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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.
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 StyleKai 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 StyleKai 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.
The lack of a detailed landslide inventory makes research on the vulnerability of people to landslides highly limited. In this paper, the authors collect information on the landslides that have caused casualties in China, and established the Landslides Casualties Inventory of China. 100 landslide cases from 2003 to 2012 were utilized to develop an empirical relationship between the volume of a landslide event and the casualties caused by the occurrence of the event. The error bars were used to describe the uncertainty of casualties resulting from landslides and to establish a threshold curve of casualties caused by landslides in China. The threshold curve was then applied to the landslide cases occurred in 2013 and 2014. The validation results show that the estimated casualties of the threshold curve were in good agreement with the real casualties with a small deviation. Therefore, the threshold curve can be used for estimating potential casualties and landslide vulnerability, which is meaningful for emergency rescue operations after landslides occurred and for risk assessment research.
Qigen Lin; Ying Wang; Tianxue Liu; Yingqi Zhu; Qi Sui. The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China. International Journal of Environmental Research and Public Health 2017, 14, 212 .
AMA StyleQigen Lin, Ying Wang, Tianxue Liu, Yingqi Zhu, Qi Sui. The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China. International Journal of Environmental Research and Public Health. 2017; 14 (2):212.
Chicago/Turabian StyleQigen Lin; Ying Wang; Tianxue Liu; Yingqi Zhu; Qi Sui. 2017. "The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China." International Journal of Environmental Research and Public Health 14, no. 2: 212.