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Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging
The 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 amb...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981728/ https://www.ncbi.nlm.nih.gov/pubmed/36864052 http://dx.doi.org/10.1038/s41467-023-36514-z |
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author | Chen, Yunfeng Saygin, Erdinc Kennett, Brian Qashqai, Mehdi Tork Hauser, Juerg Lumley, David Sandiford, Mike |
author_facet | Chen, Yunfeng Saygin, Erdinc Kennett, Brian Qashqai, Mehdi Tork Hauser, Juerg Lumley, David Sandiford, Mike |
author_sort | Chen, Yunfeng |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-9981728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99817282023-03-04 Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging Chen, Yunfeng Saygin, Erdinc Kennett, Brian Qashqai, Mehdi Tork Hauser, Juerg Lumley, David Sandiford, Mike Nat Commun Article The 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. Nature Publishing Group UK 2023-03-02 /pmc/articles/PMC9981728/ /pubmed/36864052 http://dx.doi.org/10.1038/s41467-023-36514-z Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Yunfeng Saygin, Erdinc Kennett, Brian Qashqai, Mehdi Tork Hauser, Juerg Lumley, David Sandiford, Mike Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title | Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title_full | Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title_fullStr | Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title_full_unstemmed | Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title_short | Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging |
title_sort | next-generation seismic model of the australian crust from synchronous and asynchronous ambient noise imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981728/ https://www.ncbi.nlm.nih.gov/pubmed/36864052 http://dx.doi.org/10.1038/s41467-023-36514-z |
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