Statistical Precursor of Induced Seismicity Using Temporal and Spatial Characteristics of Seismic Sequence in Mines

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Advances in Acoustic Emission Technology (WCAE 2017)

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Abstract

Induced seismicity associated with mining is becoming an increasingly important issue worldwide, and it poses a hazard to the exposed population and structures. In this work, the seismic sequence is analyzed with the aim of detecting changes in statistical parameters describing the seismic event occurrence before the main shocks, to be used for monitoring the sequence evolution. Temporal and spatial characteristics of seismic sequence before the large magnitude seismic events (M W > 1) in mines are used to investigate the precursor of large magnitude. The statistical results of 25 from 27 large magnitude seismic events implicate the following characteristics of precursor seismicity before the occurrence of the large magnitude seismic event of the sequence: Cumulative Benioff strain increases continuously. The Hurst exponent for the foreshocks is greater than 0.5. There is initially an increase in b value then a decrease. Three cases related to the statistical precursor are presented and discussed in the paper. The observed temporal and spatial variations of three selected indexes including b value, Hurst exponent, and cumulative Benioff strain support the hypothesis that three indexes have significant potential of statistical precursor.

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Acknowledgment

The authors wish to acknowledge financial support from the National Natural Science Foundation of China (51504288), National Basic Research Program of China (2015CB060200), China Postdoctoral Science Foundation (2015M570688, 2016T90639), The Young Elite Scientists Sponsorship Program by CAST (YESS20160175), and Innovation-Driven Project of Central South University (2016CXS001).

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Dong, L., Sun, D., Shu, W., Li, X., Zhang, L. (2019). Statistical Precursor of Induced Seismicity Using Temporal and Spatial Characteristics of Seismic Sequence in Mines. In: Shen, G., Zhang, J., Wu, Z. (eds) Advances in Acoustic Emission Technology. WCAE 2017. Springer Proceedings in Physics, vol 218. Springer, Cham. https://doi.org/10.1007/978-3-030-12111-2_38

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