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Quantitative analysis of seismic velocity tomography in rock burst hazard assessment

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Abstract

In order to quantitatively evaluate the relationship between the tomographic images of P wave velocity and rock burst hazard, the seismic velocity tomography was used to generate the P wave velocity tomograms during the retreat of a longwall panel in a coal mine. Subsequently, a novel index (bursting strain energy) was proposed to characterize the mining seismic hazard map. Finally, the structural similarity (SSIM) index in the discipline of image quality assessment was introduced to quantitatively assess the relation between the bursting strain energy index images and the tomographic images of P wave velocity. The results show that the bursting strain energy index is appropriate for quantitative analysis and seems to be better for expressing the mining seismic hazard than the conventional map. The SSIM values of the future bursting strain energy compared with the P wave velocity and the current bursting strain energy reach up to 0.8908 and 0.8462, respectively, which illustrate that the P wave velocity and the bursting strain energy both are able to detect the rock burst hazard region. Specifically, seismic velocity tomography is superior to the bursting strain energy index in the detection range and the precision and accuracy of detection results.

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Acknowledgments

The Institute of Rock Pressure (Henan Dayou Energy Limited Company) and the Yuejin coal mine provided the microseismic data. In particular, we would like to extend a special thanks to Dr. Li Xuwei, Dr. Qiao qiuqiu, and two reviewers for their useful comments and constructive suggestions, which greatly improved the quality of this manuscript. We gratefully acknowledge the financial support for this work provided by the National Natural Science Foundation of China (51174285, 51204165), the National Basic Research Program of China (2010CB226805), the Jiangsu Natural Science Foundation (BK20130183), and the Projects supported by the Priority Academic Program Development of Jiangsu Higher Education Institution (SZBF2011-6-B35).

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Authors and Affiliations

  1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, 221116, China

    Wu Cai, Linming Dou, Siyuan Gong & Zhenlei Li

  2. School of Mines, China University of Mining and Technology, Xuzhou, 221116, China

    Wu Cai, Linming Dou & Zhenlei Li

  3. Internet of Things (Perception Mine) Research Center, China University of Mining and Technology, Xuzhou, 221008, China

    Shasha Yuan

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  1. Wu Cai
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  2. Linming Dou
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  3. Siyuan Gong
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  4. Zhenlei Li
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  5. Shasha Yuan
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Correspondence to Linming Dou or Siyuan Gong.

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Cai, W., Dou, L., Gong, S. et al. Quantitative analysis of seismic velocity tomography in rock burst hazard assessment. Nat Hazards 75, 2453–2465 (2015). https://doi.org/10.1007/s11069-014-1443-6

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