Deformation monitoring and analysis of liujiaxia reservoir landslide based on time-series InSAR and wavelet transform

Abstract

The periodic storage and release of water in reservoirs have the potential to accelerate deformation or trigger ancient landslides. Interferometric synthetic aperture radar (InSAR) technology, renowned for its wide coverage and high precision, has emerged as an effective technique for the identification and monitoring of landslides. This study utilized spaceborne InSAR technology to identify and interpret landslides in the Liujiangxia reservoir area in China, leading to the detection of a total of 20 landslides. Moreover, among these 20 landslides, the landslide with substantial deformation (LJX02) was chosen, and the wavelet quantitative analysis technique was employed to investigate the correlation and time lag between various elevation positions of this landslide, the reservoir water level, and rainfall. The study successfully demonstrated that the deformation of the landslide lagged behind the reservoir water level by 152.10-182.50 days (from low to high elevation) and was delayed by 45.60-68.44 days compared to rainfall (from high to low elevation).

Keywords:

• reservoir landslides
• SBAS-InSAR technique
• deformation monitoring
• wavelet transform

Acknowledgments

I would like to express my gratitude to myself for fighting this battle alone.

Data availability statement

The data presented in this study are available on request from the first or corresponding authors.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the [Funding Agency Key Research and Development Plan of the Tibet Autonomous Region Department of Science and Technology] under Grant [number XZ202201ZY0003G]; and [Funding Agency Key Research and Development Plan of the Tibet Autonomous Region Department of Science and Technology] under Grant [number XZ202001ZY0056G].