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Surface wave dispersion measurements from ambient seismic noise analysis in Italy

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TLDR
In this article, the surface wave dispersion results of the application of the ambient noise method to broad-band data recorded at 114 stations from the Istituto Nazionale di Geofisica e Vulcanologia (INGV) national broadband network, some stations of the Mediterranean Very Broadband Seismographic Network (MedNet) and of the Austrian Central Institute for Meteorology and Geodynamics (ZAMG).
Abstract
SUMMARY We present the surface wave dispersion results of the application of the ambient noise method to broad-band data recorded at 114 stations from the Istituto Nazionale di Geofisica e Vulcanologia (INGV) national broad-band network, some stations of the Mediterranean Very Broadband Seismographic Network (MedNet) and of the Austrian Central Institute for Meteorology and Geodynamics (ZAMG). Vertical-component ambient noise data from 2005 October to 2007 March have been cross-correlated for station-pairs to estimate fundamental mode Rayleigh wave Green's functions. Cross-correlations are calculated in 1-hr segments, stacked over periods varying between 3 months and 1.5 yr. Rayleigh wave group dispersion curves at periods from 8 to 44 s were determined using the multiple-filter analysis technique. The study region was divided into a 0.2°× 0.2° grid to invert for group velocity distributions. Checkerboard tests were first carried out, and the lateral resolution was estimated to be about 0.6°. The resulting group velocity maps from 8 to 36 s show the significant difference of the crustal structure and good correlations with known geological and tectonic features in the study region. The Po Plain and the Southern Alps evidence lower group velocities due to soft alluvial deposits, and thick terrigenous sediments. Our results also clearly showed that the Tyrrhenian Sea is characterized with much higher velocities below 8 km than the Italian peninsula and the Adriatic Sea which indicates a thin oceanic crust beneath the Tyrrhenian Sea.

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Mapping seismic anisotropy using harmonic decomposition of receiver functions: An application to Northern Apennines, Italy

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On the limitations of interstation distances in ambient noise tomography

TL;DR: In this article, Luo et al. presented the results of a multi-scale imaging lab at the China University of Geosciences in Wuhan, Hubei, China.
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Ambient noise tomography with a large seismic array

TL;DR: The capabilities and limitations of a method called "eikonal tomography" applied to ambient noise data are discussed in this article, where surface wave wave wavefronts are tracked across an array and the gradient of the travel time field produces estimates of phase slowness and propagation direction.
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The Distribution of the Mid-to-Lower Crustal Low-Velocity Zone Beneath the Northeastern Tibetan Plateau Revealed from Ambient Noise Tomography

TL;DR: In this article, the authors collected continuous seismic data recorded between 2007 and 2010 by 208 broadband stations from the Chinese Provincial Digital Seismic Networks (CPDSN) and the Northeastern Tibet Experiment (NTE) and extracted the Rayleigh wave empirical Green's functions.
References
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