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Characterization of pre- and post-failure deformation and evolution of the Shanyang landslide using multi-temporal remote sensing data.

Authors :
Zhan, Jiewei
Sun, Yuemin
Yu, Zhaoyue
Meng, Huanyu
Zhu, Wu
Peng, Jianbing
Source :
Landslides. Jul2024, Vol. 21 Issue 7, p1659-1672. 14p.
Publication Year :
2024

Abstract

On August 12, 2015, a catastrophic landslide occurred in Shanyang County, Shaanxi Province, China, resulting in 7 deaths and 53 missing. This study investigates the lifecycle evolution and failure mechanism of the Shanyang landslide with multi-source remote sensing data, emphasizing the critical role of locked segments in the Shanyang landslide. Differential interferometric analysis and deformation decomposition were utilized to reveal the pre-failure deformation pattern of the Shanyang landslide. Creeping deformation was found along the underlying soft layer 4 months prior to the landslide, with the deformation mainly occurring downslope and controlled by the locked segment at the front edge of the slope. The integration of a 1:1000 pre-failure topographic map and a high-precision post-failure digital elevation model determined the landslide volume to be 1.60 × 106 m3 and revealed a maximum travel distance of 500 m. Combining engineering geological zoning with deformation data, the Shanyang landslide was classified as a typical locked-segment-dominated slide in soft-hard interbedded strata, with rainfall as a key deformation influence factor. Finally, using the time series deformation from SBAS-InSAR, the post-failure stability of the landslide area was analyzed. This study demonstrates the potential of integrating multi-temporal remote sensing techniques to identify the entire deformation and destruction process of landslides and their influencing factors, which offers valuable insights for improving early landslide warnings and hazard assessments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1612510X
Volume :
21
Issue :
7
Database :
Academic Search Index
Journal :
Landslides
Publication Type :
Academic Journal
Accession number :
177992312
Full Text :
https://doi.org/10.1007/s10346-024-02257-1