Assessment of high-position glacial valleys in Southeast Tibet, China: an integrated approach using remote sensing, UAV, field investigation, and numerical simulation
Congyan Ran,
Shishu Zhang,
Xinfu Xing (),
Haizhu Qu,
Zhanglei Wu,
Da Zheng,
Zhenhui Pan,
Maohong Yao and
Kai Zhang
Additional contact information
Congyan Ran: PowerChina Chengdu Engineering Corporation Limited
Shishu Zhang: PowerChina Chengdu Engineering Corporation Limited
Xinfu Xing: PowerChina Chengdu Engineering Corporation Limited
Haizhu Qu: PowerChina Chengdu Engineering Corporation Limited
Zhanglei Wu: PowerChina Chengdu Engineering Corporation Limited
Da Zheng: Chengdu University of Technology
Zhenhui Pan: PowerChina Chengdu Engineering Corporation Limited
Maohong Yao: PowerChina Chengdu Engineering Corporation Limited
Kai Zhang: PowerChina Chengdu Engineering Corporation Limited
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 7, No 7, 7967-7990
Abstract:
Abstract The destabilization of glacial valley deposits in high position poses a substantial risk to both the valleys themselves and the infrastructure located downstream. However, the inherently challenging accessibility of these high-altitude regions complicates the task of conducting thorough stability assessments. This study introduces a comprehensive identification methodology that integrates remote sensing technology with air-ground surveys to investigate the stability of high-position glacial valleys, thereby laying the groundwork for subsequent stability evaluations in areas prone to deformation. To exemplify the effectiveness of this approach, three glacial valleys situated at an average altitude exceeding 4500 m in Basu County, Southeast Tibet, China, were selected for case study analysis. The findings reveal that significant landslide events within these high-position glacial valleys can be discerned by comparing reference points in optical satellite imagery. In the 2# glacial valley, substantial deformation is concentrated along the central axis, whereas in the 1# and 3# glacial valleys, deformation is predominantly observed in the scarp regions, as determined by Interferometric Synthetic Aperture Radar (InSAR) analysis. The principal sliding zone is identified within the altitudinal transition zone between 4400 and 4700 m. The maximum deformations recorded under a 24-h, 200-year return period rainfall event and a 15-s seismic event with an acceleration of 0.41 g (g = 9.8 m/s2) were 1.66 m and 6.7 m, respectively. This integrated approach provides a practical framework for the investigation of high-position glacial valleys, thereby facilitating the assessment and mitigation of geological hazards in these otherwise inaccessible environments.
Keywords: High-position glacial valley; Remote sensing; InSAR; Geological survey; Stability analysis (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11069-025-07122-5 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:121:y:2025:i:7:d:10.1007_s11069-025-07122-5
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069
DOI: 10.1007/s11069-025-07122-5
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 ().