Characteristics and runout behaviour of the disastrous 28 August 2017 rock avalanche in Nayong, Guizhou, China

Zhu, Yao-Qiang; Xu, Sai; Zhuang, Yu; Dai, Xiaolin; Gang, Lv; Xing, Aiguo

doi:10.1016/j.enggeo.2019.105154

Cited by 47 publications

(10 citation statements)

References 35 publications

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“…At this time, the crack at the top of the mountain expands inward and connects with the inner structural plane of the rock mass, and the dangerous rock mass enters the limit equilibrium state. The occurrence of a large amount of rainfall is a critical inducement of the overall slope instability (Zhu et al 2019). Water enters the slope body along the surface cracks, softening the mudstone and sandstone and increasing the hydrostatic pressure inside the rock mass, leading to instability failure of the rock mass in the ultimate equilibrium state and forming collapse deposits in the gentle slope body at the bottom of the cliff (Fig.…”

Section: Remote Sensing Recognition Of the Deformation Mode Of Mining-induced Landslidesmentioning

confidence: 99%

Detection and characterization of active landslides with multisource SAR data and remote sensing in western Guizhou, China

Zhu

Yao

et al. 2022

Nat Hazards

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The western part of Guizhou is located in the second step of East Asia. Although the area is stratigraphically continuous and the surface is dominated by hard limestone and sandstone, catastrophic landslides often occur, seriously threatening residents' lives and the safety of property. Accurate identi cation of landslides and analysis of their developmental patterns are vital to prevent and reduce the threat of geological disasters. No active landslide survey data cover this region, so this paper identi es the active landslides in the western part of Guizhou by combining surface deformation information, multitemporal optical remote sensing images, geological lithology, and geomorphic features to obtain deformation information from multisource synthetic aperture radar surface data. This process increases the accuracy and reliability of identifying unstable slopes in areas with dense vegetation and steep terrain.By processing 283 Sentinel-1 and PALSAR-2 synthetic aperture radar data, 588 active landslides, 18 of which are high-risk large-scale landslides (landslide groups), are delineated for the rst time in a range of 4.64x10 4 km 2 in the study area. The active landslides mainly include resurrected ancient landslides, reservoir/riverbank landslides, and mining-induced landslides, accounting for 2.4%, 4.1%, and 91.8%, respectively. The spatial distribution of landslides is banded along the cuesta at the edge of an outcrop of coal strata. Landslides are mainly distributed at elevations of 1800-2000 m, with an elevation difference of 50 ~ 100 m and a slope range of 35°~40°. The landslides are characterized by steep slopes, small scales, mass occurrences, and no dominant slope direction, classifying them as cuesta landslides induced by mining disturbance. Furthermore, nuanced remote sensing interpretation of the disaster elements, such as cuesta cliff, tensile cracks, deep and sizeable tensile channels, isolated rock masses, and collapse debris, and their processes of change, reveals that coal mining-disturbed landslides in this region have experienced four primary stages: natural unloading, mining disturbance, displacement acceleration, and slope failure. This is of great signi cance for understanding the genetic mechanism and developmental patterns, as well as the risk assessment, of this region.

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Section: Remote Sensing Recognition Of the Deformation Mode Of Mining-induced Landslidesmentioning

confidence: 99%

Detection and characterization of active landslides with multisource SAR data and remote sensing in western Guizhou, China

Zhu

Yao

et al. 2022

Nat Hazards

View full text Add to dashboard Cite

show abstract

“…The mininginduced landslides and rock avalanches have attracted growing public attention among geological hazards [6]. Many landslides and rock avalanches are reported to regard to the impact of the underground mining activities, such as Huang et al [7], Xu et al [8], Wu and Kulatilake [9], Jiao et al [10], Kulatilake and Ge [11], Zhao et al [12], Fan et al [13], and Zhu et al [14]. These geological disasters share the characteristics of largescale, strong suddenness, and complex causes.…”

