<p>To address the frequent occurrence of high-energy events and elevated rockburst risk in structurally developed mines, this study investigates the WⅡ02040502 working face of Tunbao Coal Mine using high-precision microseismic monitoring data over the entire mining period. The spatiotemporal evolution and multi-parameter response characteristics of microseismic activity were systematically analyzed. A microseismic energy-frequency density cloud map was constructed to reveal clustering patterns in fault-dense zones and along the upper roadway. The coordinated anomalous responses of the b-value, A(b), P(b), and S indices before high-energy events were examined. In addition, the microseismic energy concentration zone was compared with the abutment pressure range derived from elastoplastic theory. Results show that microseismic activity exhibits a zonal clustering pattern jointly affected by fault development and mining-induced stress redistribution, with high-energy and high-frequency events concentrated in the upper roadway and fault-dense areas, consistent with the influence range of advanced abutment pressure. Before the occurrence of high-energy events, multiple parameters exhibited coordinated anomalous responses. Among them, an increase in the b-value, a decrease in A(b), and abnormal fluctuations in the S index may serve as potential combined warning characteristics under the specific geological and mining conditions of the studied working face. The microseismic energy concentration zone is mainly distributed 60–120&#xa0;m ahead of the working face, significantly exceeding the theoretical abutment pressure range (27.78&#xa0;m). This discrepancy reflects differences between idealized theoretical assumptions and actual geological conditions, as well as the extended effect of cumulative rock mass damage. These findings provide a scientific basis for identifying rockburst-prone zones, optimizing advanced support, and improving real-time hazard warning.</p>

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Spatial-Temporal Evolution and Multi-Parameter Response Characteristics of Microseismic Zoning in Fault Development Working Face

  • Rentao Gou,
  • Zhenlei Li,
  • Xueqiu He,
  • Dazhao Song,
  • Ping Wang,
  • Anliang Lu,
  • Kang Li

摘要

To address the frequent occurrence of high-energy events and elevated rockburst risk in structurally developed mines, this study investigates the WⅡ02040502 working face of Tunbao Coal Mine using high-precision microseismic monitoring data over the entire mining period. The spatiotemporal evolution and multi-parameter response characteristics of microseismic activity were systematically analyzed. A microseismic energy-frequency density cloud map was constructed to reveal clustering patterns in fault-dense zones and along the upper roadway. The coordinated anomalous responses of the b-value, A(b), P(b), and S indices before high-energy events were examined. In addition, the microseismic energy concentration zone was compared with the abutment pressure range derived from elastoplastic theory. Results show that microseismic activity exhibits a zonal clustering pattern jointly affected by fault development and mining-induced stress redistribution, with high-energy and high-frequency events concentrated in the upper roadway and fault-dense areas, consistent with the influence range of advanced abutment pressure. Before the occurrence of high-energy events, multiple parameters exhibited coordinated anomalous responses. Among them, an increase in the b-value, a decrease in A(b), and abnormal fluctuations in the S index may serve as potential combined warning characteristics under the specific geological and mining conditions of the studied working face. The microseismic energy concentration zone is mainly distributed 60–120 m ahead of the working face, significantly exceeding the theoretical abutment pressure range (27.78 m). This discrepancy reflects differences between idealized theoretical assumptions and actual geological conditions, as well as the extended effect of cumulative rock mass damage. These findings provide a scientific basis for identifying rockburst-prone zones, optimizing advanced support, and improving real-time hazard warning.