College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China.
Sci Rep. 2023 Mar 24;13(1):4821. doi: 10.1038/s41598-023-31952-7.
Agricultural irrigation of the South Jingyang tableland in Shaanxi Province, China has led to a continuous rise of the groundwater level and has triggered a series of loess landslides, thereby seriously affecting the life and property safety of local residents. Research shows that the major cause of the landslide in the loess layer of the South Jingyang tableland is the rising groundwater level. Therefore, the research on the formation mechanism of landslide in this area should include the investigation of the stratigraphic structure and groundwater level distribution characteristics. On this basis, a series of approaches, such as electrical resistivity tomography (ERT), borehole, and laboratory tests, was carried out on the South Jingyang tableland, and the groundwater level distribution and stratigraphic structure in the study area were determined. The qualitative relationship between resistivity value and water content at different depths was detected using the inversion results of ERT and borehole data. Through laboratory tests, the quantitative relationship between resistivity values under different water contents was established. The precise depth of the groundwater level was inferred by connecting the qualitative relationship with the quantitative relationship, and then a detailed 3D geological model was established by linking the inversion results of ERT with the field borehole lithology data and geological survey data. The detection results show that when the qualitative and quantitative analyses of the ERT inversion results were combined, the distribution of the groundwater level was accurately judged. The ERT is effective in reflecting the stratigraphic structure and hydrological characteristics of the Loess Plateau, and its potential as a supplementary technology for detecting the groundwater level is reasonable. This study addresses the limitation and inaccuracy in determining the stratum structure and groundwater level by solely relying on borehole information or ERT. The established 3D geological model not only provides a basis for the study of groundwater table fluctuation, but also a technical guidance for the stability evaluation of loess slope, landslide prediction, and early warning in the study area.
中国陕西省泾阳南部塬区的农业灌溉导致地下水位持续上升，并引发了一系列黄土滑坡，严重影响了当地居民的生命财产安全。研究表明，泾阳南部塬区黄土层滑坡的主要原因是地下水位上升。因此，该地区滑坡形成机制的研究应包括地层结构和地下水位分布特征的调查。在此基础上，对泾阳南部塬区进行了高密度电阻率层析成像（ERT）、钻孔和实验室测试等一系列方法，确定了研究区地下水位分布和地层结构。通过 ERT 反演结果和钻孔数据的定性关系，检测了不同深度电阻率值与含水量之间的定性关系。通过实验室测试，建立了不同含水量下电阻率值的定量关系。通过连接定性关系和定量关系，推断出地下水的精确深度，然后通过将 ERT 反演结果与野外钻孔岩性数据和地质调查数据相连接，建立详细的 3D 地质模型。检测结果表明，当综合分析 ERT 反演结果的定性和定量关系时，可以准确判断地下水位的分布。ERT 有效地反映了黄土高原的地层结构和水文特征，将其作为检测地下水位的补充技术具有合理性。本研究解决了仅依靠钻孔信息或 ERT 确定地层结构和地下水位的局限性和不准确性。建立的 3D 地质模型不仅为研究地下水位波动提供了依据，也为研究区黄土边坡稳定性评价、滑坡预测和预警提供了技术指导。
