ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geohazards and Georisks
This article is part of the Research TopicFailure Analysis and Risk Assessment of Natural Disasters Through Machine Learning and Numerical Simulation, volume VView all articles
Dynamic Characteristics and Hazard analysis of the High-altitude Landslide Based on Multi-source Data and Numerical Simulation
Provisionally accepted
- 1Chang’an University, Xi'an, China
- 2Observation and Research Station of Geological Disaster in LanZhou, Ministry of Natural Resources, Lanzhou, China, Gansu Institute of Geo-Environment Monitoring, Lanzhou, China, Lanzhou, China
- 3China Institute of Geo-environment Monitoring, Beijing, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
The Bailong River Basin is located on the eastern edge of the Qinghai-Tibet Plateau, where tectonic activities are intense and the geological environment is complex. It is one of the high-incidence areas of high-altitude landslides in China. A total of 316 potential geohazards were identified in the Zhouqu region using the InSAR technique, and their spatial distribution exhibits a clear correlation with regional fault structures. Taking the Lijie landslide as the study subject, this research comprehensively employs high-resolution optical remote sensing, Unmanned Aerial Vehicle (UAV) aerial surveys, in-situ monitoring, and numerical simulation techniques to achieve multi-scale, multi-temporal, and three-dimensional monitoring of the landslide, as well as quantitative simulations of its stability and dynamic evolution process. For the significantly deformed A1 and A2 blocks in the Lijie landslide, GNSS and deep displacement monitoring revealed their spatio-temporal deformation characteristics. Numerical simulation indicated that the two deformed blocks were in a critical unstable state under natural conditions (with safety factors of 0.959 and 0.916 respectively), and would easily transform into debris flows after instability, posing a serious threat to the residents and towns downstream. This study established a landslide hazard assessment system from identification, monitoring to simulation prediction, providing a scientific basis for geological hazards assessment in strong tectonic zones.
Keywords: Landslide hazards, InSAR, In-situ monitoring, numerical simulation, HAZARD ASSESSMENT
Received: 24 Sep 2025; Accepted: 27 Oct 2025.
Copyright: © 2025 Gao, Cui, Zhang, Wang, Wang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Nan Zhang, zhangnancgem@163.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.