Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland

We present a distributed acoustic sensing (DAS) experiment at Grímsvötn, Iceland. This is intended to investigate volcano-microseismicity at Grímsvötn specifically, and to assess the suitability of DAS as a subglacial volcano monitoring tool in general. In spring 2021, we trenched a 12 km long fiber...

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Main Authors: Klaasen, Sara, Thrastarson, Sölvi, id_orcid:0 000-0003-0931-6776, Çubuk-Sabuncu, Yeşim, Jónsdóttir, Kristín, Gebraad, Lars, id_orcid:0 000-0003-3736-1435, Paitz, Patrick, Fichtner, Andreas
Format: Article in Journal/Newspaper
Language:English
Published: Presse Universitaires de Strasbourg 2023
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/635799
https://doi.org/10.3929/ethz-b-000635799
id ftethz:oai:www.research-collection.ethz.ch:20.500.11850/635799
record_format openpolar
spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/635799 2024-02-27T08:41:38+00:00 Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland Klaasen, Sara Thrastarson, Sölvi id_orcid:0 000-0003-0931-6776 Çubuk-Sabuncu, Yeşim Jónsdóttir, Kristín Gebraad, Lars id_orcid:0 000-0003-3736-1435 Paitz, Patrick Fichtner, Andreas 2023-07-18 application/application/pdf https://hdl.handle.net/20.500.11850/635799 https://doi.org/10.3929/ethz-b-000635799 en eng Presse Universitaires de Strasbourg info:eu-repo/semantics/altIdentifier/doi/10.30909/vol.06.02.301311 info:eu-repo/grantAgreement/EC/H2020/821115 http://hdl.handle.net/20.500.11850/635799 doi:10.3929/ethz-b-000635799 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International Volcanica, 6 (2) Distributed acoustic sensing Volcano monitoring Subglacial volcano Hamiltonian Monte Carlo inversion Magnitudes Earthquakes info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2023 ftethz https://doi.org/20.500.11850/63579910.3929/ethz-b-00063579910.30909/vol.06.02.301311 2024-01-29T00:52:09Z We present a distributed acoustic sensing (DAS) experiment at Grímsvötn, Iceland. This is intended to investigate volcano-microseismicity at Grímsvötn specifically, and to assess the suitability of DAS as a subglacial volcano monitoring tool in general. In spring 2021, we trenched a 12 km long fiber-optic cable into the ice sheet around and within the caldera, followed by nearly one month of continuous recording. An image processing algorithm that exploits spatial coherence in DAS data detects on average ~100 events per day, almost 2 orders of magnitude more than in the regional earthquake catalog. A nonlinear Bayesian inversion reveals the presence of pronounced seismicity clusters, containing events with magnitudes between −3.4 and 1.7. Their close proximity to surface volcanic features suggests a geothermal origin. In addition to painting a fine-scale picture of seismic activity at Grímsvötn, this work confirms the potential of DAS in subglacial volcano monitoring. ISSN:2610-3540 Article in Journal/Newspaper Ice Sheet Iceland ETH Zürich Research Collection
institution Open Polar
collection ETH Zürich Research Collection
op_collection_id ftethz
language English
topic Distributed acoustic sensing
Volcano monitoring
Subglacial volcano
Hamiltonian Monte Carlo inversion
Magnitudes
Earthquakes
spellingShingle Distributed acoustic sensing
Volcano monitoring
Subglacial volcano
Hamiltonian Monte Carlo inversion
Magnitudes
Earthquakes
Klaasen, Sara
Thrastarson, Sölvi
id_orcid:0 000-0003-0931-6776
Çubuk-Sabuncu, Yeşim
Jónsdóttir, Kristín
Gebraad, Lars
id_orcid:0 000-0003-3736-1435
Paitz, Patrick
Fichtner, Andreas
Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
topic_facet Distributed acoustic sensing
Volcano monitoring
Subglacial volcano
Hamiltonian Monte Carlo inversion
Magnitudes
Earthquakes
description We present a distributed acoustic sensing (DAS) experiment at Grímsvötn, Iceland. This is intended to investigate volcano-microseismicity at Grímsvötn specifically, and to assess the suitability of DAS as a subglacial volcano monitoring tool in general. In spring 2021, we trenched a 12 km long fiber-optic cable into the ice sheet around and within the caldera, followed by nearly one month of continuous recording. An image processing algorithm that exploits spatial coherence in DAS data detects on average ~100 events per day, almost 2 orders of magnitude more than in the regional earthquake catalog. A nonlinear Bayesian inversion reveals the presence of pronounced seismicity clusters, containing events with magnitudes between −3.4 and 1.7. Their close proximity to surface volcanic features suggests a geothermal origin. In addition to painting a fine-scale picture of seismic activity at Grímsvötn, this work confirms the potential of DAS in subglacial volcano monitoring. ISSN:2610-3540
format Article in Journal/Newspaper
author Klaasen, Sara
Thrastarson, Sölvi
id_orcid:0 000-0003-0931-6776
Çubuk-Sabuncu, Yeşim
Jónsdóttir, Kristín
Gebraad, Lars
id_orcid:0 000-0003-3736-1435
Paitz, Patrick
Fichtner, Andreas
author_facet Klaasen, Sara
Thrastarson, Sölvi
id_orcid:0 000-0003-0931-6776
Çubuk-Sabuncu, Yeşim
Jónsdóttir, Kristín
Gebraad, Lars
id_orcid:0 000-0003-3736-1435
Paitz, Patrick
Fichtner, Andreas
author_sort Klaasen, Sara
title Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
title_short Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
title_full Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
title_fullStr Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
title_full_unstemmed Subglacial volcano monitoring with fibre-optic sensing: Grímsvötn, Iceland
title_sort subglacial volcano monitoring with fibre-optic sensing: grímsvötn, iceland
publisher Presse Universitaires de Strasbourg
publishDate 2023
url https://hdl.handle.net/20.500.11850/635799
https://doi.org/10.3929/ethz-b-000635799
genre Ice Sheet
Iceland
genre_facet Ice Sheet
Iceland
op_source Volcanica, 6 (2)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.30909/vol.06.02.301311
info:eu-repo/grantAgreement/EC/H2020/821115
http://hdl.handle.net/20.500.11850/635799
doi:10.3929/ethz-b-000635799
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International
op_doi https://doi.org/20.500.11850/63579910.3929/ethz-b-00063579910.30909/vol.06.02.301311
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