Geophysical investigation of the Sandalp rock avalanche deposits

Socco, Laura; Jongmans, Denis; Boiero, Daniele; Stocco, Stefano; Maraschini, Margherita; Tokeshi, K.; Hantz, Didier

doi:10.1016/j.jappgeo.2009.12.005

Cited by 37 publications

(19 citation statements)

References 46 publications

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“…The method has also been employed for the study of karstic terrain and landforms (Thierry et al, 2004;Nasseri-Moghaddam et al, 2007). Socco et al (2010) use surface wave data in combination with other geophysical methods for the study of a recent rock fall. Vignoli and Cassiani (2010) discuss the use of multi-offset phase analysis for characterization of lateral subsurface discontinuities.…”

Section: Seismicsmentioning

confidence: 99%

Landform characterization using geophysics—Recent advances, applications, and emerging tools

Dam

2012

Geomorphology

108

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Section: Seismicsmentioning

confidence: 99%

Landform characterization using geophysics—Recent advances, applications, and emerging tools

Dam

2012

Geomorphology

108

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“…This approach, introduced by Auken and Christiansen (2004) for resistivity data, also has been applied successfully to seismic surface-wave data (Wisén and Christiansen, 2005;Socco et al, 2009;Boiero and Socco, 2010;Socco et al, 2010). The spatial constraints can be applied to neighboring models, imposing similarity of interface depth and seismic velocity of the same layer.…”

Section: Mutually and Spatially Constrained Inversionmentioning

confidence: 99%

“…Details about the application can be found in Socco et al (2010). The aim of the geophysical investigation was to characterize the volume of the Sandalp rock avalanche deposit.…”

Section: Mutually and Spatially Constrained Inversionmentioning

confidence: 99%

4. Advances in Surface-Wave and Body-Wave Integration

Socco¹,

Boiero²,

Foti³

et al. 2010

Advances in Near-Surface Seismology and Ground-Penetrating Radar

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Seismic methods are the primary characterization tools for several engineering and near-surface problems. Noninvasive and invasive methods based on the propagation of either body or surface waves are used widely. Often, more than one method is applied at the same site. In spite of possible synergies that exist between different methods, the data are often processed and interpreted independently. The integration of different data sets could provide more reliable final models and comprehensive site characterization. Acquisition can be optimized to obtain a multipurpose data set. Additional improvements might be obtained by a constrained or joint inversion of different seismic data. These can be demonstrated with real-world examples.

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“…The exact shear surface localization is an essential information for engineering geologist not (133)(134)(135)(136)(137)(138)(139)(140)(141)(142)(143)(144)(145)(146)(147) even for stability assessment of the hazardous area, but also for modelling of spatial distributions of various slope-deformation forms (Holec et al, 2013). Currently, the electrical resistivity tomography (ERT), as well as other geophysical methods, are widely used in the slope deformations evaluation and prediction (Bednárik et al, 2010;Constantin et al, 2011;Bekler et al, 2011;Socco et al, 2010;Tric et al, 2010). The most common application of the ERT method is to locate the body of the landslide in the studied area Pánek et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Determination of shear surface of landslides using electrical resistivity tomography

Dostál

Putiška

Kušnirák

2014

Contributions to Geophysics and Geodesy

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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.

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Geophysical investigation of the Sandalp rock avalanche deposits

Cited by 37 publications

References 46 publications

Landform characterization using geophysics—Recent advances, applications, and emerging tools

Landform characterization using geophysics—Recent advances, applications, and emerging tools

4. Advances in Surface-Wave and Body-Wave Integration

Determination of shear surface of landslides using electrical resistivity tomography

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