Post-critical SsPmp and its Applications to Virtual Deep Seismic Sounding 2: 1D Imaging of the Crust/Mantle and Joint Constraints with Receiver Function

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1093/gji/ggz370. This is version 3 of this Preprint.

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Authors

Tianze Liu, Simon Klemperer, Gabriel Ferragut, Chunquan Yu

Abstract

Virtual Deep Seismic Sounding (VDSS) has recently emerged as a novel method to image the crust-mantle-boundary (CMB) and potentially other lithospheric boundaries. In Liu et al., 2018 (“Part 1”), we showed that the arrival time and waveform of post-critical SsPmp, the post-critical reflection phase at the CMB used in VDSS, is sensitive to multiple attributes of the crust and upper mantle. Here, we present a synthesis on the methodology of deriving Moho depth, crustal average Vp and uppermost mantle Vp from single-station observations of postcritical SsPmp under an 1D assumption. We first verify our methods on synthetic examples and then substantiate it with a case study using data collected by the Yellowknife and POLARIS array in SW Slave Province, which shows good agreement between crustal and upper-mantle properties derived with VDSS and the ones given by previous studies using active source experiments and conventional P receiver functions (PRF). Moreover, we show that PRF-VDSS joint analysis is capable of placing tighter constraint on average crustal composition, which cannot be achieved with either method alone. We demonstrate with our PRF-VDSS joint analysis that the SW Slave Province, Canada has an intermediate crust composition, which likely indicates a Neoarchean age

DOI

https://doi.org/10.31223/osf.io/5dqxs

Subjects

Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Keywords

body waves, Craton, Crustal imaging, Crustal structure, Teleseismic imaging, Crustal composition, Receiver function, Virtual Deep Seismic Sounding

Dates

Published: 2019-03-11 20:16

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License

GNU Lesser General Public License (LGPL) 2.1