高密度电法在黑方台地下水探测中的应用

发布时间：2018-07-05 14:11

本文选题：灌溉 + 黄土滑坡　；参考：《地球物理学进展》2017年04期

【摘要】：由于农业灌溉,黑方台台塬边共发生了120余次黄土滑坡,严重威胁当地居民的生命财产安全.研究表明,该地区滑坡的主要诱因是黄土层中不断抬升的地下水,故对研究区滑坡的诱发形成机理展开分析探讨,就不能脱离对该地区黄土层中地下水分布规律的研究.基于此,本文运用高密度电法,对黑方台台塬内部及塬边滑坡区的黄土层中地下水分布规律进行探测研究.据三条物探剖面探测结果可知:1)研究区地下水中矿化度高,可断定其来源为农业灌溉;2)台塬内部黄土层中的地下水水位较为平缓,汇向台塬东北侧一带;3)而塬边水位骤降,趋势与滑坡地形基本一致,且滑坡坡顶处有局部水位抬升现象.物探结果与钻孔数据结果基本吻合,证明运用高密度电法对研究区地下水位进行探测是一种可靠的方法.
[Abstract]:As a result of agricultural irrigation, more than 120 loess landslides occurred on the edge of the Heifangtai tableland, which seriously threatened the safety of local residents' lives and property. The research shows that the main inducement of landslide in this area is the groundwater uplifted continuously in the loess layer. Therefore, if the formation mechanism of the landslide in the study area is analyzed and discussed, the study on the distribution law of groundwater in the loess layer in this area can not be separated. Based on this, the distribution of underground water in the loess layer in the inner part of the Heifangtai tableland and the landslide area on the edge of the plateau is studied by using the high-density electric method in this paper. According to the results of three geophysical profiles, it can be concluded that the groundwater in the study area has a high degree of mineralization, and it can be concluded that the groundwater level in the loess layer inside the tableland is relatively gentle, and the groundwater level in the loess layer within the tableland reaches the northeast side of the tableland, and the water level at the edge of the tableland drops sharply. The trend is basically consistent with the landslide topography, and there is a local water level uplift at the top of the landslide. The results of geophysical prospecting are in good agreement with the results of borehole data, which proves that the high density electrical method is a reliable method to detect the groundwater level in the study area.
【作者单位】：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;成都理工大学地球物理学院;
【基金】：国家重点基础研究发展计划项目(2014CB744703) 国家创新研究群体科学基金资助项目(41521002)联合资助
【分类号】：P631.3;P641.7

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