Identification of the gravitational boundary in weathered gneiss by geophysical survey: La Clapière landslide (France)

Jomard, Hervé; Lebourg, Thomas; Tric, Emmanuel

doi:10.1016/j.jappgeo.2006.07.003

Cited by 51 publications

(44 citation statements)

References 35 publications

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“…From the surface to the depth, the conducting superfi cial body corresponds well to the superfi cial secondary landslide as shown and discussed by Jomard et al (2007a). The main landslide body is characterized by the resistive part which could be associated with a highly deformed and destructured unsaturated mass.…”

Section: Ert Descriptions Ert1 (mentioning

confidence: 71%

“…This limitation can introduce an almost homogeneous under evaluation of the deepest measurements as proposed by Robain et al (1999). This problem is partly addressed by the very consistent correlation observed between resistivity ranges obtained for dipole-dipole and pole-pole arrays in our previous work (Jomard et al, 2007a).…”

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 97%

“…Protocol used for ERT The protocol used for this study was previously tested in Jomard et al (2007a) giving accurate results in the higher part of the landslide. The same protocol has been followed in this study.…”

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 99%

“…In this paper, the ERT presented are only for pole-pole arrays, because other confi gurations could not penetrate to the 100 m depth assumed for the failure surface (Jomard et al, 2007a). The resolution of the acquired profi les is a function of the number of acquisition points; a grid of about 10 × 10 (in metres) was created in agreement with the geological settings scale.…”

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 99%

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Electrical imaging of sliding geometry and fluids associated with a deep seated landslide (La Clapière, France)

Jomard

Lebourg

Guglielmi

et al. 2010

Earth Surf Processes Landf

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International audienceThis paper deals with the applicability of electrical resistivity tomography (ERT) for the recognition of large landslide structures at depths, which have never previously been imaged accurately. One of the most studied and instrumented deep landslides in Europe is taken as an example: the La Clapière landslide. The first stage of the study consisted of an accurate geological mapping taking into account a morphological analysis of gravitational deformations. This allowed a very fine definition of the landslide structure, that could be compared with three provided ERT profiles performed within the landslide body. Very good correlations were obtained for the determination of sub-horizontal structures and associated fluid circulations. It confirmed the position of the sliding surface that reached a maximum depth of 100 m. Forward computing was however necessary to determine the influence and then the presence of vertical discontinuities. It supports the use of ERT as an efficient tool for large scale landslide imaging, such as deep seated landslides. Copyright © 2010 John Wiley & Sons, Ltd

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Section: Ert Descriptions Ert1 (mentioning

confidence: 71%

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 97%

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 99%

Section: Electrical Resistivity Tomography (Ert)mentioning

confidence: 99%

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Electrical imaging of sliding geometry and fluids associated with a deep seated landslide (La Clapière, France)

Jomard

Lebourg

Guglielmi

et al. 2010

Earth Surf Processes Landf

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“…Geoelectric resistivity method is one of the geophysical methods that are widely used in the field of hydrogeology, disaster mitigation, and archeology [4][5][6][7]. Several previous studies have demonstrated that the geoelectric resistivity method was sufficient for determining the subsurface condition of landslide-prone areas [3], [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study of Landslide in Sri Mulyo, Malang, Indonesia Using Resistivity Method and Drilling Core Data

Susilo¹,

Suryo²,

Fitriah³

et al. 2018

GEOMATE

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ABSTRACT:Research on landslide in Sri Mulyo Village, Dampit Subdistrict, Malang District, Indonesia has been implemented. This research is conducted to know the condition of the subsurface area for information in landslide vulnerability analysis. In addition, this research was undertaken to mitigate landslide in minimizing casualties and material losses. The study was done using resistivity method, configuration of dipole-dipole supported by drilling core lab test result. There are five resistivity measuring lines with trajectory lengths ranging from 100 m, 200 meters, and 300 meters. The results of the resistivity indicate that the subsurface lithology of Sri Mulyo Village is composed of clays (9.3-85.8 Ω.m), tuff (178-779 Ω.m) and breccia (≥ 1629 Ω.m). The sliding plane at the research area is the boundary between clays and tuffs. The result of correlation between geoelectric and drilling core data showed that the research area was dominated by a 10m depth of clay. High rainfall, clay thickness and vegetation (coffee) exhibit high levels of vulnerability to occur landslides. Possible landslide direction is from West-West to Southeast with creep avalanche type.

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Landslide activation behaviour illuminated by electrical resistance monitoring

Merritt¹,

Chambers

Murphy

et al. 2018

Earth Surf Processes Landf

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A common factor in landslide activation (or reactivation) is subsurface moisture and associated pore pressure variations linked to rainfall. Monitoring of these subsurface hydrogeological processes is necessary to improve our understanding of water‐induced landslide activation. Geophysical approaches, electrical methods in particular, are increasingly being applied to landslide monitoring because they provide non‐invasive spatial information in heterogeneous subsurface environments that can be difficult to characterise using surface observations or intrusive sampling alone. Electrical techniques are sensitive to changing subsurface moisture conditions, and have proven to be a useful tool for investigating the hydrogeology of natural and engineered slopes. The objectives of this investigation were to further develop electrical resistance monitoring for slope stability assessment, and to validate the approach at an intermittently‐active UK landslide system to advance the understanding of complex landslide activation mechanisms. A long‐term transfer resistance dataset was collected from a grid of electrodes to allow spatial monitoring of the landslide. These data were interpreted using a synthesis of rainfall, temperature, GPS and piezometric records. The resistance data were corrected for seasonal temperature variations and electrode movements were monitored, as these processes were shown to mask moisture related changes. Results reveal that resistance monitoring is sensitive to soil moisture accumulation, including changes in piezometric levels, and can be used to study the principal activation mechanism of slow‐moving shallow earthflows. Spatial monitoring using resistance maps was shown to be particularly valuable as it revealed the evolution of subsurface moisture distribution, in the lead up to landslide activation. Key benefits of this approach are that it provides a simple, rapid and non‐invasive means of spatially monitoring subsurface moisture dynamics linked to landslide activation at high‐temporal resolution. Crucially, it provides a means of monitoring subsurface hydraulic changes in the build‐up to slope failure, thereby contributing to early warning of landslide events. Copyright © 2018 John Wiley & Sons, Ltd.

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Identification of the gravitational boundary in weathered gneiss by geophysical survey: La Clapière landslide (France)

Cited by 51 publications

References 35 publications

Electrical imaging of sliding geometry and fluids associated with a deep seated landslide (La Clapière, France)

Electrical imaging of sliding geometry and fluids associated with a deep seated landslide (La Clapière, France)

Preliminary Study of Landslide in Sri Mulyo, Malang, Indonesia Using Resistivity Method and Drilling Core Data

Landslide activation behaviour illuminated by electrical resistance monitoring

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