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• W2336064832 abstract "Maps of Rayleigh wave group velocity are presented across Brazil at periods between 6 and 23 s from seismic noise tomography. This range is complementary to previous continent-scale tomographic studies, which generally focus on periods longer than 10 s. By cross-correlating ambient noise recorded at 53 stations from 1996 to 2012, we produce empirical Green's functions between about 550 pairs of stations. From these, group velocity dispersion curves are measured by applying a frequency–time analysis with phase-matched filtering. At periods shorter than 23 s, 200–300 measurements pass the selection criteria, which are based on the signal-to-noise ratio and seasonal variability. Further filtering is performed by rejecting measured velocities too incompatible with maps produced from overdamped tomographic inversions. The final group velocity maps have a spatial resolution typically better than 400–500 km within most of the eastern half of Brazil, and slightly degrading toward shorter and longer periods of the study. The dispersion maps depict a strong correlation with sediment thickness and large-scale geological features, such as the São Francisco craton, surrounding mobile belts and intracratonic basins. The observed trends in group velocity and preliminary 1-D shear velocity models inferred from a Markov chain Monte Carlo exploration at three selected locations, are consistent with previous local seismic studies of the crustal structure. However, comparison with velocities from continent-scale earthquake tomography reveals diverging trends in some regions that deserve further investigation. As broad-band station coverage is rapidly expanding in Brazil, a full inversion to retrieve the 3-D crustal and uppermost mantle structure from ambient noise tomography should become possible in the near future." @default.
• W2336064832 created "2016-06-24" @default.
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• W2336064832 date "2015-09-11" @default.
• W2336064832 modified "2023-10-07" @default.
• W2336064832 title "Rayleigh wave group velocities at periods of 6–23 s across Brazil from ambient noise tomography" @default.
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• W2336064832 doi "https://doi.org/10.1093/gji/ggv343" @default.
• W2336064832 hasPublicationYear "2015" @default.
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