摘要
为监测潘洛铁矿采空区稳定性,预测并防治采空区失稳导致的灾害,结合潘洛铁矿引进的IMS微震监测系统,对其台网误差进行了调试与反演,并统计与分析了矿井尺度的微震活动性特征。同时将主要采空区进行了有效分区,并对各分区的微震频次、能量、时间序列、βn分布、η值、CUFIT模型等特征进行了分析,最后结合采空区分级标准对各分区综合分级,为现场采空区稳定性监测提供参考与依据。
IMS microseismic monitoring system was introduced for monitoring the stability of goaf in Panluo Iron Mine, so as to forecast and prevent the hazard brought by goaf instability. The error debugging and seismic inversion were then completed for the seismological observation network. Based on the analysis of characteristic of microseismic activities, the main goals were divided into four regions, for which the MS parameters including microseismic frequency, energy, time series, βn distribution, using the goaf＇s grading η value, CUFIT model, were all analyzed. Finally standard according to the characteristic of MS data. monitoring of goaf＇s stability on site. , each region was comprehensively graded It can provide a reference and basis for the
出处
《矿冶工程》
CAS
CSCD
北大核心
2015年第2期6-11,共6页
Mining and Metallurgical Engineering
基金
国家重点基础研究发展计划(973)项目(2012CB724207)
湖南省重大科技专项(2011FJ1003)
关键词
采矿工程
采空区
微震
监测预测
分区分级
mining engineering
goaf
microseismic
monitoring and forecasting
regions grading