Section: Introductionmentioning

confidence: 99%

“…After the avalanche, approximately 1,000,000 m 3 of bedrock debris flow buried some houses of the Pusa village at the toe of the escarpment. Significant casualties and social impacts were recorded [14].…”

Section: Introductionmentioning

confidence: 99%

Deformation and Failure Process of Slope Caused by Underground Mining: A Case Study of Pusa Collapse in Nayong County, Guizhou Province, China

et al. 2022

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Pusa village is located in the karst mountain area of Nayong County, Guizhou Province, China. Laoyingyan mountain rock is gently dipping, the upper part consists of hard rock formations, and the lower part is made up of soft rock composed of 3 coal seams. On August 28, 2017, a massive landslide occurred in this area, resulting in 82,3000 m3 of debris, which resulted in significant casualties and brought up the malaise in society. In this paper, the geological conditions and long-term mining activities in the study area are analyzed by field investigation. The base friction tests and numerical models are used to simulate and analyze the failure and deformation process of Pusa collapse to accommodate the research on the deformation and failure mechanism of the slope and provide better prevention and treatment suggestions. The results show that the Pusa collapse can mainly be attributed to unique geological conditions, underground mining activities, and the topography of the slope. The intensified mining activities promoted the development of fractures and cracks in the slope, resulting in unstable upper slopes. The failure process of the Pusa collapse can be summarized into four-stage: the development of goaves roof deformation, the crest of the slope cracks, intensification of deformation, and occurrence of collapse. The upper slope with high strength rock developed crack-toppling failure. Meanwhile, the upper slope with low strength rock developed subside-crack-sliding failure, and those two failures together contributed to the mechanism of Pusa collapse. Slope deformation and failure mechanism can be summarized as subside-crack-toppling-shear sliding type.

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“…The Pusa landslide induced by underground coal mining in Guizhou Province, China, including heavy rainfall, fault, and complex karst geology, is a perfect candidate to study mining-induced landslide in karst area with heavy rainfall [36]. Although Zhu et al [37] used DAN3D to study the runout behavior of Pusa landslide, there remains a lack of slope failure mechanism analysis induced by coal mining.…”

Section: Introductionmentioning

confidence: 99%

Failure Mechanism of Anti-Inclined Karst Slope Induced by Underground Multiseam Mining

et al. 2022

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There occurred a lot of catastrophic landslides in Southwest China karst areas in recent years. This study numerically simulated the failure process of Pusa landslide by distinct element method (UDEC). The Voronoi diagram algorithm was used to discretize the rock blocks in the upper part of the mining area, and the erosion in sliding source area caused by heavy rainfall was simulated by increasing the block density and reducing the joint strength. Results obtained using UDEC matched the failure process recorded by UAV, and the subsidence of monitoring points on the slope surface was well coincident with the InSAR results. The DEM results are as follows: firstly, under the action of underground coal mining, the overlying strata of the mountain deform toward the goaf and the deformation of the stratum increase significantly with the caving of the roof stratum; and the deep karst fissures in the overlying stratum have an important influence on the deformation of the mountain; the upper strata form a subsidence zone along the fissures, expanding the range of tensile fissures. Secondly, due to the excavation and unloading of the rock masses at the leading edge of the sliding area, the extrusion deformation occurs to the outside of the slope, resulting in the critical instability of sliding area. Finally, with the strength decreasing of rock masses and structural planes by heavy rainfall, the stability of the mountain continues to decrease until the sliding area collapses.

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Characteristics and runout behaviour of the disastrous 28 August 2017 rock avalanche in Nayong, Guizhou, China

Cited by 47 publications

References 35 publications

Detection and characterization of active landslides with multisource SAR data and remote sensing in western Guizhou, China

Detection and characterization of active landslides with multisource SAR data and remote sensing in western Guizhou, China

Deformation and Failure Process of Slope Caused by Underground Mining: A Case Study of Pusa Collapse in Nayong County, Guizhou Province, China

Failure Mechanism of Anti-Inclined Karst Slope Induced by Underground Multiseam Mining

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