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Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions
Stromboli Volcano is well known for its persistent explosive activity. On July 3rd and August 28th 2019, two paroxysmal explosions occurred, generating an eruptive column that quickly rose up to 5 km above sea level. Both events were detected by advanced local monitoring networks operated by Istitut...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280234/ https://www.ncbi.nlm.nih.gov/pubmed/34262124 http://dx.doi.org/10.1038/s41598-021-93942-x |
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author | Le Pichon, A. Pilger, C. Ceranna, L. Marchetti, E. Lacanna, G. Souty, V. Vergoz, J. Listowski, C. Hernandez, B. Mazet-Roux, G. Dupont, A. Hereil, P. |
author_facet | Le Pichon, A. Pilger, C. Ceranna, L. Marchetti, E. Lacanna, G. Souty, V. Vergoz, J. Listowski, C. Hernandez, B. Mazet-Roux, G. Dupont, A. Hereil, P. |
author_sort | Le Pichon, A. |
collection | PubMed |
description | Stromboli Volcano is well known for its persistent explosive activity. On July 3rd and August 28th 2019, two paroxysmal explosions occurred, generating an eruptive column that quickly rose up to 5 km above sea level. Both events were detected by advanced local monitoring networks operated by Istituto Nazionale di Geofisica e Vulcanologia (INGV) and Laboratorio di Geofisica Sperimentale of the University of Firenze (LGS-UNIFI). Signals were also recorded by the Italian national seismic network at a range of hundreds of kilometres and by infrasonic arrays up to distances of 3700 km. Using state-of-the-art propagation modeling, we identify the various seismic and infrasound phases that are used for precise timing of the eruptions. We highlight the advantage of dense regional seismo-acoustic networks to enhance volcanic signal detection in poorly monitored regions, to provide timely warning of eruptions and reliable source amplitude estimate to Volcanic Ash Advisory Centres (VAAC). |
format | Online Article Text |
id | pubmed-8280234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82802342021-07-19 Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions Le Pichon, A. Pilger, C. Ceranna, L. Marchetti, E. Lacanna, G. Souty, V. Vergoz, J. Listowski, C. Hernandez, B. Mazet-Roux, G. Dupont, A. Hereil, P. Sci Rep Article Stromboli Volcano is well known for its persistent explosive activity. On July 3rd and August 28th 2019, two paroxysmal explosions occurred, generating an eruptive column that quickly rose up to 5 km above sea level. Both events were detected by advanced local monitoring networks operated by Istituto Nazionale di Geofisica e Vulcanologia (INGV) and Laboratorio di Geofisica Sperimentale of the University of Firenze (LGS-UNIFI). Signals were also recorded by the Italian national seismic network at a range of hundreds of kilometres and by infrasonic arrays up to distances of 3700 km. Using state-of-the-art propagation modeling, we identify the various seismic and infrasound phases that are used for precise timing of the eruptions. We highlight the advantage of dense regional seismo-acoustic networks to enhance volcanic signal detection in poorly monitored regions, to provide timely warning of eruptions and reliable source amplitude estimate to Volcanic Ash Advisory Centres (VAAC). Nature Publishing Group UK 2021-07-14 /pmc/articles/PMC8280234/ /pubmed/34262124 http://dx.doi.org/10.1038/s41598-021-93942-x Text en © The Author(s) 2021 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 Le Pichon, A. Pilger, C. Ceranna, L. Marchetti, E. Lacanna, G. Souty, V. Vergoz, J. Listowski, C. Hernandez, B. Mazet-Roux, G. Dupont, A. Hereil, P. Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title | Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title_full | Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title_fullStr | Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title_full_unstemmed | Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title_short | Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions |
title_sort | using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal stromboli eruptions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280234/ https://www.ncbi.nlm.nih.gov/pubmed/34262124 http://dx.doi.org/10.1038/s41598-021-93942-x |
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