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基于微震活动性参数的矿山灾害风险性评价
引用本文:张楚旋,李夕兵,康虔,董陇军,马举.基于微震活动性参数的矿山灾害风险性评价[J].安全与环境学报,2017,17(4):1276-1280.
作者姓名:张楚旋  李夕兵  康虔  董陇军  马举
作者单位:中南大学资源与安全工程学院,长沙410083;南华大学核资源工程学院,湖南衡阳421000;中南大学资源与安全工程学院,长沙,410083
基金项目:国家自然科学基金项目,南华大学博士启动基金项目
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。

关 键 词:安全工程  微震监测  灾害分级  最大潜在震级  微震扩散率  微震劲度

Mining disaster risk assessment based on the microseismic activity parameters
ZHANG Chu-xuan,LI Xi-bing,KANG Qian,DONG Long-jun,MA Ju.Mining disaster risk assessment based on the microseismic activity parameters[J].Journal of Safety and Environment,2017,17(4):1276-1280.
Authors:ZHANG Chu-xuan  LI Xi-bing  KANG Qian  DONG Long-jun  MA Ju
Abstract:Based on the monitoring data from the IMS system,the present article intends to propose a classification method of rock mass seismic disasters,which tend to be resulted by such factors,as the spatial distribution of microseismic events and the spatial distribution of microseismic incidence.In order to predict and control the disasters of the gob destabilization,we used to introduce the IMS microseismic monitoring system into the Yongshaba coal mine.First of all,we have managed to make an exploration of the microseismicity features in the whole mine scale through a statistical analysis,and then we have roughly divided the monitoring objects into four sub-areas according to the event number and the magnitude of microseismic activities,the degree of spatial aggregation and so on.Secondly,we have carefully analyzed the seismic activity parameters of each sub-area,including the maximum potential magnitude and its return time,the microseismic diffusibility,the microseismic stiffness ratio,the energy frequency characteristics of all the partitions.And,last of all,the likelyto-be-suffered risks of all the partitions can be classified in combination with the risk classification of the stope microseismic disaster standard so as to provide a reference and basis for the mining stability monitoring activities.The results of the microseismic disaster standard classification can be made as a kind of reference resources for the managers to monitor the rock mass stability.The practice shows that the results of the disaster risk classification we have obtained can be regarded as a reasonable and confident reference by taking into account all the characteristic factors,including the energy distribution,the spatial distribution of microseismic events and the spatial distribution of microseismic chance probabilities.The classification method of rock mass seismic disasters proves to be successful in predicting the ground pressure activity of the mining intensity and promptness on the basis of the results of monitor and classification.Therefore,it can help to maintain the normal production of the mine with no need to worry the prejudice given by the unbelievable microseismie monitoring experts and security managers.
Keywords:safety engineering  microseismic monitoring  disaster classification  maximum potential magnitude  microseismic diffusivity  microseismic stiffness
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