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Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning

Earthquake early warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthqu...

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Autores principales: Lior, Itzhak, Rivet, Diane, Ampuero, Jean-Paul, Sladen, Anthony, Barrientos, Sergio, Sánchez-Olavarría, Rodrigo, Villarroel Opazo, German Alberto, Bustamante Prado, Jose Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829724/
https://www.ncbi.nlm.nih.gov/pubmed/36624126
http://dx.doi.org/10.1038/s41598-023-27444-3
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author Lior, Itzhak
Rivet, Diane
Ampuero, Jean-Paul
Sladen, Anthony
Barrientos, Sergio
Sánchez-Olavarría, Rodrigo
Villarroel Opazo, German Alberto
Bustamante Prado, Jose Antonio
author_facet Lior, Itzhak
Rivet, Diane
Ampuero, Jean-Paul
Sladen, Anthony
Barrientos, Sergio
Sánchez-Olavarría, Rodrigo
Villarroel Opazo, German Alberto
Bustamante Prado, Jose Antonio
author_sort Lior, Itzhak
collection PubMed
description Earthquake early warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthquakes on Earth occur underwater, most seismological stations are located on-land; precious seconds may go by before these earthquakes are detected. In this work, we harness available optical fiber infrastructure for EEW using the novel approach of distributed acoustic sensing (DAS). DAS strain measurements of earthquakes from different regions are converted to ground motions using a real-time slant-stack approach, magnitudes are estimated using a theoretical earthquake source model, and ground shaking intensities are predicted via ground motion prediction equations. The results demonstrate the potential of DAS-based EEW and the significant time-gains that can be achieved compared to the use of standard sensors, in particular for offshore earthquakes.
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spelling pubmed-98297242023-01-11 Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning Lior, Itzhak Rivet, Diane Ampuero, Jean-Paul Sladen, Anthony Barrientos, Sergio Sánchez-Olavarría, Rodrigo Villarroel Opazo, German Alberto Bustamante Prado, Jose Antonio Sci Rep Article Earthquake early warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthquakes on Earth occur underwater, most seismological stations are located on-land; precious seconds may go by before these earthquakes are detected. In this work, we harness available optical fiber infrastructure for EEW using the novel approach of distributed acoustic sensing (DAS). DAS strain measurements of earthquakes from different regions are converted to ground motions using a real-time slant-stack approach, magnitudes are estimated using a theoretical earthquake source model, and ground shaking intensities are predicted via ground motion prediction equations. The results demonstrate the potential of DAS-based EEW and the significant time-gains that can be achieved compared to the use of standard sensors, in particular for offshore earthquakes. Nature Publishing Group UK 2023-01-09 /pmc/articles/PMC9829724/ /pubmed/36624126 http://dx.doi.org/10.1038/s41598-023-27444-3 Text en © The Author(s) 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lior, Itzhak
Rivet, Diane
Ampuero, Jean-Paul
Sladen, Anthony
Barrientos, Sergio
Sánchez-Olavarría, Rodrigo
Villarroel Opazo, German Alberto
Bustamante Prado, Jose Antonio
Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title_full Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title_fullStr Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title_full_unstemmed Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title_short Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
title_sort magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829724/
https://www.ncbi.nlm.nih.gov/pubmed/36624126
http://dx.doi.org/10.1038/s41598-023-27444-3
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