Abstract
This paper presents a recent rainfall-induced landslide in China that occurred on August 21, 2020 and resulted in nine deaths. The sliding material traveled a distance of 800 m, with an altitude difference of about 180 m. A field investigation, remote sensing based on an unmanned aerial vehicle (UAV), in situ monitoring, and a rainfall data analysis were carried out to reveal the deposit characteristics, causative factors, post-landslide behavior, and the mechanism of the landslide. A saltatory micro-relief of the original slope determined the multiple-stage failure type of the slide, and also promoted the entrainment effect during the landslide movement. After the first-initiation sliding stage, the motion of this landslide involved typical progressive movement, and over time, the style of the runout generally turned into a flow-like form. Furthermore, the antecedent cumulative rainfall of 149.5 mm directly contributed to the occurrence of the landslide. Using the GB-SAR early warning system, the post-landslide residual failure was successfully predicted 10 min in advance. The combination of the UAV and GB-SAR technique can surely be beneficial for other inaccessible landslide investigations as well and improves the emergency rescue security.
Highlights
Rainfall-induced landslides are one of the most disastrous hazards in mountainous regions, and can cause considerable casualties and great economic losses [1,2,3,4]
In extreme rainfall events, landslides often occur in clusters that can be of dire consequences
This paper presents a case study illustrating the use of a unmanned aerial vehicle (UAV) to investigate a recent rainfall-induced landslide and Ground-based SAR (GB-SAR) to monitor the post-landslide deformation
Summary
Rainfall-induced landslides are one of the most disastrous hazards in mountainous regions, and can cause considerable casualties and great economic losses [1,2,3,4]. The GB-SAR is a terrestrial remote sensing imaging system based on radar, which has developed to an extent where it can present powerful management of geological disasters It is known for its high geometric accuracy, high sampling frequency and strong adaptability to mountainous area. This paper presents a case study illustrating the use of a UAV to investigate a recent rainfall-induced landslide and GB-SAR to monitor the post-landslide deformation. GB-SAR was implemented to monitor the behavior of the post-landslide slope, allowing safety and efficiency of emergency rescue and mitigation. This proposed approach provides an easy-conducted and efficient workflow for back-analyzing and monitoring of a landslide. The results of this paper could serve as a foundation for future research on rainfall-induced landslides, which gives new insights into landslide prevention and mitigation
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