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Determination of shear surface of landslides using electrical resistivity tomography

机译:用电阻层析成像确定滑坡的剪切面

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Geophysical methods offer a broad spectrum of information by dealing with slope deformations. The electrical resistivity tomography (ERT) method is mainly applied for spatial localization of the landslide body and depicting the shear zone position. This article presents the application of the ERT method for the landslide hazardous areas by means of numerical modelling. Four different synthetic models with very small resistivity contrast (30 Ohm.m/50 Ohm.m), where each model represents a different type of slope deformation, were tested by several factors affecting the final inverse model: measurement point density, L1 and L2 norm and L-norm roughness filter components. The higher measurement points density helps mainly to detect the boundaries at greater depths. Inverse models computed using the L1 norm bring satisfactory results for compact anomalous bodies, i.e. water saturated landslide body. In the case of subtle conductive zones, i.e. shear planes, the L2 norm based inversion is recommended. For enhanced reconstruction of skewed anomalous objects, roughness filter including a diagonal component produces more accurate inverse image. The article also demonstrates the ability of the ERT method to detect and describe the shape of the slope deformation even by a relative subtle resistivity contrast
机译:地球物理方法通过处理斜坡变形提供了广泛的信息。电阻层析成像(ERT)方法主要用于滑坡体的空间定位和描绘剪切带位置。本文通过数值建模的方法介绍了ERT方法在滑坡危险区域的应用。通过影响最终反模型的几个因素测试了四个电阻率对比度非常小(30 Ohm.m / 50 Ohm.m)的不同合成模型,其中每个模型代表不同类型的斜坡变形:测量点密度,L1和L2规范和L规范粗糙度过滤器组件。较高的测量点密度主要有助于检测更大深度处的边界。使用L1范数计算的反模型为紧凑的异常体(即水饱和滑坡体)带来令人满意的结果。对于细微的导电区域(即剪切平面),建议使用基于L2范数的反演。为了增强对歪斜异常对象的重建,包括对角线成分的粗糙度过滤器会产生更准确的反像。本文还展示了ERT方法即使通过相对细微的电阻率对比也能够检测和描述斜坡变形的形状的能力

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