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Oleg V. Zerkal
Moscow State University

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Conference paper
Published: 22 December 2020 in Understanding and Reducing Landslide Disaster Risk
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The Bureya landslide was formed on December 11, 2018 in the Bureya River valley in the Far East of Russia. It affected metamorphic rocks of the Upper Proterozoic age. The peculiarity of this rock slope failure was that it occurred in winter when air temperature dropped from ca. −3 °C to −37 °C. Landslide had complex structure and was formed in several stages with variable displacement mechanism. The first stage of main displacement can be classified as wedge failure transformed into rock avalanche more than 700 m long (measured from the slope foot) that moved with velocity up to 25–26 m/s. Landslide collapsed into reservoir and formed the splash wave up to 60 m high that washed out the taiga forest on the opposite slope of the valley. During the second stage that followed the first one in few seconds, large block of rock (260 × 280 m) slid down from the eastern part of the headscarp and formed rock avalanche up to 860 m long. The mean velocity of its motion was ~23–25 m/s, while the maximal one in its front could reach ~60 m/s. During the last stage several smaller secondary slides occurred on the slopes of the main landslide body and within the main headscarp. The total volume of the affected rocks can be estimated as 25 million m3, up to 12 million m3 of which were displaced during the first stage, up to 11.8 million m3—during the second stage and up to 1.2 million m3—during the secondary landslides formation. The Bureya landslide formed the natural dam more than 70 m high and up to 550 m wide that split the reservoir into two parts, so that special measures had to be undertaken to restore normal water flow.

ACS Style

Oleg V. Zerkal; Aleksey N. Makhinov; Alexander Strom; Vladimir I. Kim; Michael E. Kharitonov; Igor K. Fomenko. Formation of the 2018 Bureya Landslide, Far East of Russia. Understanding and Reducing Landslide Disaster Risk 2020, 111 -116.

AMA Style

Oleg V. Zerkal, Aleksey N. Makhinov, Alexander Strom, Vladimir I. Kim, Michael E. Kharitonov, Igor K. Fomenko. Formation of the 2018 Bureya Landslide, Far East of Russia. Understanding and Reducing Landslide Disaster Risk. 2020; ():111-116.

Chicago/Turabian Style

Oleg V. Zerkal; Aleksey N. Makhinov; Alexander Strom; Vladimir I. Kim; Michael E. Kharitonov; Igor K. Fomenko. 2020. "Formation of the 2018 Bureya Landslide, Far East of Russia." Understanding and Reducing Landslide Disaster Risk , no. : 111-116.

Conference paper
Published: 21 December 2020 in Understanding and Reducing Landslide Disaster Risk
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Large part of Russian territory (more than 60%) is located within permafrost zone. Cryogenic landslides and related phenomena in the permafrost zone are quite specific and include some types of slope processes that are absent in “warm” regions (e.g. block fields, very thin earth flows with diurnal cycle of activity, etc.). However, common types of landslides in the permafrost zone also have some specific peculiarities. The classification of cryogenic landslides and related phenomena is proposed. Compiling this classification, we considered both seven types of the frozen (permafrost) soil and six well-known landslide types. Role of the permafrost surface in the formation of the sliding surface was considered too, as well as the thermodynamic instability of the permafrost when temperature changes from positive to negative and vise-versa, which is a specific factor of slopes instability typical of the permafrost zone. Peculiarities of various types of the cryogenic landslides evolution and related phenomena at the territory of Russian Federation are described.

ACS Style

Oleg V. Zerkal; Alexander L. Strom. Classification of Cryogenic Landslides and Related Phenomena (by Example of the Territory of Russia). Understanding and Reducing Landslide Disaster Risk 2020, 377 -383.

AMA Style

Oleg V. Zerkal, Alexander L. Strom. Classification of Cryogenic Landslides and Related Phenomena (by Example of the Territory of Russia). Understanding and Reducing Landslide Disaster Risk. 2020; ():377-383.

Chicago/Turabian Style

Oleg V. Zerkal; Alexander L. Strom. 2020. "Classification of Cryogenic Landslides and Related Phenomena (by Example of the Territory of Russia)." Understanding and Reducing Landslide Disaster Risk , no. : 377-383.

Journal article
Published: 19 March 2019 in ISPRS International Journal of Geo-Information
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The mountainous region of Greater Sochi, including the Olympic ski-jump complex area, located in the northern Caucasus, is always subjected to landslides. The weathered mudstone of low strength and potential high-intensity earthquakes are considered as the crucial factors causing slope instability in the ski-jump complex area. This study aims to conduct a seismic slope instability map of the area. A slope map was derived from a digital elevation model (DEM) and calculated using ArcGIS. The numerical modelling of slope stability with various slope angles was conducted using Geostudio. The Spencer method was applied to calculate the slope safety factors (Fs). The pseudostatic analysis was used to compute Fs considering seismic effect. A good correlation between Fs and slope angle was found. Combining these data, sets slope instability maps were achieved. Newmark displacement maps were also drawn according to empirical regression equations. The result shows that the static safety factor map corresponds to the existing slope instability locations in a shallow landslide inventory map. The seismic safety factor maps and Newmark displacement maps may be applied to predict potential landslides of the study area in the case of earthquake occurrence.

ACS Style

Kai Kang; Andrey Ponomarev; Oleg Zerkal; Shiyuan Huang; Qigen Lin. Shallow Landslide Susceptibility Mapping in Sochi Ski-Jump Area Using GIS and Numerical Modelling. ISPRS International Journal of Geo-Information 2019, 8, 148 .

AMA Style

Kai Kang, Andrey Ponomarev, Oleg Zerkal, Shiyuan Huang, Qigen Lin. Shallow Landslide Susceptibility Mapping in Sochi Ski-Jump Area Using GIS and Numerical Modelling. ISPRS International Journal of Geo-Information. 2019; 8 (3):148.

Chicago/Turabian Style

Kai Kang; Andrey Ponomarev; Oleg Zerkal; Shiyuan Huang; Qigen Lin. 2019. "Shallow Landslide Susceptibility Mapping in Sochi Ski-Jump Area Using GIS and Numerical Modelling." ISPRS International Journal of Geo-Information 8, no. 3: 148.