高密度电法在陕西泾阳地区黄土台塬地下水位探测中的应用

黄土滑坡灾害与地下水位、黄土含水率有一定的关系,查清地下水位分布对黄土滑坡的预测与稳定性分析具有重要意义。基于高密度电法摸清陕西泾阳南塬黄土台塬地下介质电阻率分布情况,研究地下黄土含水率、视电阻率、视电阻率垂向导数与深度的关系,并推测勘查区地下水位线分布情况。结果表明:当地下某一深度黄土含水率为30%左右,视电阻率为30 Ω·m左右,且视电阻率垂向导数达到峰值时,可推断出该深度存在地下水位线。因此,在黄土滑坡灾害的预测与分析中,基于高密度电法,将含水率、视电阻率、视电阻率垂向导数与深度的关系作为判断依据,可以较为准确地确定地下水位的深度。

Application of Multi-electrode Resistivity Method in Groundwater Level Detection in Loess Tableland of Jingyang Area,Shaanxi, China

Loess landslides frequently occur in the southern loess tableland of Jingyang area, Shaanxi province, which have caused serious impacts on local agricultural production and economic development. The occurrence mechanism of loess landslide is related to the underground water level and the loess moisture, so it is very important to find out the distribution of underground water level for the prediction and stability analysis of loess landslide. The distribution of underground medium resistivity in the landslide area was understood by means of multi-electrode resistivity method, and the distribution of underground water level in the landslide area was inferred based on the relationship between moisture, apparent resistivity, vertical derivative of apparent resistivity and depth of underground medium. Through the verification of borehole and geological data, the inferred results are basically consistent with the existing data, and good exploration results have been obtained. The results show that when the moisture of a certain depth is about 30%, the apparent resistivity is about 30 Ω·m, and the vertical derivative of apparent resistivity reaches its peak, it can be basically inferred that the underground water level exists in this depth. Therefore, in the prediction and analysis of loess landslide disaster, the multi-electrode resistivity method is taken as the exploration method, and the relationships between moisture, apparent resistivity,vertical derivative of apparent resistivity and depth are taken as the judgment basis, the depth of underground water level can be determined more accurately.