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Application of wavefield compressive sensing in surface wave tomography

Zhan, Zhongwen and Li, Qingyang and Huang, Jianping (2018) Application of wavefield compressive sensing in surface wave tomography. Geophysical Journal International, 213 (3). pp. 1731-1743. ISSN 0956-540X. http://resolver.caltech.edu/CaltechAUTHORS:20180627-141429117

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Abstract

Dense arrays allow sampling of seismic wavefield without significant aliasing, and surface wave tomography has benefitted from exploiting wavefield coherence among neighbouring stations. However, explicit or implicit assumptions about wavefield, irregular station spacing and noise still limit the applicability and resolution of current surface wave methods. Here, we propose to apply the theory of compressive sensing (CS) to seek a sparse representation of the surface wavefield using a plane-wave basis. Then we reconstruct the continuous surface wavefield on a dense regular grid before applying any tomographic methods. Synthetic tests demonstrate that wavefield CS improves robustness and resolution of Helmholtz tomography and wavefield gradiometry, especially when traditional approaches have difficulties due to sub-Nyquist sampling or complexities in wavefield.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/gji/ggy082DOIArticle
ORCID:
AuthorORCID
Zhan, Zhongwen0000-0002-5586-2607
Additional Information:© 2018 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society. Accepted 2018 February 27. Received 2018 February 8; in original form 2017 October 17. Published: 15 March 2018. We thank Peter Gerstoft, Victor Tsai, Jack Muir and Mark Simons for helpful discussions. Carl Tape and another anonymous reviewer's comments help clarify the paper. ZZ is partly supported by the NSF 1722879. QL thanks the China Scholarship Council for sponsoring his study at California Institute of Technology. QL and JH are supported by NSFC (41274124), Chinese National 973 Project 2014CB239006 and Major National Oil and Gas Projects (2016ZX05014-001-008 and 2016ZX05002005-007). There are no real data involved in this study.
Group:Seismological Laboratory
Funders:
Funding AgencyGrant Number
NSFEAR-1722879
China Scholarship CouncilUNSPECIFIED
National Natural Science Foundation of China41274124
Chinese National 973 Project2014CB239006
National Science and Technology Major Project2016ZX05014-001-008
National Science and Technology Major Project2016ZX05002005-007
Subject Keywords:Computational seismology; Crustal imaging; Seismic tomography; Surface waves and free oscillations; Wave propagation
Record Number:CaltechAUTHORS:20180627-141429117
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180627-141429117
Official Citation:Zhongwen Zhan, Qingyang Li, Jianping Huang; Application of wavefield compressive sensing in surface wave tomography, Geophysical Journal International, Volume 213, Issue 3, 1 June 2018, Pages 1731–1743, https://doi.org/10.1093/gji/ggy082
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87409
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Jun 2018 21:22
Last Modified:27 Jun 2018 21:22

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