Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions

Abstract 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 b...

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Autores principales:	A. Le Pichon, C. Pilger, L. Ceranna, E. Marchetti, G. Lacanna, V. Souty, J. Vergoz, C. Listowski, B. Hernandez, G. Mazet-Roux, A. Dupont, P. Hereil
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d598aacf2c4c497a89f6f89da41d23b5
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spelling	oai:doaj.org-article:d598aacf2c4c497a89f6f89da41d23b52021-12-02T18:30:51ZUsing dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions10.1038/s41598-021-93942-x2045-2322https://doaj.org/article/d598aacf2c4c497a89f6f89da41d23b52021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93942-xhttps://doaj.org/toc/2045-2322Abstract 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).A. Le PichonC. PilgerL. CerannaE. MarchettiG. LacannaV. SoutyJ. VergozC. ListowskiB. HernandezG. Mazet-RouxA. DupontP. HereilNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q A. Le Pichon C. Pilger L. Ceranna E. Marchetti G. Lacanna V. Souty J. Vergoz C. Listowski B. Hernandez G. Mazet-Roux A. Dupont P. Hereil Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions
description	Abstract 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	article
author	A. Le Pichon C. Pilger L. Ceranna E. Marchetti G. Lacanna V. Souty J. Vergoz C. Listowski B. Hernandez G. Mazet-Roux A. Dupont P. Hereil
author_facet	A. Le Pichon C. Pilger L. Ceranna E. Marchetti G. Lacanna V. Souty J. Vergoz C. Listowski B. Hernandez G. Mazet-Roux A. Dupont P. Hereil
author_sort	A. Le Pichon
title	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_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_sort	using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal stromboli eruptions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d598aacf2c4c497a89f6f89da41d23b5
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Using dense seismo-acoustic network to provide timely warning of the 2019 paroxysmal Stromboli eruptions

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