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岩矿含水率对电阻率的影响及对矿山突水预测的意义 被引量:2

Effect of water content of rock and ore on resistivity and its significance to prediction of water inrush in mine
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摘要 在有色金属矿山的开采过程中,矿山突水、透水事故是十分重要的安全生产隐患之一,科学预测地质体中可能分布的导水构造、含水破裂带也是研究的难点和热点之一,所以,开展隐伏水体预测至关重要。以查藏错铜铅锌矿床为例,运用电阻率法有关原理,在矿山采集岩矿样品,探讨岩矿含水率分布特征及其对电阻率的影响,预测地质体电阻率的变化趋势。研究发现,地质体电阻率与含水率具有较好的分布拟合度,总体呈NW向、NNE向延伸,推断矿区内可能发育2~3条断层或破碎带,预测有3处突水威胁区,分别是Ⅰ区、Ⅱ区和Ⅲ区。结果表明,通过分析岩矿含水率对电阻率的影响,以及电阻率分析技术可以推测地质体电阻率变化规律,并具有指示含水断裂带空间展布的意义,该研究结论能够有效避免或减少矿山突水事故的发生,减少人员伤亡和经济损失。 In the mining process of non-ferrous metal mines,the mine water inrush and permeable accident is one of the most important hidden dangers,and it is also one of the difficulties and hotspots in accurately predicting the possible distribution of water diversion structures and the fracture zone in geological bodies,therefore,it is very important to carry out the prediction of hidden water bodies.In this paper,taking the Chazangcuo copper,lead and zinc deposit as an example,by using resistivity method,some rock and ore samples were collected in the mine,the effect of water content on the resistivity of rock and ore was discussed,the variation trend of geologic bodies resistivity was observed dynamically.Results indicated that the resistivity distribution had a good fitting relation with water content,which extended in the direction of NW and NNE,it was inferred that there may be 2~3 faults or broken zones in the mining area,and there may be three water inrush threatening areas,namely,No.Ⅰ,No.Ⅱand No.Ⅲ.And the variation law of geologic bodies resistivity can be observed by rock and ore resistivity analysis technology,indicating the spatial distribution of water-bearing fault zone.The research results can effectively avoid or reduce the occurrence of mine water inrush accidents,and reduce casualties and economic losses.
作者 王建国 李玮 张世珍 WANG Jianguo;LI Wei;ZHANG Shizhen(Department of Geological Engineering,Qinghai University,Xining 810016,China)
出处 《有色金属(矿山部分)》 2019年第5期105-110,共6页 NONFERROUS METALS(Mining Section)
基金 青海省应用基础研究计划项目(2019-ZJ-7022) 青海省自然科学基金项目(2017-ZJ-955Q)
关键词 电阻率 含水率 金属矿山 威胁区 突水预测 resistivity water content metal mine threat area water inrush prediction
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