Deformation responses of landslides to seasonal rainfall based on InSAR and wavelet analysis

Autor: Dongdong Yang, Yanqian Pei, Haijun Qiu, Bingzhe Tang, Ya Liu, Juanjuan Zhang, Zijing Liu, Shuyue Ma
Rok vydání: 2021
Předmět:
Zdroj: Landslides. 19:199-210
ISSN: 1612-5118
1612-510X
Popis: Rainfall-induced landslides are an important type of dangerous natural disaster worldwide and have always been the focus of research. Yet, the impact of seasonal rainfall on landslides at the landscape scale is still poorly understood due to a paucity of effective observation data and appropriate quantitative methods. Therefore, with the support of Interferometic Synthetic Aperture Radar (InSAR) technique, in this study, the time series displacement datum of landslides was accurately recorded, and combined with the time–frequency analysis method, wavelet analysis, the influence of rainfall on the deformation of the landslide in the study area was quantitatively studied. The results suggest that the satellite radar images can effectively record the landslide deformation data and provide data support for further research, whose combination with wavelet analysis has novelty and applicability in the study of rainfall-induced landslides. Both rainfall and landslide deformation have periods of about 1 year on the inter-annual scale, and they also exhibit obvious seasonal variations on the annual scale. There is a strong positive correlation between the two and a lag time of about 45 days. These results provide a basis for the quantitative study of the relationship between rainfall and landslide displacement, which is crucial to effective and reasonable disaster prevention and control.
Databáze: OpenAIRE
Externí odkaz: