辽宁工程技术大学学报（自然科学版）Issue(1)：33-38,6.
采用高密度电法预测矿山堆积体滑坡面
Prediction of dump landslide using resistivity imaging survey
摘要
Abstract
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.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Key words
mine/geologic hazard/resistivity imaging/apparent resistivity/rain fall/void/contrast/landslide分类
天文与地球科学引用本文复制引用
李金玺,吴有亮,韩翀,刘祖珉..采用高密度电法预测矿山堆积体滑坡面[J].辽宁工程技术大学学报（自然科学版）,2013,(1):33-38,6.基金项目
国家科技攻关资助项目(2005BA901A03) （2005BA901A03）
