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Long range infrasound monitoring of Etna volcano

Among ground-based volcano monitoring techniques, infrasound is the only one capable of detecting explosive eruptions from distances of thousands of kilometers. We show how infrasound array analysis, using acoustic amplitude and detection persistency, allows automatic, near-real-time identification...

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Autores principales: Marchetti, E., Ripepe, M., Campus, P., Le Pichon, A., Vergoz, J., Lacanna, G., Mialle, P., Héreil, P., Husson, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884589/
https://www.ncbi.nlm.nih.gov/pubmed/31784608
http://dx.doi.org/10.1038/s41598-019-54468-5
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author Marchetti, E.
Ripepe, M.
Campus, P.
Le Pichon, A.
Vergoz, J.
Lacanna, G.
Mialle, P.
Héreil, P.
Husson, P.
author_facet Marchetti, E.
Ripepe, M.
Campus, P.
Le Pichon, A.
Vergoz, J.
Lacanna, G.
Mialle, P.
Héreil, P.
Husson, P.
author_sort Marchetti, E.
collection PubMed
description Among ground-based volcano monitoring techniques, infrasound is the only one capable of detecting explosive eruptions from distances of thousands of kilometers. We show how infrasound array analysis, using acoustic amplitude and detection persistency, allows automatic, near-real-time identification of eruptions of Etna volcano (Italy), for stations at distances greater than 500 km. A semi-empirical attenuation relation is applied to recover the pressure time history at the source using infrasound recorded at global scale (>500 km). An infrasound parameter (IP), defined as the product between the number of detections, filtered for the expected back-azimuth of Etna volcano, and range corrected amplitude, is compared with the explosive activity at Etna volcano that was associated with aviation color code RED warnings. This shows that, during favourable propagation conditions, global arrays are capable of identifying explosive activity of Etna 87% of the period of analysis without negative false alerts. Events are typically not detected during unfavourable propagation conditions, thus resulting in a time variable efficiency of the system. We suggest that infrasound monitoring on a global scale can provide timely input for Volcanic Ash Advisory Centres (VAAC) even when a latency of ~1 hour, due to propagation time, is considered. The results highlight the capability of infrasound for near-real-time volcano monitoring at a regional and global scale.
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spelling pubmed-68845892019-12-06 Long range infrasound monitoring of Etna volcano Marchetti, E. Ripepe, M. Campus, P. Le Pichon, A. Vergoz, J. Lacanna, G. Mialle, P. Héreil, P. Husson, P. Sci Rep Article Among ground-based volcano monitoring techniques, infrasound is the only one capable of detecting explosive eruptions from distances of thousands of kilometers. We show how infrasound array analysis, using acoustic amplitude and detection persistency, allows automatic, near-real-time identification of eruptions of Etna volcano (Italy), for stations at distances greater than 500 km. A semi-empirical attenuation relation is applied to recover the pressure time history at the source using infrasound recorded at global scale (>500 km). An infrasound parameter (IP), defined as the product between the number of detections, filtered for the expected back-azimuth of Etna volcano, and range corrected amplitude, is compared with the explosive activity at Etna volcano that was associated with aviation color code RED warnings. This shows that, during favourable propagation conditions, global arrays are capable of identifying explosive activity of Etna 87% of the period of analysis without negative false alerts. Events are typically not detected during unfavourable propagation conditions, thus resulting in a time variable efficiency of the system. We suggest that infrasound monitoring on a global scale can provide timely input for Volcanic Ash Advisory Centres (VAAC) even when a latency of ~1 hour, due to propagation time, is considered. The results highlight the capability of infrasound for near-real-time volcano monitoring at a regional and global scale. Nature Publishing Group UK 2019-11-29 /pmc/articles/PMC6884589/ /pubmed/31784608 http://dx.doi.org/10.1038/s41598-019-54468-5 Text en © The Author(s) 2019 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/.
spellingShingle Article
Marchetti, E.
Ripepe, M.
Campus, P.
Le Pichon, A.
Vergoz, J.
Lacanna, G.
Mialle, P.
Héreil, P.
Husson, P.
Long range infrasound monitoring of Etna volcano
title Long range infrasound monitoring of Etna volcano
title_full Long range infrasound monitoring of Etna volcano
title_fullStr Long range infrasound monitoring of Etna volcano
title_full_unstemmed Long range infrasound monitoring of Etna volcano
title_short Long range infrasound monitoring of Etna volcano
title_sort long range infrasound monitoring of etna volcano
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884589/
https://www.ncbi.nlm.nih.gov/pubmed/31784608
http://dx.doi.org/10.1038/s41598-019-54468-5
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