Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013
Gorely is one of the most active volcanoes in Kamchatka with a rich magmatic and eruptive history reflected in its composite structure. In 2013–2014, a temporary network of 20 seismic stations was installed on Gorely for one year. During the four months of its high degassing rate, seismic activity w...
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ftdoajarticles:oai:doaj.org/article:04dd0ce920494d808e7618af665054c7 2023-05-15T16:58:58+02:00 Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 Sergei Abramenkov Nikolaï M. Shapiro Ivan Koulakov Ilyas Abkadyrov 2020-06-01T00:00:00Z https://doi.org/10.3390/geosciences10060230 https://doaj.org/article/04dd0ce920494d808e7618af665054c7 EN eng MDPI AG https://www.mdpi.com/2076-3263/10/6/230 https://doaj.org/toc/2076-3263 doi:10.3390/geosciences10060230 2076-3263 https://doaj.org/article/04dd0ce920494d808e7618af665054c7 Geosciences, Vol 10, Iss 230, p 230 (2020) Gorely volcano degassing long-period seismicity cluster analysis back-projection matched-filter Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.3390/geosciences10060230 2022-12-30T21:20:28Z Gorely is one of the most active volcanoes in Kamchatka with a rich magmatic and eruptive history reflected in its composite structure. In 2013–2014, a temporary network of 20 seismic stations was installed on Gorely for one year. During the four months of its high degassing rate, seismic activity was mostly expressed in the form of a long-period (LP) seismic tremor. In this study, we have developed a workflow based on the combination of back-projection (BP), cluster analysis, and matched-filter (MF) methods. By applying it to continuous seismic records for the study period, we were able to identify discrete LP events within the tremor sequence automatically and individually investigate their properties. A catalog obtained using the BP detection algorithm consist of 1741 high-energy events. Cluster analysis revealed that the entire variety of LP earthquakes in this catalog could be grouped into five families, which are sequentially organized in time. Utilizing templates of these families in the MF search resulted in the complementary catalog of 80,615 low-energy events. The long-term occurrence of highly repetitive LP events in the same location may correspond to resonating conduits behaving in response to the high-pressure gases flowing from the decompressed magma chamber up to the volcano’s crater. Article in Journal/Newspaper Kamchatka Directory of Open Access Journals: DOAJ Articles Geosciences 10 6 230 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Gorely volcano degassing long-period seismicity cluster analysis back-projection matched-filter Geology QE1-996.5 |
spellingShingle |
Gorely volcano degassing long-period seismicity cluster analysis back-projection matched-filter Geology QE1-996.5 Sergei Abramenkov Nikolaï M. Shapiro Ivan Koulakov Ilyas Abkadyrov Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
topic_facet |
Gorely volcano degassing long-period seismicity cluster analysis back-projection matched-filter Geology QE1-996.5 |
description |
Gorely is one of the most active volcanoes in Kamchatka with a rich magmatic and eruptive history reflected in its composite structure. In 2013–2014, a temporary network of 20 seismic stations was installed on Gorely for one year. During the four months of its high degassing rate, seismic activity was mostly expressed in the form of a long-period (LP) seismic tremor. In this study, we have developed a workflow based on the combination of back-projection (BP), cluster analysis, and matched-filter (MF) methods. By applying it to continuous seismic records for the study period, we were able to identify discrete LP events within the tremor sequence automatically and individually investigate their properties. A catalog obtained using the BP detection algorithm consist of 1741 high-energy events. Cluster analysis revealed that the entire variety of LP earthquakes in this catalog could be grouped into five families, which are sequentially organized in time. Utilizing templates of these families in the MF search resulted in the complementary catalog of 80,615 low-energy events. The long-term occurrence of highly repetitive LP events in the same location may correspond to resonating conduits behaving in response to the high-pressure gases flowing from the decompressed magma chamber up to the volcano’s crater. |
format |
Article in Journal/Newspaper |
author |
Sergei Abramenkov Nikolaï M. Shapiro Ivan Koulakov Ilyas Abkadyrov |
author_facet |
Sergei Abramenkov Nikolaï M. Shapiro Ivan Koulakov Ilyas Abkadyrov |
author_sort |
Sergei Abramenkov |
title |
Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
title_short |
Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
title_full |
Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
title_fullStr |
Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
title_full_unstemmed |
Clustering of Long-Period Earthquakes Beneath Gorely Volcano (Kamchatka) during a Degassing Episode in 2013 |
title_sort |
clustering of long-period earthquakes beneath gorely volcano (kamchatka) during a degassing episode in 2013 |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/geosciences10060230 https://doaj.org/article/04dd0ce920494d808e7618af665054c7 |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_source |
Geosciences, Vol 10, Iss 230, p 230 (2020) |
op_relation |
https://www.mdpi.com/2076-3263/10/6/230 https://doaj.org/toc/2076-3263 doi:10.3390/geosciences10060230 2076-3263 https://doaj.org/article/04dd0ce920494d808e7618af665054c7 |
op_doi |
https://doi.org/10.3390/geosciences10060230 |
container_title |
Geosciences |
container_volume |
10 |
container_issue |
6 |
container_start_page |
230 |
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1766051111664353280 |