基于微震活动性参数的矿山灾害风险性评价

发布时间：2018-05-06 13:53

本文选题：安全工程 + 微震监测　；参考：《安全与环境学报》2017年04期

【摘要】：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。
[Abstract]:The classification of microseismic disasters is the key to distinguish and deal with high risk stope. In order to predict and prevent the disaster caused by the instability of goaf, combined with the IMS microseismic monitoring system introduced in Shaba Mine, the characteristics of microseismic activity on the scale of mine are counted first, and the main stope is partitioned. Then the maximum potential magnitude and its recurrence time microseismic diffusivity microseismic stiffness ratio and energy frequency are analyzed. Finally, combined with the classification standard of hazard risk of stope micro-earthquake, the risk of each subzone is classified. The results show that it is more reasonable to classify disaster risk by considering the characteristics of energy distribution, space distribution and time distribution of microseismic events.
【作者单位】：中南大学资源与安全工程学院;南华大学核资源工程学院;
【基金】：国家自然科学基金项目(41272304,11472311) 南华大学博士启动基金项目(2016XQD31)
【分类号】：TD325.4

【相似文献】