Formative Period Tracing and Driving Factors Analysis of the Lashagou Landslide Group in Jishishan County, China

Author:

Fan Qianyou1,Zhang Shuangcheng12ORCID,Niu Yufen3ORCID,Si Jinzhao1ORCID,Li Xuhao1,Wu Wenhui1,Zeng Xiaolong1,Jiang Jianwen1

Affiliation:

1. College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China

2. Observation and Research Station of Ground Fissure and Land Subsidence, Ministry of Natural Resources, Xi’an 710054, China

3. School of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China

Abstract

The continuous downward movement exhibited by the Lashagou landslide group in recent years poses a significant threat to the safety of both vehicles and pedestrians traversing the highway G310. By integrating geomorphological interpretation using multi-temporal optical images, interferometric synthetic aperture radar (InSAR) measurements, and continuous global navigation satellite system (GNSS) observations, this paper traced the formation period of the Lashagou landslide group, and explored its kinematic behavior under external drivers such as rainfall and snowmelt. The results indicate that the formation period can be specifically categorized into three periods: before, during, and after the construction of highway G310. The construction of highway G310 is the direct cause and prerequisite for the formation of the Lashagou landslide group, whereas summer precipitation and spring snowmelt are the external driving factors contributing to its continuous downward movement. Additionally, both the long-term seasonal downslope movement and transient acceleration events are strongly controlled by rainfall, and there is a time lag of approximately 1–2 days between the transient acceleration and heavy rainfall events. This study highlights the benefits of leveraging multi-source remote sensing data to investigate slow-moving landslides, which is advantageous for the implementation of effective control and engineering intervention to mitigate potential landslide disasters.

Funder

National Key Research and Development Program of China

The National Natural Science Foundation of China Projects

Shaanxi Province Science and Technology Innovation Team

The innovation team of ShaanXi Provincial Tri-Qin Scholars with Geoscience Big Data and Geohazard Prevention

Open Project from Observation and Research Station of Ground Fissure and Land Subsidence in Ministry of Natural Resources

Publisher

MDPI AG

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