scholarly journals The Southern Zagros Collisional Orogen: New Insights From Transdimensional Trees Inversion of Seismic Noise

2020 ◽  
Vol 47 (4) ◽  
Author(s):  
S. Pilia ◽  
J. A. Jackson ◽  
R. Hawkins ◽  
A. Kaviani ◽  
M. Y. Ali
Keyword(s):  
Seismic Noise ◽  
Collisional Orogen

scholarly journals Seismic noise tomography in the Chile ridge subduction region

2010 ◽  
Vol 182 (3) ◽  
pp. 1478-1492 ◽  
Author(s):  
A. Gallego ◽  
R. M. Russo ◽  
D. Comte ◽  
V. I. Mocanu ◽  
R. E. Murdie ◽  
...  
Keyword(s):  
Seismic Noise ◽  
Ridge Subduction ◽  
Chile Ridge

scholarly journals Landslide geometry and activity in Villa de la Independencia (Bolivia) revealed by InSAR and seismic noise measurements

Landslides ◽  
2021 ◽  
Author(s):  
Chuang Song ◽  
Chen Yu ◽  
Zhenhong Li ◽  
Veronica Pazzi ◽  
Matteo Del Soldato ◽  
...  
Keyword(s):  
Time Series ◽  
Seismic Noise ◽  
Slip Surface ◽  
Inversion Method ◽  
Subsurface Structures ◽  
Slip Surfaces ◽  
Landslide Volume ◽  
Noise Measurements ◽  
Landslide Body

AbstractInterferometric 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 · 107 m3). 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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