Identification of a locking segment in a high-locality landslide in Shidaguan, Southwest China

Yuntao Zhou (), Xiaoyan Zhao, Jiajia Zhang and Minghui Meng
Additional contact information
Yuntao Zhou: Southwest Jiaotong University
Xiaoyan Zhao: Southwest Jiaotong University
Jiajia Zhang: Chinese Academy of Geological Sciences
Minghui Meng: Sichuan Huadi Construction Engineering Co., Ltd

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 111, issue 3, No 31, 2909-2931

Abstract: Abstract Identification of a locking segment is crucial to assess the potential runout risk and the overall stability of a high-locality landslide. However, it is difficult to identify a locking segment through field surveys before a landslide failure due to their concealment. Taking the Tizicao landslide—a high-locality landslide in Southwest China—as a field example, this study aims to identify and analyze a locking segment of the landslide. Based on geomorphology and spatial–temporal deformation of the landslide, the characteristics for identifying the locking segment of the Tizicao landslide are analyzed, and the locations and area of the locking segment are determined based on the analytical results. Furthermore, the identification results are interpreted through fieldwork including the displacement monitoring of ground surface and deep parts, borehole drilling, and oblique photography using unmanned aerial vehicles. The results reveal that the locking segment of the Tizicao landslide lies at the southern slope toe and covers an area of approximately 4.69 × 104 m2, accounting for 15.2% of the total area of the landslide. Significantly different characteristics are observed in respect of surface displacement, deep displacement, surface cracks, and sliding zone soil between locking and non-locking segment.

Keywords: High-locality landslide; Geomorphological identification; Spatial–temporal deformation identification; Rock bridge; Locking segment (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-021-05162-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:111:y:2022:i:3:d:10.1007_s11069-021-05162-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-021-05162-1

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().