Near-surface geophysical methods for investigating the Buyukcekmece landslide in Istanbul, Turkey

Yalçınkaya, Eşref; Alp, Hakan; Özel, Oğuz; Görgün, Ethem; Martino, Salvatore; Lenti, Luca; Bourdeau, Céline; Bigarré, Pascal; Coccia, Stella

doi:10.1016/j.jappgeo.2016.08.012

Cited by 38 publications

(15 citation statements)

References 27 publications

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“…According to [2] in the context of landslide characterization, tomographic refractive seismic is most often applied because the P-wave seismic velocity usually shows significant differences between landslides and underlying bedrock. While the results of [3] also showed a very low S-wave velocity value in the landslide area compared to the more stable area around it. This research includes the analysis of geophysical measurements by using refraction seismic method and MASW to determine the vertical and lateral limits of a landslide in Tugurejo.…”

Section: Introductionmentioning

confidence: 82%

Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Prayitna

Utama

Warnana

2019

IJOE

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Ponorogo district morphology form consisting of highlands and hills make this area vulnerable to landslides. Based on the BNPB (National Disaster Management Agency) data from 2013 to 2017, 77 landslides and 35% have occurred in Ngrayun and Slahung sub-districts. One area that has the potential to experience landslides is Tugurejo village in Slahung District. This study aims to determine the physical properties of subsurface rocks using SRT (Seismic Refraction Tomography) and MASW (Multi-channel Analysis of Surface Waves). The seismic velocity distribution defined from the SRT and MASW at the study sites shows a zone with a higher porosity that is interpreted to represent the level and depth of rock mass movement. P-wave velocity and S-wave indicates very low velocity of 500-1200 m/s and 100-250 m/s at depths up to 5 m.

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Section: Introductionmentioning

confidence: 82%

Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Prayitna

Utama

Warnana

2019

IJOE

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show abstract

“…According to [2] in the context of landslide characterization, tomographic refractive seismic is most often applied because the P-wave seismic velocity usually shows significant differences between landslides and underlying bedrock. While the results of [3] also showed a very low S-wave velocity value in the landslide area compared to the more stable area around it. 1 This research includes the analysis of geophysical measurements by using refraction seismic method and MASW to determine the vertical and lateral limits of a landslide in Tugurejo.…”

mentioning

confidence: 82%

“…In recent years, landslide research has been done using geophysical techniques to characterize landslides. One of the frequently used methods is refraction seismic [2], [3]. Landslide analysis is carried out based on the physical properties of rock in the landslide with the surrounding rock which is more stable.…”

mentioning

confidence: 99%

“…Landslide analysis is carried out based on the physical properties of rock in the landslide with the surrounding rock which is more stable. This difference is influenced by several factors such as deformation, fractures, water content, and porosity [3]. According to [2] in the context of landslide characterization, tomographic refractive seismic is most often applied because the P-wave seismic velocity usually shows significant differences between landslides and underlying bedrock.…”

mentioning

confidence: 99%

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Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Prayitna

Utama

Warnana

2019

IJOE

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 Ponorogo district morphology form consisting of highlands and hills make this area vulnerable to landslides. Based on the BNPB (National Disaster Management Agency) data from 2013 to 2017, 77 landslides and 35% have occurred in Ngrayun and Slahung sub-districts. One area that has the potential to experience landslides is Tugurejo village in Slahung District. This study aims to determine the physical properties of subsurface rocks using SRT (Seismic Refraction Tomography) and MASW (Multi-channel Analysis of Surface Waves). The seismic velocity distribution defined from the SRT and MASW at the study sites shows a zone with a higher porosity that is interpreted to represent the level and depth of rock mass movement. P-wave velocity and S-wave indicates very low velocity of 500 -1200 m/s and 100 -250 m/s at depths up to 5 m.

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“…Collapse is a geological phenomenon whereby rock and soil on a steep slope suddenly fail, move downslope, and accumulate at the foot of the slope, as a result of gravity and other external forces [1][2][3][4][5][6][7][8]. Due to the ongoing development of railways, highways, and other projects in western China, slope collapse and landslides are also increasing.…”

Section: Introductionmentioning

confidence: 99%

Prediction Model of Collapse Risk Based on Information Entropy and Distance Discriminant Analysis Method

Liu

et al. 2017

Mathematical Problems in Engineering

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The prediction and risk classification of collapse is an important issue in the process of highway construction in mountainous regions. Based on the principles of information entropy and Mahalanobis distance discriminant analysis, we have produced a collapse hazard prediction model. We used the entropy measure method to reduce the influence indexes of the collapse activity and extracted the nine main indexes affecting collapse activity as the discriminant factors of the distance discriminant analysis model (i.e., slope shape, aspect, gradient, and height, along with exposure of the structural face, stratum lithology, relationship between weakness face and free face, vegetation cover rate, and degree of rock weathering). We employ postearthquake collapse data in relation to construction of the Yingxiu-Wolong highway, Hanchuan County, China, as training samples for analysis. The results were analyzed using the back substitution estimation method, showing high accuracy and no errors, and were the same as the prediction result of uncertainty measure. Results show that the classification model based on information entropy and distance discriminant analysis achieves the purpose of index optimization and has excellent performance, high prediction accuracy, and a zero false-positive rate. The model can be used as a tool for future evaluation of collapse risk.

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Near-surface geophysical methods for investigating the Buyukcekmece landslide in Istanbul, Turkey

Cited by 38 publications

References 27 publications

Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Landslide Analysis Using Seismic Refraction Tomography And MASW: a Case Study in Ponorogo, East Java, Indonesia

Prediction Model of Collapse Risk Based on Information Entropy and Distance Discriminant Analysis Method

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