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微震灾害分级是判别及处理高风险采场的关键。为了预测并防治采空区失稳导致的灾害,结合用沙坝矿引进的IMS微震监测系统,首先统计矿山尺度的微震活动性特征,将主要采场进行分区。然后分析各分区的最大潜在震级及其重现时间、微震扩散率、微震劲度比、能量频次等特征。最后结合采场微震灾害风险性分级标准对各分区风险性进行分级。结果表明,综合考虑微震事件的能量分布特征、空间分布特征、时间分布特征进行灾害风险性分级的结果更为合理。
Seismic microseism classification is the key to distinguish and deal with high-risk stope. In order to predict and prevent the disasters caused by the instability of goaf, combined with the IMS microseismic monitoring system introduced by Shaba Mine, the microseismic activity characteristics of the mine scale are first counted and the main stopes are zoned. Then, the maximum potential magnitude of each subarea and its recurrence time, microseismic diffusivity, microseismic stiffness ratio and energy frequency are analyzed. Finally, combining with risk classification criteria of microseismic disaster in stope, the risk of each district is graded. The results show that considering the energy distribution, spatial distribution and time distribution of microseismic events, the result of disaster risk classification is more reasonable.