Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis

9 pages, 5 figures, supplementary material https://doi.org/10.1016/j.jvolgeores.2023.107946.-- Data availability: Seismic and GNSS data used in this study are hosted at IGN data center. Some of the data is open access and for the remaining station data can be obtained upon request (volcanologia@mitm...

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Autores: Suárez, E. D., Domínguez Cerdeña, Itahiza, Villaseñor, Antonio, Sainz-Maza, Sergio, Fresno, Carmen del, García-Cañada, Laura
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/341526
Acesso em linha:http://hdl.handle.net/10261/341526
Access Level:acceso abierto
Palavra-chave:La Palma
Volcano seismology
Volcano monitoring
Volcanic unrest
Automatic processing
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spelling Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysisSuárez, E. D.Domínguez Cerdeña, ItahizaVillaseñor, AntonioSainz-Maza, SergioFresno, Carmen delGarcía-Cañada, LauraLa PalmaVolcano seismologyVolcano monitoringVolcanic unrestAutomatic processing9 pages, 5 figures, supplementary material https://doi.org/10.1016/j.jvolgeores.2023.107946.-- Data availability: Seismic and GNSS data used in this study are hosted at IGN data center. Some of the data is open access and for the remaining station data can be obtained upon request (volcanologia@mitma.es). The data generated in this study (PhaseNet+GaMMa events associated, NonLinLoc and HypoDD catalogs and La Palma 3D Velocity Model) and the configuration files can be found at https://doi.org/10.5281/zenodo.10017626, an open-source repository hosted at Zenodo (Díaz Suarez, 2023). All seismological software used in this work is open source. PhaseNet, GaMMA and HypoDD can be found at https://doi.org/10.5281/zenodo.7023970 (Zhu, 2022). NonLinLoc can be found on Anthony Lomax webpage (http://alomax.free.fr/nlloc/). GNSS data can be found on https://doi.org/10.5281/zenodo.6123266 (De Luca et al., 2022)We have analyzed the seismic series that preceded the La Palma 2021 eruption using a fully automated workflow based on Deep Learning. A new seismic catalog has been obtained that contains twice the number of events as the original manual catalog. The new catalog consists of 5059 absolute locations obtained using a non-linear location method and a 3D velocity model of the island, as well as relative locations by means of double differences method. Our enhanced catalog contains detailed features of seismic migration through the crust. We differentiate the sequence into three stages leading up to the eruption onset using independent seismic parameters: inter-event time variation coefficient, b-value spatial distribution, hypocentral migration and magnitude distribution. Our analysis identifies two magmatic intrusions: The first migrates from the center of the Cumbre Vieja area to the west coast of the island (stage 1), where it stagnates. After two days of seismic quiescence (stage 2), a second intrusion begins near the center of the island and rises to the surface leading to the eruption (stage 3). These results were further validated by GNSS observations and previous geodetic studies. Our findings highlight the usefulness of this type of automated methodology, offering a real-time and accurate response during intense seismic episodesA.V. acknowledges funding from the Severo Ochoa Center of Excellence accreditation CEX2019-000928-S to the Institute of Marine Sciences (ICM-CSIC). This research is funded by the Spanish Research Agency, project PID2020-114682RB-C32/AEI/10.13039/501100011033Peer reviewedElsevierAgencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/341526reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114682RB-C32https://doi.org/10.1016/j.jvolgeores.2023.107946Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3415262026-05-22T06:33:51Z
dc.title.none.fl_str_mv Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
title Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
spellingShingle Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
Suárez, E. D.
La Palma
Volcano seismology
Volcano monitoring
Volcanic unrest
Automatic processing
title_short Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
title_full Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
title_fullStr Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
title_full_unstemmed Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
title_sort Unveiling the pre-eruptive seismic series of the La Palma 2021 eruption: Insights through a fully automated analysis
dc.creator.none.fl_str_mv Suárez, E. D.
Domínguez Cerdeña, Itahiza
Villaseñor, Antonio
Sainz-Maza, Sergio
Fresno, Carmen del
García-Cañada, Laura
author Suárez, E. D.
author_facet Suárez, E. D.
Domínguez Cerdeña, Itahiza
Villaseñor, Antonio
Sainz-Maza, Sergio
Fresno, Carmen del
García-Cañada, Laura
author_role author
author2 Domínguez Cerdeña, Itahiza
Villaseñor, Antonio
Sainz-Maza, Sergio
Fresno, Carmen del
García-Cañada, Laura
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv La Palma
Volcano seismology
Volcano monitoring
Volcanic unrest
Automatic processing
topic La Palma
Volcano seismology
Volcano monitoring
Volcanic unrest
Automatic processing
description 9 pages, 5 figures, supplementary material https://doi.org/10.1016/j.jvolgeores.2023.107946.-- Data availability: Seismic and GNSS data used in this study are hosted at IGN data center. Some of the data is open access and for the remaining station data can be obtained upon request (volcanologia@mitma.es). The data generated in this study (PhaseNet+GaMMa events associated, NonLinLoc and HypoDD catalogs and La Palma 3D Velocity Model) and the configuration files can be found at https://doi.org/10.5281/zenodo.10017626, an open-source repository hosted at Zenodo (Díaz Suarez, 2023). All seismological software used in this work is open source. PhaseNet, GaMMA and HypoDD can be found at https://doi.org/10.5281/zenodo.7023970 (Zhu, 2022). NonLinLoc can be found on Anthony Lomax webpage (http://alomax.free.fr/nlloc/). GNSS data can be found on https://doi.org/10.5281/zenodo.6123266 (De Luca et al., 2022)
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/341526
url http://hdl.handle.net/10261/341526
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114682RB-C32
https://doi.org/10.1016/j.jvolgeores.2023.107946
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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