Tracking volcanic explosions using Shannon entropy at Volcán de Colima

Abstract The main objective of this work is to show that Shannon Entropy (SE) calculated on continuous seismic signals can be used in a volcanic eruption monitoring system. We analysed three years of volcanic activity of Volcán de Colima, México, recorded between January 2015 and May 2017. This peri...

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Main Authors: Pablo Rey-Devesa, Janire Prudencio, Carmen Benítez, Mauricio Bretón, Imelda Plasencia, Zoraida León, Félix Ortigosa, Ligdamis Gutiérrez, Raúl Arámbula-Mendoza, Jesús M. Ibáñez
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36964-x
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author Pablo Rey-Devesa
Janire Prudencio
Carmen Benítez
Mauricio Bretón
Imelda Plasencia
Zoraida León
Félix Ortigosa
Ligdamis Gutiérrez
Raúl Arámbula-Mendoza
Jesús M. Ibáñez
author_facet Pablo Rey-Devesa
Janire Prudencio
Carmen Benítez
Mauricio Bretón
Imelda Plasencia
Zoraida León
Félix Ortigosa
Ligdamis Gutiérrez
Raúl Arámbula-Mendoza
Jesús M. Ibáñez
author_sort Pablo Rey-Devesa
collection DOAJ
description Abstract The main objective of this work is to show that Shannon Entropy (SE) calculated on continuous seismic signals can be used in a volcanic eruption monitoring system. We analysed three years of volcanic activity of Volcán de Colima, México, recorded between January 2015 and May 2017. This period includes two large explosions, with pyroclastic and lava flows, and intense activity of less energetic explosion, culminating with a period of quiescence. In order to confirm the success of our results, we used images of the Visual Monitoring system of Colima Volcano Observatory. Another of the objectives of this work is to show how the decrease in SE values can be used to track minor explosive activity, helping Machine Learning algorithms to work more efficiently in the complex problem of distinguishing the explosion signals in the seismograms. We show that the two big eruptions selected were forecasted successfully (6 and 2 days respectively) using the decay of SE. We conclude that SE could be used as a complementary tool in seismic volcano monitoring, showing its successful behaviour prior to energetic eruptions, giving time enough to alert the population and prepare for the consequences of an imminent and well predicted moment of the eruption.
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spelling doaj.art-04aa05717a45475cb299ef38dfcecc5b2023-06-18T11:14:11ZengNature PortfolioScientific Reports2045-23222023-06-0113111110.1038/s41598-023-36964-xTracking volcanic explosions using Shannon entropy at Volcán de ColimaPablo Rey-Devesa0Janire Prudencio1Carmen Benítez2Mauricio Bretón3Imelda Plasencia4Zoraida León5Félix Ortigosa6Ligdamis Gutiérrez7Raúl Arámbula-Mendoza8Jesús M. Ibáñez9Department of Theoretical Physics and Cosmos, Science Faculty, University of GranadaDepartment of Theoretical Physics and Cosmos, Science Faculty, University of GranadaDepartment of Signal Theory, Telematics and Communication, Informatics and Telecommunication School, University of GranadaCentro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de ColimaCentro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de ColimaCentro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de ColimaCentro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de ColimaDepartment of Theoretical Physics and Cosmos, Science Faculty, University of GranadaCentro Universitario de Estudios Vulcanológicos (CUEV), Observatorio Vulcanológico, Universidad de ColimaDepartment of Theoretical Physics and Cosmos, Science Faculty, University of GranadaAbstract The main objective of this work is to show that Shannon Entropy (SE) calculated on continuous seismic signals can be used in a volcanic eruption monitoring system. We analysed three years of volcanic activity of Volcán de Colima, México, recorded between January 2015 and May 2017. This period includes two large explosions, with pyroclastic and lava flows, and intense activity of less energetic explosion, culminating with a period of quiescence. In order to confirm the success of our results, we used images of the Visual Monitoring system of Colima Volcano Observatory. Another of the objectives of this work is to show how the decrease in SE values can be used to track minor explosive activity, helping Machine Learning algorithms to work more efficiently in the complex problem of distinguishing the explosion signals in the seismograms. We show that the two big eruptions selected were forecasted successfully (6 and 2 days respectively) using the decay of SE. We conclude that SE could be used as a complementary tool in seismic volcano monitoring, showing its successful behaviour prior to energetic eruptions, giving time enough to alert the population and prepare for the consequences of an imminent and well predicted moment of the eruption.https://doi.org/10.1038/s41598-023-36964-x
spellingShingle Pablo Rey-Devesa
Janire Prudencio
Carmen Benítez
Mauricio Bretón
Imelda Plasencia
Zoraida León
Félix Ortigosa
Ligdamis Gutiérrez
Raúl Arámbula-Mendoza
Jesús M. Ibáñez
Tracking volcanic explosions using Shannon entropy at Volcán de Colima
Scientific Reports
title Tracking volcanic explosions using Shannon entropy at Volcán de Colima
title_full Tracking volcanic explosions using Shannon entropy at Volcán de Colima
title_fullStr Tracking volcanic explosions using Shannon entropy at Volcán de Colima
title_full_unstemmed Tracking volcanic explosions using Shannon entropy at Volcán de Colima
title_short Tracking volcanic explosions using Shannon entropy at Volcán de Colima
title_sort tracking volcanic explosions using shannon entropy at volcan de colima
url https://doi.org/10.1038/s41598-023-36964-x
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