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Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data

Between September and December 2021, the first subaerial volcanic eruption in the Canary Islands in 50 years took place on the island of La Palma. Since November 2021, we have been conducting a long-period magnetotelluric (MT) monitoring experiment at a site located 2.4 km east of the volcanic cone....

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Autores principales: Piña-Varas, P., Ledo, J., Queralt, P., van Dorth, D. Martínez, Marcuello, A., Cabrera-Pérez, I., D’Auria, L., Martí, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517953/
https://www.ncbi.nlm.nih.gov/pubmed/37741929
http://dx.doi.org/10.1038/s41598-023-43326-0
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author Piña-Varas, P.
Ledo, J.
Queralt, P.
van Dorth, D. Martínez
Marcuello, A.
Cabrera-Pérez, I.
D’Auria, L.
Martí, A.
author_facet Piña-Varas, P.
Ledo, J.
Queralt, P.
van Dorth, D. Martínez
Marcuello, A.
Cabrera-Pérez, I.
D’Auria, L.
Martí, A.
author_sort Piña-Varas, P.
collection PubMed
description Between September and December 2021, the first subaerial volcanic eruption in the Canary Islands in 50 years took place on the island of La Palma. Since November 2021, we have been conducting a long-period magnetotelluric (MT) monitoring experiment at a site located 2.4 km east of the volcanic cone. Having continuously recorded data since then, the obtained dataset shows significant changes in resistivity over the fourteen months following the eruption: more than ± 20% in apparent resistivity and ± 2 degrees in phase. These temporal variations in electrical resistivity, recorded continuously using long-period MT during both the syn- and post-eruptive stages, have not been reported to date, making this dataset unique. Four estimated impedances have been selected as representatives of the major temporal changes observed and inverted to generate new 3-D resistivity models. The results provide novel key information on the spatiotemporal evolution of the subsoil's electrical resistivity, enabling the characterization of a set of structures acting as preferred magmatic fluid pathways. Therefore, our study highlights the strong potential of MT as a volcanic monitoring tool and provides new insights about the evolution of the fluid pathways during the post-eruptive stage. These findings enhance our understanding of the magmatic system and may contribute to volcanic hazard mitigation in the future.
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spelling pubmed-105179532023-09-25 Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data Piña-Varas, P. Ledo, J. Queralt, P. van Dorth, D. Martínez Marcuello, A. Cabrera-Pérez, I. D’Auria, L. Martí, A. Sci Rep Article Between September and December 2021, the first subaerial volcanic eruption in the Canary Islands in 50 years took place on the island of La Palma. Since November 2021, we have been conducting a long-period magnetotelluric (MT) monitoring experiment at a site located 2.4 km east of the volcanic cone. Having continuously recorded data since then, the obtained dataset shows significant changes in resistivity over the fourteen months following the eruption: more than ± 20% in apparent resistivity and ± 2 degrees in phase. These temporal variations in electrical resistivity, recorded continuously using long-period MT during both the syn- and post-eruptive stages, have not been reported to date, making this dataset unique. Four estimated impedances have been selected as representatives of the major temporal changes observed and inverted to generate new 3-D resistivity models. The results provide novel key information on the spatiotemporal evolution of the subsoil's electrical resistivity, enabling the characterization of a set of structures acting as preferred magmatic fluid pathways. Therefore, our study highlights the strong potential of MT as a volcanic monitoring tool and provides new insights about the evolution of the fluid pathways during the post-eruptive stage. These findings enhance our understanding of the magmatic system and may contribute to volcanic hazard mitigation in the future. Nature Publishing Group UK 2023-09-23 /pmc/articles/PMC10517953/ /pubmed/37741929 http://dx.doi.org/10.1038/s41598-023-43326-0 Text en © The Author(s) 2023 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
Piña-Varas, P.
Ledo, J.
Queralt, P.
van Dorth, D. Martínez
Marcuello, A.
Cabrera-Pérez, I.
D’Auria, L.
Martí, A.
Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title_full Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title_fullStr Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title_full_unstemmed Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title_short Volcanic monitoring of the 2021 La Palma eruption using long-period magnetotelluric data
title_sort volcanic monitoring of the 2021 la palma eruption using long-period magnetotelluric data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517953/
https://www.ncbi.nlm.nih.gov/pubmed/37741929
http://dx.doi.org/10.1038/s41598-023-43326-0
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