Abstract:Geophysical and geotechnical surveys were conducted in the Western Cameroon (Kekem area) following a landslide on argillaceous material in order to understand the triggering processes and mechanisms of this landslide and to assess the stability of the slope. The geophysical soundings consisting of vertical electrical soundings with the Schlumberger electrode array configuration were carried out to monitor the behaviour of electrical resistivity in the landslide. Geoelectrical data showed a zone of low resistiv… Show more
“…Changes in water conditions and slope geometry are the main factors that induce slope instability (Tang et al, 2018) in the presence of discontinuities such as faults, fractures, and beddings which are precursors to landslide (Chalupa et al, 2018). Since, the world is experiencing heavy and extreme rainfall events because of global climate change (Kirschbaum et al, 2020), the continuous precipitation during typhoon increases slope instability around mountains which has led to severe mudflows and landslide events (Baum et al, 2010;Pradhan and Lee, 2010;Epada et al, 2012;Jeong et al, 2014;Chien et al, 2015;Hakro and Harahap, 2015;Baharuddin et al, 2016;Sidle and Bogaard, 2016;Jeong et al, 2017;Kumar and Rathee, 2017;Soto et al, 2017;Tomás et al, 2018;Kirschbaum et al, 2020). A majority of these landslides have caused a considerable loss of lives and properties (Choi and Cheung, 2013;Askarinejad et al, 2018).…”
“…Changes in water conditions and slope geometry are the main factors that induce slope instability (Tang et al, 2018) in the presence of discontinuities such as faults, fractures, and beddings which are precursors to landslide (Chalupa et al, 2018). Since, the world is experiencing heavy and extreme rainfall events because of global climate change (Kirschbaum et al, 2020), the continuous precipitation during typhoon increases slope instability around mountains which has led to severe mudflows and landslide events (Baum et al, 2010;Pradhan and Lee, 2010;Epada et al, 2012;Jeong et al, 2014;Chien et al, 2015;Hakro and Harahap, 2015;Baharuddin et al, 2016;Sidle and Bogaard, 2016;Jeong et al, 2017;Kumar and Rathee, 2017;Soto et al, 2017;Tomás et al, 2018;Kirschbaum et al, 2020). A majority of these landslides have caused a considerable loss of lives and properties (Choi and Cheung, 2013;Askarinejad et al, 2018).…”
“…Many authors have shown that the increasing or decreasing tendency of soil geomechanical properties can create weaknesses in these soil textures, easing their failure or sliding [ 7 , 69 , 74 ]. In other words, some of these geomechanical properties should be decreasing to make the site more susceptible to landslides.…”
Section: Resultsmentioning
confidence: 99%
“…However, the study of rock and soil characteristics, faults, lineaments, and seismic events allows detecting warning signs, including small displacements of parts of the slope, tension cracking, and reactivation of spring lines [ 3 , 4 , 5 , 6 ]. Furthermore, soil geomechanical properties, such as water content, porosity, grain sizes, plasticity index, methylene blue value (MBV), soil angle of internal friction, and cohesion, can play a significant role when trying to understand and predict slope soil failure mechanisms [ 3 , 7 , 8 , 9 ].…”
In this work, we explored a novel approach to integrate both geo-environmental and soil geomechanical parameters in a landslide susceptibility model. A total of 179 shallow to deep landslides were identified using Google Earth images and field observations. Moreover, soil geomechanical properties of 11 representative soil samples were analyzed. The relationship between soil properties was evaluated using the Pearson correlation coefficient and geotechnical diagrams. Membership values were assigned to each soil property class, using the fuzzy membership method. The information value method allowed computing the weight value of geo-environmental factor classes. From the soil geomechanical membership values and the geo-environmental factor weights, three landslide predisposition models were produced, two separate models and one combined model. The results of the soil testing allowed classifying the soils in the study area as highly plastic clays, with high water content, swelling, and shrinkage potential. Some geo-environmental factor classes revealed their landslide prediction ability by displaying high weight values. While the model with only soil properties tended to underrate unstable and stable areas, the model combining soil properties and geo-environmental factors allowed a more precise identification of stability conditions. The geo-environmental factors model and the model combining geo-environmental factors and soil properties displayed predictive powers of 80 and 93%, respectively. It can be concluded that the spatial analysis of soil geomechanical properties can play a major role in the detection of landslide prone areas, which is of great interest for site selection and planning with respect to sustainable development at Mount Oku.
“…Electrical resistivity of the materials is a criterion showing a wide range of values, which is sensitive to several factors such physical properties of the materials (soil type, porosity, permeability etc. ), volume and conductivity of the water, and weathering and fracturing of the bedrock (Telford etal.,1990;Jongmans and Garambois, 2007;Ponzianietal.,2011;Epada et al, 2012). The geophysical method such as ERT can provide 2D or 3D models of the subsurface layers of the materials in the landslide for studying the slope (Suzuki and Higashi 2001;Lapenna et al, 2003Lapenna et al, , 2005.…”
The depth of the slip surface and thickness of the overburden deposit play a major role in assessing the slope stability of a landslide. Electrical Resistivity Tomography (ERT) survey was carried out in the Taprang Landslide, Kaski district, west- central Nepal to determine subsurface lithological conditions, depth and geometry of the slip surface. Wenner and dipole- dipole arrays were mainly applied in this ERT survey. The electrical resistivity survey revealed that there is a wide range of resistivity value which shows different kinds of layers in the subsurface, and the boundaries between these layers played a significant role to identify the slip surface. The data show mainly three layers from surface to bottom. An upper layer represents the dry to saturated colluvium and sandy gravelly soil (500 to 8000 Ωm), the middle layer is highly –saturated soil with low resistivity value (100–700 Ωm) and unweathered fresh bedrock of schist and quartzite with high resistivity value (1000 to 8000 Ωm) at the bottom layer. The slip surface is considered as depth 25 m at the crown, 10–20 m at the main body part, and below 50 m at the toe and curved in geometry which indicates the rotational type of landslide. Investigation of the slip surface in a landslide using the ERT survey aids to know the slope stability.
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