Results 81 to 90 of about 3,318 (226)

Ambient noise and ERT data provide insights into the structure of co-seismic rock avalanche deposits in Sichuan (China) [PDF]

open access: hybrid, 2021
Vincenzo Del Gaudio   +5 more
openalex   +1 more source

Temporal Changes of Seismic Velocity Caused by Volcanic Activity at Mt. Etna Revealed by the Autocorrelation of Ambient Seismic Noise

open access: yesFrontiers in Earth Science, 2019
On active volcanoes, ambient noise-based seismic interferometry can be a very useful monitoring tool as it allows to detect very slight variations in seismic velocity associated with magma transported toward the surface.
Raphael S. M. De Plaen   +6 more
doaj   +1 more source

Seismic Ambient Noise [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2019
openaire   +2 more sources

Moho Imaging with Fiber Borehole Strainmeters Based on Ambient Noise Autocorrelation

open access: yesSensors
Moho tomography is important for studying the deep Earth structure and geodynamics, and fiber borehole strainmeters are broadband, low-noise, and attractive tools for seismic observation. Recently, many studies have shown that fiber optic seismic sensors
Guoheng Qi   +4 more
doaj   +1 more source

Seismic Attenuation From Ambient Noise Across the North Sea Ekofisk Permanent Array [PDF]

open access: bronze, 2018
Claire Allmark   +3 more
openalex   +1 more source

Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlationKey points

open access: yesEarthquake Science
This study analyzed ambient seismic noise using the MSNoise package to monitor temporal changes in the underground seismic wave velocity in Mining Area 6 of the Dongtan Coal Mine in China.
Chao Kong   +5 more
doaj   +1 more source

Distributed Acoustic Sensing of Urban Telecommunication Cables for Subsurface Tomography

open access: yesApplied Sciences
With the continuous development of cities and the increasing utilization of underground space, ambient noise seismic imaging has become an essential approach for exploring and monitoring the urban subsurface.
Yanzhe Zhang, Cai Liu, Jing Li, Qi Lu
doaj   +1 more source

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