scholarly journals Landslides and dam damage resulting from the Jiuzhaigou earthquake (8 August 2017), Sichuan, China

2018 ◽  
Vol 5 (3) ◽  
pp. 171418 ◽  
Author(s):  
Bo Zhao ◽  
Yun-sheng Wang ◽  
Yong-hong Luo ◽  
Jia Li ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Rock Mass ◽  
Failure Modes ◽  
Water Pressure ◽  
Hanging Wall ◽  
Slope Angle ◽  
Focal Depth ◽  
Slope Aspect ◽  
Jiuzhaigou Earthquake ◽  
Mass Failure ◽  
Rock Mass Failure

At 21.19 on 8 August 2017, an Ms 7.0 earthquake struck the Jiuzhaigou scenic spot in northwestern Sichuan Province, China. The Jiuzhaigou earthquake is a strike-slip earthquake with a focal depth of 20 km at 33.20° N and 103.82° E, and was caused by two concealed faults. According to emergency investigations and remote sensing interpretations, the Jiuzhaigou earthquake triggered 1780 landslides, damaged one dam (Nuorilang Waterfall) and broke one dam (Huohua Lake). The landslides mainly occurred in the Rize Valley and Shuzheng Valley and in Jiuzhai Paradise. The landslides involved hanging wall and back-slope effects, and the slope angle, slope aspect, seismic faults and valley trend were obviously related to the occurrence of the landslides. Specifically, most of the landslides were shallow landslides, rockfalls and rock avalanches and were small in scale. The failure modes of landslides mainly include wedge rock mass failure, residual deposit failure, relaxed rock mass failure and weathered rock mass failure. The initial low stability of the dam coupled with the topographic effect, back-slope effect and excess pore water pressure led to damage to the Nuorilang Waterfall dam.

scholarly journals Rockfall hazard and risk assessments along roads at a regional scale: example in Swiss Alps

2012 ◽  
Vol 12 (3) ◽  
pp. 615-629 ◽  
Author(s):  
C. Michoud ◽  
M.-H. Derron ◽  
P. Horton ◽  
M. Jaboyedoff ◽  
F.-J. Baillifard ◽  
...  
Keyword(s):  
Rock Mass ◽  
Regional Scale ◽  
Slope Angle ◽  
Swiss Alps ◽  
Cumulative Distribution ◽  
Angle Distribution ◽  
Source Areas ◽  
Hazard And Risk ◽  
Mass Failure ◽  
Rock Mass Failure

Abstract. Unlike fragmental rockfall runout assessments, there are only few robust methods to quantify rock-mass-failure susceptibilities at regional scale. A detailed slope angle analysis of recent Digital Elevation Models (DEM) can be used to detect potential rockfall source areas, thanks to the Slope Angle Distribution procedure. However, this method does not provide any information on block-release frequencies inside identified areas. The present paper adds to the Slope Angle Distribution of cliffs unit its normalized cumulative distribution function. This improvement is assimilated to a quantitative weighting of slope angles, introducing rock-mass-failure susceptibilities inside rockfall source areas previously detected. Then rockfall runout assessment is performed using the GIS- and process-based software Flow-R, providing relative frequencies for runout. Thus, taking into consideration both susceptibility results, this approach can be used to establish, after calibration, hazard and risk maps at regional scale. As an example, a risk analysis of vehicle traffic exposed to rockfalls is performed along the main roads of the Swiss alpine valley of Bagnes.

Landslide susceptibility mapping using GIS and Remote Sensing: A case study of the Rangamati District, Bangladesh

2020 ◽  
Author(s):  
Afruja Begum ◽  
Md Shofiqul Islam ◽  
Md. Muyeed Hasan
Keyword(s):  
Remote Sensing ◽  
Water Pressure ◽  
Research Work ◽  
Slope Angle ◽  
Steep Slope ◽  
Landslide Susceptibility Mapping ◽  
Dominant Factor ◽  
Natural Phenomenon ◽  
Slope Aspect ◽  
Gis And Remote Sensing

Abstract The landslide is a natural phenomenon and one of the most commonplace disasters in the Rangamati Hill tract area which appeals for better forecasting and specify the landslide susceptible zonation. This research work examines the application of GIS and Remote Sensing techniques based on different parameters such as altitude, slope angle, slope aspect, rainfall, land-use land-cover (LULC), geology and stream distance by heuristic model to identify the landslide susceptible zones for the study area. Among the parameters, rainfall, steep slope, geology and LULC are the dominant factor that triggering the landslide. Clayey or silty soils of the study area during heavy and prolong rainfall behave a flow of debris due to water pressure within the soil, resulting landslides. Steep slope has greater influences for weather zones of the rock-masses for susceptible landslides. Result and field observation indicate that the population density and LULC has a vital effect on landslide within the study area. However, landslide susceptible zones were created based on the susceptibility map of the study area which shows that about 19.43% of the area are at low susceptible zone, 56.55% of the area are at medium susceptible zone, 19.19% of the area are in the high susceptible zone and 4.81% of the area is at the very high susceptible zone.

scholarly journals Rockfall Investigation and Hazard Assessment from Nang County to Jiacha County in Tibet

2019 ◽  
Vol 10 (1) ◽  
pp. 247 ◽  
Author(s):  
Haiyang Liu ◽  
Xueliang Wang ◽  
Xiaohui Liao ◽  
Juanjuan Sun ◽  
Su Zhang
Keyword(s):  
Rock Mass ◽  
Hazard Assessment ◽  
Cloud Model ◽  
Rapid Development ◽  
Slope Angle ◽  
Project Planning ◽  
Aerial Images ◽  
Slope Aspect ◽  
Human Engineering ◽  
Rockfall Hazard

The influences of rockfall on human engineering have been increasing in Tibet with the rapid development of the western region of China. This study proposed a multi-approach to carry out rockfall investigation and hazard assessment. As a case study, the rockfall hazard from Nang County to Jiacha County in Tibet was assessed. Firstly, we summarized the characteristics of spatial distributions of typical rockfall sources using Digital Elevation Model (DEM) and unmanned aerial vehicle (UAV) aerial images with resolution of 10 m. According to the thresholds of slope angle, slope aspect and elevation distribution of typical rockfall sources, we obtained all of the rockfall source areas in study area semi-automatically in ArcGIS platform. Secondly, we improved the efficiency and accuracy of detailed field investigation by using a three-dimensional (3D) point cloud model and rock mass structure extraction software. According to the analysis result, the dominant joint set was J1, whose orientation was basically consistent with the Yarlung Tsangpo Fault. The combination of J1, J2 and J4 cut the rock mass into blocks of wedge with J1 as potential sliding planes. It was indicated that the stability of the rock mass in study area was mainly controlled by the characters of joint sets. Finally, we applied the improved reclassification criteria of the Rockfall Hazard Vector (RHV) method in rockfall hazard assessment according to protection capabilities of the current protection facilities, making the result more valuable for geohazards prevention work. Based on this multi-approach, we obtained that 10.92% of the 306 provincial highway and 9.38% of the power line were threatened by potential rockfall hazards in study area. The hazard assessment results of study area were also of certain guiding value to the linear project planning and geohazards prevention work.

Evaluating rock mass failure in the vicinity of slot cuts

2008 ◽  
Vol 49 (1) ◽  
pp. 105-108 ◽  
Author(s):  
N. V. Cherdantsev ◽  
V. T. Presler ◽  
V. Yu. Izakson
Keyword(s):  
Rock Mass ◽  
Mass Failure ◽  
Rock Mass Failure
Sign in / Sign up

Export Citation Format

Share Document