Journal
LANDSLIDES
Volume 18, Issue 8, Pages 2721-2737Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10346-021-01659-9
Keywords
Compound landslide; InSAR; H; V method; Landslide triggers; Bolivia
Funding
- National Natural Science Foundation of China [41941019]
- China Scholarship Council [201806270247]
- European Union [778360, 645665]
- UK Natural Environment Research Council (NERC) through the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) [come30001]
- UK Natural Environment Research Council (NERC) through LICS project [NE/K010794/1]
- European Space Agency through the ESA-MOST DRAGON-4 project [32244]
- Fundamental Research Funds for the Central Universities, CHD [300102260301, 300102260404]
- European Space Agency through the ESA-MOST DRAGON-5 project [59339]
- Marie Curie Actions (MSCA) [645665] Funding Source: Marie Curie Actions (MSCA)
- NERC [NE/K010794/1, come30001] Funding Source: UKRI
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This study integrated Interferometric Synthetic Aperture Radar (InSAR) measurements with seismic noise in situ measurements to analyze the surface and subsurface characteristics of a complex slow-moving landslide in Bolivia. Results indicated that the landslide exhibited a compound movement with three different sliding blocks, further evidenced by seismic noise measurements. This study showcased the potential of combining InSAR and seismic noise techniques to understand landslide mechanisms from ground to subsurface.
Interferometric Synthetic Aperture Radar (InSAR) enables detailed investigation of surface landslide movements, but it cannot provide information about subsurface structures. In this work, InSAR measurements were integrated with seismic noise in situ measurements to analyse both the surface and subsurface characteristics of a complex slow-moving landslide exhibiting multiple failure surfaces. The landslide body involves a town of around 6000 inhabitants, Villa de la Independencia (Bolivia), where extensive damages to buildings have been observed. To investigate the spatial-temporal characteristics of the landslide motion, Sentinel-1 displacement time series from October 2014 to December 2019 were produced. A new geometric inversion method is proposed to determine the best-fit sliding direction and inclination of the landslide. Our results indicate that the landslide is featured by a compound movement where three different blocks slide. This is further evidenced by seismic noise measurements which identified that the different dynamic characteristics of the three sub-blocks were possibly due to the different properties of shallow and deep slip surfaces. Determination of the slip surface depths allows for estimating the overall landslide volume (9.18 center dot 10(7) m(3)). Furthermore, Sentinel-1 time series show that the landslide movements manifest substantial accelerations in early 2018 and 2019, coinciding with increased precipitations in the late rainy season which are identified as the most likely triggers of the observed accelerations. This study showcases the potential of integrating InSAR and seismic noise techniques to understand the landslide mechanism from ground to subsurface.
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