Progressive evolution and failure behavior of a Holocene river-damming landslide in the SE Tibetan Plateau, China

Li, Yanyan; Feng, Xuyang; Ye, Aijun; Zhang, Zhihong; Li, Kun; Wang, Qiusheng; Song, Shengyuan

doi:10.1007/s10346-021-01835-x

Cited by 11 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their simulation results were found to be in line with the accumulation characteristics of real landslides, particularly under low residual friction coefficient and medium particle bond strength conditions. Furthermore, the exploration of the long run-out mechanism of a landslide demonstrated that self-lubrication, frictional vaporization, and frictional melting effects might be the main reasons for the reduced frictional resistance of a landslide [45][46][47]. To study typical high-speed, long run-out landslides such as the Donghekou and Wenjiagou landslides triggered by the Wenchuan earthquake, a discrete element method based on the parallel cohesive model can better simulate the debrisisation and fluidization motion process of landslides, reproducing their typical accumulation characteristics, and revealing the destabilization and motion mechanism [48][49][50][51][52].…”

Section: Mechanisms For the Occurrence Of Rock Avalanchementioning

confidence: 99%

Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris—A Case Study

Gong,

Xing,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

In this study, the 1991 rock avalanche, in Touzhai, Zhaotong, Yunnan, China, was considered the study object. The investigation of the landslide accumulation body revealed that the Touzhai rock avalanche accumulation body has the characteristics of wide gradation and poor sorting. A combination of field investigations, indoor and outdoor experiments, and numerical simulations were used to invert the occurrence and spreading range of rock avalanche-debris flow hazards. To invert and analyze its dynamics and the crushing process, a three-dimensional discrete element modeling was performed on the real terrain data. Simulation results showed that the movement time of the numerically simulated Touzhai rock avalanche was approximately 200 s. After 50 s of movement, the peak velocity reached 32 m/s, and the velocity gradually decayed after the sliding mass rubbed violently against the valley floor and collided with the mountain. Due to the meandering nature of the gully, the sliding mass makes its way down the gully and constantly collides with the mountain, making particles appear to climb, with some particles being blocked by the valley. After 150 s of movement, the average velocity rate decreased substantially, and the landslide-avalanche debris reached the mouth of the trench. After 200 s of movement, the average sliding velocity tends to 0 m/s, where the avalanche debris tends to stop and accumulate. When the rock avalanche movement reaches the mouth of the gully, the avalanche debris spreads to the sides as it is no longer bounded by the hills on either side of the narrow gully, eventually forming a ‘trumpet-shaped’ accumulation, and the granular flow simulation matched the findings of the landslide site accumulation.

show abstract

Section: Mechanisms For the Occurrence Of Rock Avalanchementioning

confidence: 99%

Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris—A Case Study

Gong,

Xing,

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Under the disturbance of river erosion, farmland irrigation or road cutting, the maximum principal stress at the foot of the landslide is nearly horizontal and the minimum principal stress is nearly vertical. The sliding rupture surface arises at the 45-ϕ/2 intersection angle in the direction of the first principal stress [45,46]. It continues to expand and penetrate the soft structural surface between the strongly weathered and moderately weathered basalt, and eventually slides monolithically under the traction of the landslide foot.…”

Section: Classification Of Landslide Motion Patternmentioning

confidence: 99%

Integration of Vertical and Horizontal Deformation Derived by SAR Observation for Identifying Landslide Motion Patterns in a Basaltic Weathered Crust Region of Guizhou, China

Zhu

Yao

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

In recent years, due to adverse geological conditions, intense human engineering activities, and extreme weather conditions, catastrophic landslides have frequently occurred in southwest China, causing severe loss of life and property. Identifying the kinematic features of potential landslides can effectively support landslide hazard prevention. This study proposes a remote sensing identification method for rotational, planar traction, and planar thrust slides based on geomorphic features as well as vertical and slope-oriented deformation rates. Rotational landslides are characterized by similar vertical and horizontal deformation rates, with vertical deformation mainly occurring at the head and gradually decreasing along the slope, while horizontal deformation mainly occurs at the foot and gradually increases along the slope. As for the planar slide, the dominant deformation is in the horizontal direction. It is further classified into the planar traction and planar thrust types according to the driving position. The vertical deformation of planar traction slides is concentrated at the foot, while the vertical deformation of planar thrust slides is concentrated at the head of the landslide. We identified 1 rotational landslide, 10 planar traction landslides and 10 planar thrust landslides in the basalt weathering crust area of Guizhou. Field investigations of three landslides verified the method’s accuracy. Combining two-dimensional rainfall and time-series deformations, we found that there is a significant positive correlation between landslide deformation acceleration and precipitation. The landslide kinematic identification method proposed in this paper overcomes the shortcomings of the inability to accurately characterize landslide motion by line-of-sight displacement and realizes the non-contact identification of active landslide motion patterns, which is an essential reference value for geological disaster prevention and control in the study area.

show abstract

Model test study on sliding-toppling composite deformation evolution of anti-dip layered rock slope

Gong

Liu

et al. 2023

Bull Eng Geol Environ

View full text Add to dashboard Cite

Progressive evolution and failure behavior of a Holocene river-damming landslide in the SE Tibetan Plateau, China

Cited by 11 publications

References 51 publications

Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris—A Case Study

Insights into the Movement and Diffusion Accumulation Characteristics of a Catastrophic Rock Avalanche Debris—A Case Study

Integration of Vertical and Horizontal Deformation Derived by SAR Observation for Identifying Landslide Motion Patterns in a Basaltic Weathered Crust Region of Guizhou, China

Model test study on sliding-toppling composite deformation evolution of anti-dip layered rock slope

Contact Info

Product

Resources

About