The identification of rockfall source areas is a fundamental work for rockfall disaster prevention and mitigation. Based on the Culmann model, a pair of important indicators to estimate the state of slope stability is the relief and slope angles. Considering the limit of field survey and the increasing requirements for identification over a large area, a new approach using the relief–slope angle relationship to identify rockfall source areas controlled by rock mass strength at a regional scale is proposed in this paper. Using data from helicopter-based remote sensing imagery, a digital elevation model of 10 m resolution, and field work, historical rockfalls in the Wolong study area of Tibet where frequent rockfalls occur are identified. A clear inverse relationship between the relief and slope angles of historical rockfalls enables us to calculate the rock mass strength of the landscape scale by the Culmann model and the relief–slope angle relationship curve. Other parameters used in our proposed approach are calculated by ArcGIS and statistic tools. By applying our approach, the potential rockfall source areas in the study are identified and further zoned into three susceptibility classes that could be used as a reference for a regional rockfall susceptibility study. Using the space partition of historical rockfall inventory, our prediction result is validated. Most of the rockfall source areas (i.e., 71.92%) identified in the validation area are occupied by historical rockfalls, which proves the good prediction of our approach. The dominant uncertainty in this paper is derived from the process of calculating rock mass strength, defining the specific area for searching potential rockfall source areas, and the resolution of the digital elevation model.

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.

Debate about relations between rates of fluvial incision and time (the “Sadler effect”) continues, impeding the use of incision rates to infer tectonic and climatic processes. There is a dearth of detailed field evidence that can be used to explore the coupling between tectonics and climate in controlling alluvial channel geometry and incision rates over time scales of 10²−10⁵ yr. We present field data from the Rumei watershed of southeast Tibet, which we obtained by mapping and dating late Pleistocene (ca. 135 ka) fluvial terraces and related channels, measuring channel hydraulic geometry, and calculating channel steepness indexes and incision rates. The evidence indicates that climate forcing is the main driver of sediment production and delivery to streams in the watershed. New aggradation events altered alluvial valley and channel geometry and, coupled with tectonic uplift, affected the rate of channel incision in the catchment. We propose a conceptual model (see pdf for equation) that links uplift-driven incision (see pdf for equation) induced by climate change, which is valid in catchments and other areas. We conclude that the reduction in incision depth caused by climate-driven channel aggradation is significant on short time scales (10²−10⁵ yr), and its cumulative effect contributes to the “Sadler effect” on long time scales (>10⁶ yr).

Rock discontinuities are critical geological features that govern rock mass mechanical behavior. Accurate identification and quantitative characterization of these discontinuities underpin vital applications for slope stability analysis, underground excavation design, and rock blasting. Conventional approaches to large-scale point cloud analysis are often limited by poor fine-scale feature representation and high parameter sensitivity. To address these limitations, this study proposes RL-JointNet, an end-to-end deep learning approach specifically developed for robust discontinuity segmentation. The key novelty of RL-JointNet lies in its enhanced local feature extraction module. This module integrates two main innovations: (1) an explicit relative position encoding to capture fine-scale spatial relationships, and (2) a multi-path feature fusion strategy to better represent complex neighborhood geometries. The model’s effectiveness was validated on high-resolution point cloud datasets from two rock slopes. Results demonstrate superior performance, achieving a Global Accuracy (GA) up to 98.7% and a mean Intersection over Union (mIoU) of 98.1%, with recognition accuracy for individual discontinuity classes consistently exceeding 95%. Crucially, a comprehensive hyperparameter sensitivity analysis revealed that RL-JointNet exhibits significantly enhanced robustness compared to conventional point cloud deep learning models, ensuring consistent performance across diverse engineering scenarios. The proposed RL-JointNet offers a reliable approach for automated discontinuity analysis, thereby enhancing the capability for detailed characterization of large-scale and complex rock masses.

The rock fall trajectory and its mechanisms are the most difficult to predict, owing to the complexity of the slope and the Irregular shape of falling rocks. To acquire a better knowledge of the rock fall mechanism of platy rock and to investigate the influence of various impact parameters, a comprehensive physical model experimental study was undertaken based on 3D printing technology using a high-speed camera and specially developed block release system. Based on the experimental results, the effects of the slope angle on the stopping position, the instantaneous kinetic energy and collision position of platy rock block were analyzed. Meanwhile, the effects of movement forms of platy rock before and after collision on the normal coefficient of restitution and the tangent coefficient of restitution were discussed. It is observed that rock fall trajectory depends not only on slope material characteristics, slope angle but also on factors related to the platy block (weight, size and shape). The experimental results showed the value of restitution coefficient exceeding 1 has an important relation with the combination of various movement forms (including the flip motion) and the change of movement forms of platy rock before and after the collision. A new feasible experimental method for research and prevention of rock fall disaster was put forward. It would be important and helpful to the geo-hazard control work.