Research on the floor water inrush risk index model based on game theory: a case study in a coal mine, China

Scientific Reports

卷:16

Article

Qiang Li^1,2,3  Changde Yang^1,2,3  Chenghang Zhang¹  Chunge Li⁴  Hongbao Yu⁵ 

[1] School of Safety Science and Engineering, Xinjiang Institute of Engineering, 830023, Urumqi, Xinjiang, China

[2] School of Civil Engineering, Xinjiang Institute of Engineering, 830023, Urumqi, Xinjiang, China

[3] School of Mining Engineering and Geology, Xinjiang Institute of Engineering, 830023, Urumqi, Xinjiang, China

[4] Key Laboratory of Xinjiang Coal Resources Green Mining (Xinjiang Institute of Engineering), Ministry of Education, 830023, Urumqi, China

[5] Xinjiang Engineering Research Center of Green Intelligent Coal Mining, Xinjiang Institute of Engineering, 830023, Urumqi, China

关键词: Water inrush;    TOPSIS;    Comprehensive weight;    Evaluation model;    Coal mine;   

DOI  :  10.1038/s41598-026-57401-9

 received in 2026-04-18, accepted in 2026-06-05,  发布年份 2026

来源: Springer

【 摘 要 】

Coal seam floor water inrush is a severe geological hazard during deep mining. Its complexity and suddenness pose challenges to traditional prediction methods for water inrush risk. Taking Huatai coal mine as an example, this study proposed a technique for order preference by similarity to an ideal solution (TOPSIS) combined weighting floor water inrush risk index model based on game theory optimization algorithm. Firstly, an evaluation factor system for water inrush was established by combining experience and field practice. And then the weights of evaluation factors were determined using principal component analysis (PCA) and variation coefficient method (VCM). Finally, a TOPSIS water inrush evaluation model was established to divide the water inrush risk zones with GIS. The results show that the method has a high degree of fit with the actual situation, which has certain guiding value for the prevention and control of coal floor water inrush.

【 授权许可】

CC BY-NC-ND   
© The Author(s) 2026

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