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Delineation of subsurface variability in clay-rich landslides through spectral induced polarization imaging and electromagnetic methods

机译:通过光谱诱导极化成像和电磁方法描绘富含粘土滑坡中的地下变异性

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Although commonly triggered by heavy or long-lasting precipitation events, landslides in clay-rich formations are hardly predictable as their triggering mechanisms are still not fully understood. Hence, detailed information about the internal structure of landslides with high spatial resolution is fundamental for an improved understanding of triggering mechanisms and management. In this context, electrical resistivity tomography (ERT) is a well-established method used for the delineation of lithological interfaces in landslides and changes in water content. However, the quantitative interpretation of the ERT images can be challenging, particularly for clayrich landslides, considering that the electrical signatures are dominated by the variations in the clay fraction rather than saturation. Moreover, large scale investigations also demand the development of faster surveying techniques. Hence, in this study we discuss the combined investigation of a landslide with low induction number electromagnetic (EMI) mapping and induced polarization (IP) imaging. We investigate the application of such methods to assess subsurface variability across different scales: near surface EMI mapping and their correlation with geomorphological data, whereas IP images are used to investigate the extension at depth from the shallow structures. Measurements are performed at a shallow clay-rich landslide in Lower Austria (Austria), characterized by lithological structures of the Flysch and Gresten Klippen Zone, with both formations known to be highly susceptible to landsliding. The interpretation of the imaging results for data collected along 15 profiles is performed using separately acquired hydrogeological and geotechnical data. We observe a relationship between the electrical properties and geotechnical parameters which permits to delineate areas associated to different weathering stages controlling the groundwater flow. Moreover, spectral induced polarization (SIP) data collected along one transect shows sensitivity to changes in textural composition, such as the fraction of clay minerals. The study shows the suitability of an integrated investigation with EMI mapping and IP imaging in combination with extensive geotechnical data for an improved characterization of subsurface variability and thus, understanding of clay-rich landslides.
机译:虽然常见的降水事件常见引发,但富含粘土的地层的滑坡几乎不能预测,因为它们的触发机制仍然没有完全理解。因此,有关具有高空间分辨率的滑坡内部结构的详细信息是改善对触发机制和管理的理解的基础。在这种情况下,电阻率断层扫描(ERT)是一种用于描绘山体滑坡中岩性界面和水含量变化的良好方法。然而,考虑到电签发是由粘土分数而不是饱和的变化来统治,ert图像的定量解释可能是具有挑战性的,特别是对于Clayrich Landslides。此外,大规模调查还要求开发更快的测量技术。因此,在这项研究中,我们讨论了具有低感应号电磁(EMI)映射和诱导极化(IP)成像的山滑坡的组合研究。我们调查这些方法在不同尺度上评估地下变异性的应用:近表面EMI映射及其与地貌数据的相关性,而IP图像用于从浅结构探测深度的延伸。测量在奥地利较低的岩土(奥地利)的浅粘土山上进行,其特征在于捕获和格雷格纳克利普区的岩性结构,其中已知两种形成高易受血岭的影响。使用单独获取的水文地质和岩土数据进行沿15个简档收集的数据的成像结果的解释。我们观察到电气性质和岩土地参数之间的关系,其允许描绘与控制地下水流动的不同风化级相关的区域。此外,沿着一个横透收集的光谱诱导极化(SIP)数据显示了对纹理组合物的变化的敏感性,例如粘土矿物的级分。该研究表明了与EMI映射和IP成像的综合调查与广泛的岩土数据相结合,以改善地下变异性的性格,因此,了解富含粘土的滑坡。

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