Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields
Volcanic inflation and deflation often precede eruptions and can lead to seismic velocity changes (dv/v) in the subsurface. Recently, interferometry on the coda of ambient noise-cross-correlation functions yielded encouraging results in detecting these changes at active volcanoes. Here, we analyze s...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5015811 2023-06-11T04:13:36+02:00 Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields Makus, P. Sens-Schönfelder, C. Illien, L. Walter, T. Yates, A. Tilmann, F. 2023 application/pdf https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811_3/component/file_5016674/5015811.pdf unknown info:eu-repo/semantics/altIdentifier/doi/10.1029/2022JB025738 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811_3/component/file_5016674/5015811.pdf info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/ Journal of Geophysical Research: Solid Earth info:eu-repo/semantics/article 2023 ftgfzpotsdam https://doi.org/10.1029/2022JB025738 2023-05-07T23:38:37Z Volcanic inflation and deflation often precede eruptions and can lead to seismic velocity changes (dv/v) in the subsurface. Recently, interferometry on the coda of ambient noise-cross-correlation functions yielded encouraging results in detecting these changes at active volcanoes. Here, we analyze seismic data recorded at the Klyuchevskoy Volcanic Group in Kamchatka, Russia, between summer 2015 and summer 2016 to study signals related to volcanic activity. However, ubiquitous volcanic tremors introduce distortions in the noise wavefield that cause artifacts in the dv/v estimates masking the impact of physical mechanisms. To avoid such instabilities, we propose a new technique called time-segmented passive image interferometry. In this technique, we employ a hierarchical clustering algorithm to find periods in which the wavefield can be considered stationary. For these periods, we perform separate noise interferometry studies. To further increase the temporal resolution of our results, we use an AI-driven approach to find stations with similar dv/v responses and apply a spatial stack. The impacts of snow load and precipitation dominate the resulting dv/v time series, as we demonstrate with the help of a simple model. In February 2016, we observe an abrupt velocity drop due to the M7.2 Zhupanov earthquake. Shortly after, we register a gradual velocity increase of about 0.3% at Bezymianny Volcano coinciding with surface deformation observed using remote sensing techniques. We suggest that the inflation of a shallow reservoir related to the beginning of Bezymianny’s 2016/2017 eruptive cycle could have caused this local velocity increase and a decorrelation of the correlation function coda. Article in Journal/Newspaper Kamchatka GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Journal of Geophysical Research: Solid Earth 128 4 |
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Open Polar |
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GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
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ftgfzpotsdam |
language |
unknown |
description |
Volcanic inflation and deflation often precede eruptions and can lead to seismic velocity changes (dv/v) in the subsurface. Recently, interferometry on the coda of ambient noise-cross-correlation functions yielded encouraging results in detecting these changes at active volcanoes. Here, we analyze seismic data recorded at the Klyuchevskoy Volcanic Group in Kamchatka, Russia, between summer 2015 and summer 2016 to study signals related to volcanic activity. However, ubiquitous volcanic tremors introduce distortions in the noise wavefield that cause artifacts in the dv/v estimates masking the impact of physical mechanisms. To avoid such instabilities, we propose a new technique called time-segmented passive image interferometry. In this technique, we employ a hierarchical clustering algorithm to find periods in which the wavefield can be considered stationary. For these periods, we perform separate noise interferometry studies. To further increase the temporal resolution of our results, we use an AI-driven approach to find stations with similar dv/v responses and apply a spatial stack. The impacts of snow load and precipitation dominate the resulting dv/v time series, as we demonstrate with the help of a simple model. In February 2016, we observe an abrupt velocity drop due to the M7.2 Zhupanov earthquake. Shortly after, we register a gradual velocity increase of about 0.3% at Bezymianny Volcano coinciding with surface deformation observed using remote sensing techniques. We suggest that the inflation of a shallow reservoir related to the beginning of Bezymianny’s 2016/2017 eruptive cycle could have caused this local velocity increase and a decorrelation of the correlation function coda. |
format |
Article in Journal/Newspaper |
author |
Makus, P. Sens-Schönfelder, C. Illien, L. Walter, T. Yates, A. Tilmann, F. |
spellingShingle |
Makus, P. Sens-Schönfelder, C. Illien, L. Walter, T. Yates, A. Tilmann, F. Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
author_facet |
Makus, P. Sens-Schönfelder, C. Illien, L. Walter, T. Yates, A. Tilmann, F. |
author_sort |
Makus, P. |
title |
Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
title_short |
Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
title_full |
Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
title_fullStr |
Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
title_full_unstemmed |
Deciphering the Whisper of Volcanoes: Monitoring Velocity Changes at Kamchatka’s Klyuchevskoy Group with Fluctuating Noise Fields |
title_sort |
deciphering the whisper of volcanoes: monitoring velocity changes at kamchatka’s klyuchevskoy group with fluctuating noise fields |
publishDate |
2023 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811_3/component/file_5016674/5015811.pdf |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_source |
Journal of Geophysical Research: Solid Earth |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2022JB025738 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015811_3/component/file_5016674/5015811.pdf |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1029/2022JB025738 |
container_title |
Journal of Geophysical Research: Solid Earth |
container_volume |
128 |
container_issue |
4 |
_version_ |
1768390773574729728 |