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采用高密度电法预测矿山堆积体滑坡面 被引量:11

Prediction of dump landslide using resistivity imaging survey
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摘要 利用高密度电法对地下介质含水量变化的敏感性特点对滑坡进行监测.采用温纳α、β、γ3种排列装置对废石堆联合勘探.利用同一设备在同一位置分别在雨季前后进行两次数据采集,以降低系统误差.结果表明:在测区的浅表部3种装置测量结果变化较大,但在深部视电阻率比较吻合;同时,在分辨率和性噪比方面,温纳α装置相对其它两种装置具有一定优势.雨季前后两次视电阻率变化很大,平均降低67.62%,呈现出浅表层视电阻率变化率较小,中深层次视电阻率变化较大的趋势,表明雨季前潜在滑坡面含水量很小,雨季后降水使堆积体富含水分,特别是中深部含水量分数剧增,同时也使摩擦系数大大降低,极可能诱发滑坡,该滑坡面深度约29 m. Rain fall is a major cause of landslide in the dump formed by solidified crushed rocks from the mine waste rocks. The resistivity is very sensitive to water and can be used to predict the landslide surface. In the resistivity imaging surveys, three arrays, including Wenner Alpha, Beta and Gamma, were used to survey the dump in order to determine which one is the best array for predict the landslide. Two field investigations were conducted using the same equipment before and after rainy season respectively. By comparison, it indicated that Wenner Alpha array is better than others in target resolution and signal response. The resistivity values changed sharply with an average decrease of 67.62 % after rainy season. The decrease of resistivity in lower part of the dump is larger than that in upper part of the dump. It showed the water-bearing landslide surface is very low before rainy season, but is very high, especially in the lower part, after rainy season. Rain water will reduce the frication coefficient and lead to the landslide which may occur at 29 m deep.
出处 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2013年第1期33-38,共6页 Journal of Liaoning Technical University (Natural Science)
基金 国家科技攻关资助项目(2005BA901A03)
关键词 矿山 地质灾害 高密度电法 视电阻率 降水 空隙 对比 滑坡面 mine geologic hazard resistivity imaging apparent resistivity rain fall void contrast landslide
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