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

Gong, Yifei; Xing, Xiansen; Li, Yanan; Zhu, Chun; Li, Yanlin; Yan, Jianhua; Le, Huilin; Li, Xiaoshuang

doi:10.3390/rs15215154

Cited by 3 publications

(1 citation statement)

References 50 publications

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“…Landslide density (Ld, Figure 2a): This reflects the material supply for debris flows, thereby influencing the scale of debris flows. When a landslide occurs, a large amount of soil and rocks may collapse [32,33], forming landslide dams that block the channel. If a debris flow occurs at this time, it can result in dam-break effects, amplifying the scale of the debris flow and increasing the likelihood of river blockage.…”

Section: Remote Sensing Interpretation and Gis Analysismentioning

confidence: 99%

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Zeng,

Zhao,

Zheng

et al. 2024

Remote Sensing

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The Bailong River Basin is one of the most developed regions for debris flow disasters worldwide, often causing severe secondary disasters by blocking rivers. Therefore, the early identification of potential debris flow disasters that may block the river in this region is of great significance for disaster risk prevention and reduction. However, it is quite challenging to identify potential debris flow disasters that may block rivers at a regional scale, as conducting numerical simulations for each debris flow catchment would require significant time and financial resources. The purpose of this article is to use public resource data and machine learning methods to establish a relationship model between debris flow-induced river blockage and key influencing factors, thereby economically predicting potential areas at risk for debris flow-induced river blockage disasters. Based on the field investigation, data collection, and remote sensing interpretation, this study selected 12 parameters, including the basin area, basin height difference, relief ratio, circularity ratio, landslide density, fault density, lithology index, annual average frequency of daily rainfall exceeding 40 mm, river width, river discharge, river gradient, and confluence angle, as critical factors to determine whether debris flows will cause river blockages. A relationship model between debris flow-induced river blockage and influencing factors was constructed based on machine learning algorithms. Several machine learning algorithms were compared, and the XGB model performed the best, with a prediction accuracy of 0.881 and an area under the ROC curve of 0.926. This study found that the river width is the determining factor for debris flow blocking rivers, followed by the annual average frequency of daily rainfall exceeding 40 mm, basin height difference, circularity ratio, basin area, and river discharge. The early identification method proposed in this study for river blockage disasters caused by debris flows can provide a reference for the quantitative assessment and pre-disaster prevention of debris flow-induced river blockage chain risks in similar high-mountain gorge areas.

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Section: Remote Sensing Interpretation and Gis Analysismentioning

confidence: 99%

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Zeng,

Zhao,

Zheng

et al. 2024

Remote Sensing

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Characteristics of Rock Avalanche Deposit in Wangjiapo, Ludian Based on UAV Aerial Image Recognition

Han,

Zhang,

Zhou

et al. 2024

Remote Sensing

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Rock avalanche disasters in alpine and gorge regions are frequent and large in scale and cause severe damage. The movement of a rock avalanche is complex and has not been fully studied. The deposits of a rock avalanche can provide valuable insights into its movement process, which is crucial in understanding the rock fragmentation mechanism and predicting disaster-affected areas. Taking the Wangjiapo rock avalanche in Yunnan Province of China as an example, the size, shape and distribution characteristics of the deposit were analyzed based on field surveys, unmanned aerial vehicle (UAV) photography and image recognition technology. Initially, 3062 deposited rock blocks were manually measured in the field. Subsequently, the Particles/Pores and Cracks Analysis System (PCAS) was employed to identify 11,357 rock blocks with an area greater than 0.1 m2 from UAV orthophotos. By comparing the characteristics of the rock blocks obtained through image recognition and manual measurement, the statistical analysis of UAV aerial imagery combined with PACS proved feasible in studying the Wangjiapo rock avalanche. The results showed that the rock block movement was accompanied by fragmentation and sorting processes; furthermore, the roundness increased with the migration distance. Small blocks were more prevalent at the foot of the slope, while irregularly shaped, large blocks dominated in source areas. The movement of huge blocks was characterized by significant potential energy-driven features and inertia advantages, allowing them to travel farther than smaller blocks, and they tended to be concentrated in the central area of the deposit. Additionally, affected by the cementation degree of breccia and the topography, the blocks in the eastern and western deposit areas exhibited different fragmentation and deposition characteristics.

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Study on the Failure Mechanism and Movement Characteristics Prediction of Gongdang Landslide in Linzhi, China

Huang,

Li,

Zhao

et al. 2024

Water

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Instability of landslide accumulation bodies is one of the common geological hazards under the influence of rainfall and water impoundment, especially under the transformation of rainfall patterns caused by global climate changes. Owing to the fact that determining the landslide potential failure mode is vital for preventing landslide disasters, this paper takes the Gongdang landslide as the research object to study the landslide deformation mechanism and predict movement characteristics. Firstly, the geological conditions of the study area and landslide were determined according to the field investigations; secondly, the physical and mechanical parameters of the sliding mass were clarified through laboratory tests. Moreover, the particle flow code (PFC) method was utilized to simulate the potential failure process of the landslide based on the three-dimensional numerical model according to the geological features and the micro-parameters. The results showed that the landslide deformation process lasted approximately 640 s with the stage characteristics of displacement and velocity and presented the evolutionary process with the local instability deformation. The simulation results are of practical significance and application value by effectively illustrating the potential deformation and failure process of the Gongdang landslide, which provides a reference for predicting and preventing the potential failure process of geological hazards in similar engineering through field investigations, laboratory tests, and numerical simulation.

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

Cited by 3 publications

References 50 publications

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Characteristics of Rock Avalanche Deposit in Wangjiapo, Ludian Based on UAV Aerial Image Recognition

Study on the Failure Mechanism and Movement Characteristics Prediction of Gongdang Landslide in Linzhi, China

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