| Citation: | LIU Yiliang，FAN Xifeng，SHEN Gaowei，et al. Analysis of spatio-temporal deformation characteristics of the Muyubao landslide via time series InSAR technology[J]. Bulletin of Geological Science and Technology，2025，44（2）：1-16 doi: 10.19509/j.cnki.dzkq.tb20240489
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Since the impoundment of the Three Gorges Reservoir Area in 2003, the Muyubao landslide has continuously deformed, posing significant risks to Yangtze River navigation and the safety of people's lives and property in the reservoir area.
To more comprehensively and accurately analyze the surface deformation information of the landslide,
this study employs the Stanford method for persistent scatterers-multi-temporal InSAR (StaMPS-MTI) and small baseline subset InSAR (SBAS-InSAR) technology, combined with Sentinel-1 data, to invert the deformation information of the Muyubao landslide from 2017 to 2022. The deformation information is compared with GNSS monitoring data, and a regional analysis of the spatio-temporal deformation characteristics of the landslide is conducted by integrating the advantages of both technologies through a combination of point and surface measurements.
The results confirm that the deformation information obtained by InSAR technology is reliable, and each time-series InSAR technology has its own strengths and limitations. Specifically, the deformation rate intervals are as follows: the eastern slope of the landslide (−30.6 to −46.2 mm/year) > the eastern side of the major slipping plane (−25.2 to −37.8 mm/year) > the western side of the major slipping plane (−21.5 to −31.5 mm/year).
Based on the InSAR deformation results and previous studies, the deformation mode of the Muyubao landslide can be summarized as follows: the landslide undergoes overall and local deformation influenced by rainfall and reservoir water levels. During high water level periods, buoyancy-induced weight loss causes overall deformation, with a critical water level threshold of approximately 168 m. Heavy rainfall infiltrates the rock mass, raising the groundwater level, which promotes overall deformation and triggers local deformation in shallow soil and fractured rock masses. During the reservoir water decline period, the landslide is influenced by both buoyancy-induced weight loss and hydrodynamic pressure, with buoyancy effects being dominant; the hydrodynamic pressure effect lags by about 36 days. During low water level and rising water periods, overall deformation ceases, and heavy rainfall primarily causes localized deformation. The results indicate that time-series InSAR technology can effectively identify and monitor landslides, providing technical support for geological disaster prevention and risk assessment.
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