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Open AccessArticle

Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam

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School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 100083, China
3
Zhong-an Academy of Safety Engineering, Beijing 100083, China
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School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
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State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
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Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
*
Author to whom correspondence should be addressed.
Academic Editor: Richard Coffin
Energies 2021, 14(4), 1186; https://doi.org/10.3390/en14041186
Received: 18 November 2020 / Revised: 2 January 2021 / Accepted: 31 January 2021 / Published: 23 February 2021
Early warning of a potential rockburst risk and its area of occurrence helps to take effective and targeted measures to mitigate rockburst hazards. This study investigates the microseismic (MS) spatial-temporal precursory characteristic parameters in a typical steeply inclined and extremely thick coal seam (SIETCS) with high rockburst risk and proposes three spatial/temporal quantification parameters and a spatial-temporal early warning method. Analysis results of temporal parameters show that the sharp-rise-sharp-drop variation in total daily energy and event count can be regarded as a precursor for high energy tremor. The appearance of peak values of both energy deviation (≥20) and event count deviation (≥1) can be regarded as precursors that indicate imminent rockburst danger. A laboratory acoustic emission (AE) experiment reveals that precursor characteristics obtained from the study can be feasibly used to warn the rockburst risk. The spatial evolution laws of spatial parameters show that the high energy density index of MS (EDIM), velocity, velocity anomaly regions correlate well with stress concentration and rockburst risk areas. The field application verifies that the temporal-spatial early warning method can identify the potential rockburst risk in a temporal sequence and rockburst risk areas during the temporal early warning period. View Full-Text
Keywords: rockburst; steeply inclined coal seam; microseismic precursor information; passive velocity tomography; risk area; temporal-spatial early warning method rockburst; steeply inclined coal seam; microseismic precursor information; passive velocity tomography; risk area; temporal-spatial early warning method
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MDPI and ACS Style

Li, Z.; He, S.; Song, D.; He, X.; Dou, L.; Chen, J.; Liu, X.; Feng, P. Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam. Energies 2021, 14, 1186. https://doi.org/10.3390/en14041186

AMA Style

Li Z, He S, Song D, He X, Dou L, Chen J, Liu X, Feng P. Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam. Energies. 2021; 14(4):1186. https://doi.org/10.3390/en14041186

Chicago/Turabian Style

Li, Zhenlei; He, Shengquan; Song, Dazhao; He, Xueqiu; Dou, Linming; Chen, Jianqiang; Liu, Xudong; Feng, Panfei. 2021. "Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam" Energies 14, no. 4: 1186. https://doi.org/10.3390/en14041186

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