东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (3): 399-402.DOI: -

• 论著 • 上一篇    下一篇

红透山铜矿微震监测系统及其应用

赵兴东;石长岩;刘建坡;李元辉;   

  1. 东北大学资源与土木工程学院;东北大学资源与土木工程学院;东北大学资源与土木工程学院;东北大学资源与土木工程学院 辽宁 沈阳 110004;辽宁 沈阳 110004 成都理工大学地质灾害防治与地质环境保护国家重点实验室;四川 成都 610059;辽宁 沈阳 110004 中国科学院岩土力学重点实验室;湖北 武汉 430071;辽宁 沈阳 110004 中国科学院岩土力学重点实验室;湖北 武汉 430071
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-03-15 发布日期:2013-06-22
  • 通讯作者: Zhao, X.-D.
  • 作者简介:-
  • 基金资助:
    教育部高等学校博士学科点专项科研基金(20070145121);;

Microseismic monitoring system establishment and its application study in Hongtoushan copper mine

Zhao, Xing-Dong (1); Shi, Chang-Yan (1); Liu, Jian-Po (1); Li, Yuan-Hui (1)   

  1. (1) School of Resources and Civil Engineering, Northeastern University, Shenyang 110004, China; (2) State Key Laboratory of Geohazards Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; (3) Key Laboratory of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-03-15 Published:2013-06-22
  • Contact: Zhao, X.-D.
  • About author:-
  • Supported by:
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摘要: 针对红透山铜矿深部地压活动频繁现状,建立矿山微震监测系统,通过构建红透山铜矿三维地质模型,优化传感器布设方案,对深部地压活动规律进行连续实时监测.通过微震监测结果与实际爆破震源对比,监测系统对于传感器监测范围内震源的定位误差小于5m,表明微震监测系统对于人工震源具有很高的定位精度.微震监测系统能够连续实时地对地压活动进行监测,捕捉由地压活动引起的微震活动信息,并实现微震源定位,这对开展矿山动力灾害的预测研究具有重要的现实意义.

关键词: 微震监测, 震源定位, 地压活动, 深部岩体, 矿山动力灾害

Abstract: Aiming at the present situation that the ground pressure acts so intensively in Hongtoushan copper mine, a microseismic monitoring system was developed by optimizing the layout of sensors with a three-dimensional geological model developed relevantly to monitor realtime continuously how the ground pressure acts. The monitoring result is compared with the actual seismic source through blasting and it shows that the locating error is less than 5 m which is highly accurate in locating seismic source through a microseismic monitoring system. Capturing microseismic information from ground pressure activities and then locating the seismic source is proved of significance to forecasting dynamic disaster in deep mine.

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