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(a) Comparison between AA′ ERT, carried out with longitudinal direction to the landslide body, and S1 and S2 stratigraphical data; (b) comparison between BB′ ERT and S1 stratigraphical data. The horizontal resistivity contrast, highlighted with white dashed line in both the ERT, corresponds to the contact between detrital material (slide material) and argillite material.
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During the landslide emergency many kinds of data, even if preliminary, can help to better understand the complexity of the investigated phenomenon and to give a valid contribution to the successive damage valuation. The electrical resistivity tomography (ERT) method was applied for investigating the deep characteristics of a landslide body that oc...
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Loss of matric suction in the head scarp has the potential to trigger increased movement in metastable landslides. Measurements taken from in-place dielectric permittivity sensors installed in the head scarp and within the slide mass are analyzed based on temporal trends combined with weather station and displacement monitoring data. Fluctuations i...
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... The hazard occurs especially in October and November due to seasonal monsoon rain. The study area receives southwest monsoon and northeast monsoon rain, with 65% of them falling in railroad slip zones [6,7].The literature study reveals that most maximum of the landslides in the Nilgiris hill region has been triggered by extreme rainfall and anthropological and developmental projects. ...
In Nilgiris mountain regions, landslide is one of the most severe hazards, damages natural resources, and disturbs the ecosystem and environment. It creates a substantial loss to agriculture, forest, wealth and scratches major architectural constructions in the mountainous region. This proposed work aims to distinguish the range of the spatial vulnerability of landslide using ensembled machine learning models, including AdaBoost, random forest algorithms, and gradient boosting decision tree algorithms. Seven conditioning factors namely slope angle, slope aspect, land use, geomorphic features, distance from road, drainage density, and lineament density and a total of 272 landslide historical locations with a ratio of 70/30 were used to construct the spatial database. Estimate the efficacy of the ensembled models using evaluation metrics like precision, recall, F1-score, MAE, MCE, MSE, Kappa and AUC score. Results concluded that the land-use factor, vegetable crop area, is prone to high vulnerability zone in the study area. Additionally, results show that among all the ensembled machine learning models, the AdaBoost algorithm’s classification gives the highest accuracy value of 88.96%. However, the gradient boost decision classifier also outperformed with an accuracy value of 78.43%, and the random forest algorithm gives 72.61%.
... There are several researches using resistivity method for detects abandoned underground mine [3], research for long-term CO2 monitoring [4], for investigating landslide [5], and research using multielectrode resistivity method for gravel prospecting [6]. This method usually used for searching ground water, civil technics and for environment problem. ...
This study was conducted to make Multi Electrode Resistivity Meter with simple and low-cost circuit design. The instrument that has been made use switching mode boost converter for increasing the voltage with Arduino Nano as a source of PWM signal connected to the boost converter circuit, and cascode current mirror circuit is used for constant current source. The sensor on this resistivity meter using the voltage divider circuit for voltage sensor, and non-inverting OPAMP circuit for current sensor. Multi electrode circuit using relay module connected with IC74HC595 and controlled by Arduino MEGA 2560. This instrument is integrated with GUI that serves as controller and data display. There are several measurements for this instrument that is maximum resistance on each constant current generated from the circuit, repeatability and reproducibility measurement, sensor calibration measurement, and ERT measurement with three configuration i.e wenner configuration, wenner-schlumberger configuration, and dipole-dipole configuration on soil samples.
... The geometries of the landslide masses, failure planes and areas characterized by high water content were established by analysing longitudinal and transverse electrical resistivity tomography (ERT) profiles (e.g. Lapenna et al. 2003Lapenna et al. , 2005Bichler et al. 2004;Travelletti et al. 2009;Hibert et al. 2012;Colangelo et al. 2008;Colangelo and Perrone 2012;Merritt et al. 2014). The causal factors were established through geotechnical and mineralogical characterizations of the materials involved in the landslides (e.g. ...
In the last several decades, population growth in the cities of the Andes has caused urban areas to expand into landslide-prone areas. Fatal landslides affecting urban settlements are especially frequent in cities located in the Neogene intramontane basins of the Andes. These basins have similar situations and include geographical and geological features that frequently generate ground instabilities. We studied the characteristics of the mass movements observed in these basins by carrying out a detailed analysis of four landslides that have occurred in the Loja Basin (Ecuador). This multi-method study integrated geophysical, geotechnical methods, mineralogical studies and analyses of precipitation time series. Our study characterizes the slope movements as active, slow-moving, complex earthslide earthflows. According to Differential GPS measurements, these landslides move at velocities of up to several metres per year. Electrical resistivity tomography profiles show that most of the landslides are mainly surficial. Time-series analyses of precipitation reveal that rainfall events that are not exceptionally intensive can reactivate these landslides. This characteristic and the development of these landslides on low-gradient slopes are explained using the results obtained from the geotechnical and mineralogical analyses. We find that the smectite clay minerals detected in the mobilized geological formations, combined with the tropical climate of the northern Andean region, induce the observed weak slope stability conditions. The conceptual model for the studied landslides may aid in assessing landslide-prone areas in Loja and other Neogene intramontane basins of the Andes and can help to mitigate the associated risks.
This study had been made in the Süleyman Demirel University West campus, a curved area which has a potential of landslide. The purpose of the study is determined of the landslide geometry with geophysical methods and produced the mechanic and dynamic properties of landslide mass. Therefore, firstly, information has been gathered about the geology and precipitation potential of region. In addition to, drilling studies which are near the geophysical profiles in the region and soil mechanics experiment results of bruised samples have been provided. To determine the landslide geometry, multi shot seismic refraction, electrical resistivity tomography and 2D surface waves analysis (MASW) methods have been used. With this study 2D MASW method firstly is used to determine landslide geometry and compared with other geophysical methods. For a integrated result, all the data of geophysical methods have been used for estimations and suggestions about the landslide potential of the region.
Electric resistivity and seismic refraction methods of geophysics are used to investigate for environmental, engineering and different geological problems. These methods are also referenced as the primary survey methods in landslide survey
Electric resistivity and seismic refraction methods of geophysics are used to investigate for environmental, engineering and different geological problems. These methods are also referenced as the primary survey methods in landslide survey.
In this study, electrical resistivity tomography (ERT) and multi-shot seismic refraction (MSSR) methods are conducted to determine the characteristic of the potential landslide geometry and material properties in the Süleyman Demirel University West Campus area where shallow surface slip occurred. Landslide geometry and mechanical properties of soil are determined based on the 2- dimensional inversion of seismic refraction and electrical resistivity tomography data.
The structures located on the heel of the landslide are considered as an element which prevented a large mass movement in the area. However, surface slip increases with increasing rainfall and therefore, construction of structures which form an additional load should be avoided in this area.
