Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging

dc.contributor.authorChen, Yunfeng
dc.contributor.authorSaygin, Erdinc
dc.contributor.authorKennett, Brian
dc.contributor.authorQashqai, Mehdi Tork
dc.contributor.authorHauser, Juerg
dc.contributor.authorLumley, David
dc.contributor.authorSandiford, Mike
dc.date.accessioned2024-09-09T00:13:38Z
dc.date.available2024-09-09T00:13:38Z
dc.date.issued2023
dc.date.updated2024-04-21T08:15:40Z
dc.description.abstractThe proliferation of seismic networks in Australia has laid the groundwork for high-resolution probing of the continental crust. Here we develop an updated 3D shear-velocity model using a large dataset containing nearly 30 years of seismic recordings from over 1600 stations. A recently-developed ambient noise imaging workflow enables improved data analysis by integrating asynchronous arrays across the continent. This model reveals fine-scale crustal structures at a lateral resolution of approximately 1-degree in most parts of the continent, highlighted by 1) shallow low velocities (<3.2 km/s) well correlated with the locations of known sedimentary basins, 2) consistently faster velocities beneath discovered mineral deposits, suggesting a whole-crustal control on the mineral deposition process, and 3) distinctive crustal layering and improved characterization of depth and sharpness of the crust-mantle transition. Our model sheds light on undercover mineral exploration and inspires future multi-disciplinary studies for a more comprehensive understanding of the mineral systems in Australia.
dc.description.sponsorshipThis work would not have been possible without decades of data collection efforts. We acknowledge AuScope, AusPass, Geoscience Australia, Australian National University, University of Melbourne, University of Western Australia and Geological Survey of Western Australia for collecting and sharing the seismic data. This research was fully funded by the Deep Earth Imaging Future Science Platform, CSIRO. This work is financially supported by the National Natural Science Foundation of China (42274059) to Y.C and Fundamental Research Funds for the Central Universities (NO. K20220232). This work was supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1885/733716201
dc.language.isoen_AUen_AU
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.publisherSpringer Nature
dc.rights© 2023 The authors
dc.rights.licenseCreative Commons Attribution licence
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceNature Communications
dc.titleNext-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging
dc.typeJournal article
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue1
local.contributor.affiliationChen, Yunfeng, Nanjing University
local.contributor.affiliationSaygin, Erdinc, University of Western Australia
local.contributor.affiliationKennett, Brian, College of Science, ANU
local.contributor.affiliationQashqai, Mehdi Tork, CSIRO
local.contributor.affiliationHauser, Juerg, CSIRO Earth Science and Resource Engineering
local.contributor.affiliationLumley, David, The University of Texas
local.contributor.affiliationSandiford, Mike, The University of Melbourne
local.contributor.authoruidKennett, Brian, u8413736
local.description.notesImported from ARIES
local.identifier.absfor370609 - Seismology and seismic exploration
local.identifier.absseo250399 - Mineral exploration not elsewhere classified
local.identifier.absseo280107 - Expanding knowledge in the earth sciences
local.identifier.ariespublicationa383154xPUB40515
local.identifier.citationvolume14
local.identifier.doi10.1038/s41467-023-36514-z
local.identifier.scopusID2-s2.0-85149342446
local.publisher.urlhttps://www.nature.com/
local.type.statusPublished Version
publicationvolume.volumeNumber14

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