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Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components

Cardenas-Soto, M and Reyes-Pimentel, TA and Tago, J and Natarajan, T (2021) Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components. In: Journal of Seismology, 25 (4). pp. 1089-1102.

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Official URL: https://doi.org/10.1007/s10950-021-10021-4

Abstract

A 3D shear wave velocity model of the subsurface of Popocatépetl volcano was obtained using ambient noise tomography, employing the principal cross-terms of the empirical Green’s function. Daily cross-correlation waveforms were computed from the data recorded by four seismic broadband stations in 2012. Dispersion curves were estimated from the stack of anti-causal and causal parts for the three ground motion components. In the period ranging between 0.5 and 7 s, the radial component provided the most well-defined group velocity dispersion curves for Rayleigh waves. Dispersion curves for long paths (> 9.5 km) suggested the presence of a layered structure with group velocity values ranging from 0.5 to 3.0 km/s. Dispersion curves for short paths (< 7 km) and close to the volcano showed values similar to those for long paths but with a velocity inversion occurring between 3- and 5-s periods. Despite the scarce ray-path coverage, a tomography inversion provided the means to image an S-wave velocity anomaly (2.5–3.0 km/s) in the northern part of the crater at depths not larger than 6 km. The volcano-tectonic seismicity during 2012–2013 was found to be concentrated in the southern segment of this anomaly, which seems to mark a boundary between a solidified body (possibly a product of ancient volcanic craters) and the softer material.

Item Type: Journal Article
Publication: Journal of Seismology
Publisher: Springer Science and Business Media B.V.
Additional Information: The copyright for this article belongs to the Springer Science and Business Media B.V.
Keywords: Ancient crater; Dispersion curve; Empirical Green’s function; Fast marching method; Seismic interferometry; Surface wave tomography; Volcano-tectonic event
Department/Centre: Division of Mechanical Sciences > Centre for Earth Sciences
Date Deposited: 26 Nov 2023 08:03
Last Modified: 26 Nov 2023 08:03
URI: https://eprints.iisc.ac.in/id/eprint/82947

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