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A Coal Burst Risk Assessment Model of Seismic Events Based on Multiple Seismic Source Parameters: A Case Study of the Huating Coal Mine, Gansu Province, China

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Abstract

Mining-induced tremors are indispensable events that gestate and trigger coal bursts. The radiated energy is usually considered a key index to assess coal burst risk of seismic events. This paper presents a model to assess coal burst risk of seismic events based on multiple seismic source parameters. By considering the distribution and relation laws of the seismic source parameters of coal bursts, the model aims to identify dangerous seismic events that more closely match the characteristics of multiple seismic source parameters of coal bursts. The new coal burst risk index T is proposed. It consists of the similarity index SI (representing the similarity degree of relations between seismic events and coal burst events based on seismic source parameters) and the strength index ST (representing the burst strength of seismic events). We studied 79 coal burst events that occurred during extraction in LW250105 of the Huating coal mine in Gansu Province, China. We obtained the distribution and relation laws of multiple seismic source parameters of coal burst events to establish SI and ST. Two groups of seismic events with different energy distributions were examined to compare the assessment results based on the new model and energy criteria. The results show that 80% and 89% of seismic events with strong coal burst risk in Groups A and B, respectively, were coincident, and the seismic events with medium coal burst risk were slightly less compared to those based on radiated energy. The results indicate that the assessment based on the T value is a modification and optimization of that based on radiated energy. This model is conducive to improving the efficiency of monitoring and early warning of coal burst risk.

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Acknowledgments

This research was supported by National Natural Science Foundation of China under Grant Nos. 51734009 and 51674253 and Major Science and Technology Innovation Program of Shandong Province under Grant No. 2019SDZY02. These supports are gratefully acknowledged.

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Authors and Affiliations

  1. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China

    Fan Chen & Zhengzhao Liang

  2. Center of Rock Instability and Seismicity Research, Dalian University of Technology, Dalian, 116024, Liaoning, China

    Fan Chen & Zhengzhao Liang

  3. Key Laboratory of Deep Coal Resource Mining, Ministry of Education, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Anye Cao & Yaoqi Liu

Authors
  1. Fan Chen
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  2. Anye Cao
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  3. Zhengzhao Liang
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  4. Yaoqi Liu
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Correspondence to Anye Cao.

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Chen, F., Cao, A., Liang, Z. et al. A Coal Burst Risk Assessment Model of Seismic Events Based on Multiple Seismic Source Parameters: A Case Study of the Huating Coal Mine, Gansu Province, China. Nat Resour Res 30, 4515–4532 (2021). https://doi.org/10.1007/s11053-021-09938-x

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  • DOI: https://doi.org/10.1007/s11053-021-09938-x

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