Crustal imaging with Bayesian inversion of teleseismic P wave coda autocorrelation

Mehdi Tork Qashqai, Erdinc Saygin, B. L.N. Kennett

Research output: Contribution to journalArticle

Abstract

The autocorrelation of the seismic transmission response of a layered medium (autocorrelogram), in the presence of a free surface, corresponds to the reflection response. Despite many studies on the imaging of local structures through retrieval and forward modeling of stacked autocorrelograms, there is limited work on the inversion of these data. In this study, we demonstrate that the probabilistic inversion of autocorrelograms is efficient and can be used as an alternative imaging tool when other approaches are not applicable. Here, we calculate autocorrelograms of teleseismic P wave coda recorded on more than 1,200 permanent and temporary seismic stations across Australia and utilize a Bayesian framework to invert these data for crustal imaging. The results show patterns of structures consistent with those seen in previous crustal models constructed from receiver function, seismic reflection, and refraction methods. The new approach can therefore image large-scale crustal structures comparable to those from other seismological methods.

Original languageEnglish
Pages (from-to)5888-5906
JournalJournal of Geophysical Research: Solid Earth
Volume124
Issue number6
Early online date23 Apr 2019
DOIs
Publication statusPublished - 1 Jun 2019

Fingerprint

teleseismic wave
coda
Autocorrelation
P waves
autocorrelation
P-wave
inversions
Imaging techniques
layered medium
forward modeling
seismic refraction
crustal structure
seismic reflection
retrieval
refraction
receivers
stations
Refraction
method
inversion

Cite this

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abstract = "The autocorrelation of the seismic transmission response of a layered medium (autocorrelogram), in the presence of a free surface, corresponds to the reflection response. Despite many studies on the imaging of local structures through retrieval and forward modeling of stacked autocorrelograms, there is limited work on the inversion of these data. In this study, we demonstrate that the probabilistic inversion of autocorrelograms is efficient and can be used as an alternative imaging tool when other approaches are not applicable. Here, we calculate autocorrelograms of teleseismic P wave coda recorded on more than 1,200 permanent and temporary seismic stations across Australia and utilize a Bayesian framework to invert these data for crustal imaging. The results show patterns of structures consistent with those seen in previous crustal models constructed from receiver function, seismic reflection, and refraction methods. The new approach can therefore image large-scale crustal structures comparable to those from other seismological methods.",
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Crustal imaging with Bayesian inversion of teleseismic P wave coda autocorrelation. / Tork Qashqai, Mehdi; Saygin, Erdinc; Kennett, B. L.N.

In: Journal of Geophysical Research: Solid Earth, Vol. 124, No. 6, 01.06.2019, p. 5888-5906.

Research output: Contribution to journalArticle

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