao Lv & Yang Wu, 2024. "Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(12), pages 10583-10606, September.
    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. Chung-Yuan Huang & Chuen-Tsai Sun & Hsun-Cheng Lin, 2005. "Influence of Local Information on Social Simulations in Small-World Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-8.
    2. Huang, Wei & Chen, Shengyong & Wang, Wanliang, 2014. "Navigation in spatial networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 132-154.
    3. Reppas, Andreas I. & Spiliotis, Konstantinos & Siettos, Constantinos I., 2015. "Tuning the average path length of complex networks and its influence to the emergent dynamics of the majority-rule model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 109(C), pages 186-196.
    4. Wang, Difei & Jian, Lirong & Cao, Fengyuan & Xue, Chenyan, 2022. "An extended scale-free network evolution model based on star-like coupling motif embedding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    5. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    6. David L. Alderson, 2008. "OR FORUM---Catching the “Network Science” Bug: Insight and Opportunity for the Operations Researcher," Operations Research, INFORMS, vol. 56(5), pages 1047-1065, October.
    7. Lucas Cuadra & Miguel Del Pino & José Carlos Nieto-Borge & Sancho Salcedo-Sanz, 2017. "Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms," Energies, MDPI, vol. 10(8), pages 1-31, July.
    8. Liang, Wei & Shi, Yuming & Huang, Qiuling, 2014. "Modeling the Chinese language as an evolving network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 268-276.
    9. Chen, Lei & Yue, Dong & Dou, Chunxia, 2019. "Optimization on vulnerability analysis and redundancy protection in interdependent networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1216-1226.
    10. Mohamed Marwan Al Heib & Christian Franck & Hippolyte Djizanne & Marie Degas, 2023. "Post-Mining Multi-Hazard Assessment for Sustainable Development," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    11. Chaofeng Shao & Juan Yang & Xiaogang Tian & Meiting Ju & Lei Huang, 2013. "Integrated Environmental Risk Assessment and Whole-Process Management System in Chemical Industry Parks," IJERPH, MDPI, vol. 10(4), pages 1-22, April.
    12. Yan Qiang & Bo Pei & Weili Wu & Juanjuan Zhao & Xiaolong Zhang & Yue Li & Lidong Wu, 2014. "Improvement of path analysis algorithm in social networks based on HBase," Journal of Combinatorial Optimization, Springer, vol. 28(3), pages 588-599, October.
    13. Pi, Xiaochen & Tang, Longkun & Chen, Xiangzhong, 2021. "A directed weighted scale-free network model with an adaptive evolution mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    14. Marcus Berliant & Axel H. Watanabe, 2018. "A scale‐free transportation network explains the city‐size distribution," Quantitative Economics, Econometric Society, vol. 9(3), pages 1419-1451, November.
    15. Stephanie Rend'on de la Torre & Jaan Kalda & Robert Kitt & Juri Engelbrecht, 2016. "On the topologic structure of economic complex networks: Empirical evidence from large scale payment network of Estonia," Papers 1602.04352, arXiv.org.
    16. Yoshiharu Maeno & Kenji Nishiguchi & Satoshi Morinaga & Hirokazu Matsushima, 2014. "Impact of credit default swaps on financial contagion," Papers 1411.1356, arXiv.org.
    17. Rabbani, Fereshteh & Khraisha, Tamer & Abbasi, Fatemeh & Jafari, Gholam Reza, 2021. "Memory effects on link formation in temporal networks: A fractional calculus approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    18. Gabrielle Demange, 2012. "On the influence of a ranking system," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 39(2), pages 431-455, July.
    19. An, Sufang & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Sun, Qingru & Jia, Nanfei, 2020. "Dynamic volatility spillovers among bulk mineral commodities: A network method," Resources Policy, Elsevier, vol. 66(C).
    20. Cheng, Ranran & Peng, Mingshu & Yu, Weibin, 2014. "Pinning synchronization of delayed complex dynamical networks with nonlinear coupling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 426-431.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:17:y:2025:i:12:p:5520-:d:1679700. 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.