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ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 13 - 2025 | doi: 10.3389/feart.2025.1549734
This article is part of the Research Topic High-Altitude and Long-Runout Landslide Dynamics: Theory, Methods, and Applications View all 3 articles
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The frequency and magnitude of landslide disasters triggered by heavy rainfall are on the rise. Investigating the mechanisms behind landslide formation and assessing their stability is essential for enhancing our capabilities in the prevention and control of such disasters. This paper analyzes and summarizes the fundamental characteristics and formation mechanisms of the Shatianpo landslide. Using Geostudio software, we assessed the stability of the landslide under varying rainfall intensities, different support methods, and the combined effects of earthquakes and rainfall. The results indicate that the slope range is unstable under high rainfall intensities, whereas it is lack of stable or basically stable under low rainfall intensities. The stability coefficient of the slope can be improved by 0.3 to 0.5 with the implementation of antislide piles, and its condition can shift from unstable to stable during heavy rainfall events. Furthermore, the research on various anchor bolt support parameters reveals that optimal slope stabilization is achieved when the anchor bolt length is 15 meters, with a spacing of 2.5 meters between bolts, an anchorage angle of 25°, and anchor placement situated at the middle and front sections of the landslide. Notably, under identical earthquake intensities, the stability coefficient is greater during short-duration heavy rainfall compared to long-duration weak rainfall. This study provides valuable insights for the stability analysis and selection of support measures for similar slopes in the region.
Keywords: landslide, Rainfall intensity, Support method, earthquake, coupling effect, GeoStudio, stability analysis
Received: 21 Dec 2024; Accepted: 28 Feb 2025.
Copyright: © 2025 Zheng, Zhang, Meng, Hu, Zou, Xiang and Luo. 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:
Yan Zhang, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China
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.
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