China Safety Science Journal ›› 2026, Vol. 36 ›› Issue (6): 102-109.doi: 10.16265/j.cnki.issn1003-3033.2026.06.1259

• Safety Technology and Engineering • Previous Articles     Next Articles

Identification of concealed hazard zones and support optimization in deep mines

Zhao Linhai1(), Hao Chenliang2,**(), Jing Jiayou1, Dong Longjun2, Wang Chao1, Zhang Teng1   

  1. 1 Baoji Northwest Nonferrous Erlihe Mining Co. Ltd, Baoji Shaanxi 721001, China
    2 School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083, China
  • Received:2026-01-10 Revised:2026-04-20 Online:2026-06-28 Published:2026-12-28
  • Contact: Hao Chenliang

Abstract:

Dynamic hazards occur frequently during the mining process of deep metal mines, and existing ground pressure monitoring technologies and static support systems cannot meet the engineering requirements for active hazard prevention and control in complex mining environments. Based on the deep mining engineering practice at the Erlihe lead-zinc mine, a three-dimensional intelligent geoacoustic monitoring network for deep underground environments was established. The dynamic shortest path method (DSPM) was employed to perform seismic-velocity tomography of the rock mass, enabling refined identification of concealed hazard-inducing structures and high-stress anomalous zones in the deep rock mass. Source strength and the vibration response of the surrounding rock were characterized by using geoacoustic event parameters, including magnitude (M), peak ground velocity (PGV), and peak ground acceleration (PGA). By integrating rock-mass quality classification, the dynamic verification of support capacity was achieved. On this basis, differentiated support schemes suitable for varying lithologies and ground-pressure conditions were developed and then applied and validated in a high-risk section of the No. 8 inclined shaft in the mine. The results show that signal interference in complex goaf environments is effectively mitigated by the constructed geoacoustic monitoring network. Stable acquisition of high-frequency weak signals induced by rock mass fracture is realized. The spatiotemporal correlation between high velocity gradient zones and the occurrence of dynamic hazards is revealed by seismic velocity tomography results. which can be used to delineate concealed hazardous zones in deep rock mass. After the implementation of the differentiated support schemes, the frequency of geoacoustic events in the target area is significantly reduced, and large deformation of roadway surrounding rock is effectively controlled.

Key words: deep mines, geoacoustic monitoring, concealed hazardous zones, wave velocity imaging, differentiated support

CLC Number: