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contributor authorChongwei Yan
contributor authorYu-Yong Jiao
contributor authorYingshi Gu
contributor authorJunpeng Zou
contributor authorQuan Zhang
contributor authorZhen Wu
date accessioned2025-08-17T23:07:20Z
date available2025-08-17T23:07:20Z
date copyright5/1/2025 12:00:00 AM
date issued2025
identifier otherIJGNAI.GMENG-10786.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307935
description abstractAs a consequence of the ongoing expansion of coal mining operations in China, the geological conditions encountered in these operations have become increasingly complex. Mining-induced seismicity is a frequent occurrence, resulting in significant economic losses. A total of 12,000+ mining-induced seismic events have been recorded during deep coal mining in the Ordos Mining Area. This study examines the distribution pattern of mining-induced seismicity and analyzes the aftershock attenuation and seismic migration patterns of mining-induced seismic events based on typical mining-induced seismic sequences. The findings demonstrate that the modified Omori law offers a clear description of the decay pattern of aftershocks triggered by strong mining-induced seismicity. Over time, the magnitude and frequency of the aftershocks exhibit a decay pattern consistent with a t−p law. The power law GR relationship is applicable to the mining-induced seismic sequence. In advance of a strong mining-induced seismicity, the b-value will decline below the norm (1.0–1.1) and the number of microseisms will rise markedly, indicating the commencement of the nucleation phase. Such signals may be regarded as an indicator of an impending strong mining-induced seismicity. The seismic migration rate in the Ordos Mining Area, which is influenced by the geological environment, has been observed to be relatively stable at approximately 65 m/day. The mining-induced seismic migration and diffusion laws provide a theoretical explanation for the phenomenon of coordinated fracture of overlying key strata.
publisherAmerican Society of Civil Engineers
titleStrong Mining-Induced Seismicity Characteristics and Precursor Signals Based on Statistical Seismology
typeJournal Article
journal volume25
journal issue5
journal titleInternational Journal of Geomechanics
identifier doi10.1061/IJGNAI.GMENG-10786
journal fristpage04025070-1
journal lastpage04025070-13
page13
treeInternational Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 005
contenttypeFulltext


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