Studies in the activity of Klyuchevskoi volcano by remote sensing techniques between January 1, 2001 and July 31, 2005

Senyukov, S.; Droznina, S.; Nuzhdina, I. N.; Garbuzova, V. T.; Kozhevnikova, T. Yu.

doi:10.1134/s0742046309030051

Cited by 28 publications

(13 citation statements)

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“…12 presents the data of all located earthquakes. CSE was used in [Fedotov et al, 1988;Senyukov et al, 2009;Senyukov, 2013a;Senyukov, 2013b]. The eruption began on November 27, 2012, and the location of the initial outbreak is marked by an arrow in Fig.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Seismic monitoring of the Plosky Tolbachik eruption in 2012–2013 (Kamchatka Peninsula Russia)

Senyukov

Nuzhdina

Droznina

et al. 2015

Journal of Volcanology and Geothermal Research

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Section: Accepted Manuscriptmentioning

confidence: 99%

Seismic monitoring of the Plosky Tolbachik eruption in 2012–2013 (Kamchatka Peninsula Russia)

Senyukov

Nuzhdina

Droznina

et al. 2015

Journal of Volcanology and Geothermal Research

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“…Long‐period seismicity (Shapiro et al, ) occurs both at shallow depths, less than 5 km, and also at around 30 km depth, the inferred location of a gradational crust–mantle transition (Nikulin et al, ). The deep long period seismicity is more active during repose periods and surges in deep seismicity transfer into elevated shallow activity, which immediately precedes eruptions (Fedotov & Zharinov, ; Senyukov et al, ; Shapiro, Droznin, et al, ). The fast migration suggests good connectivity between deep magma reservoirs and the surface.…”

Section: Introductionmentioning

confidence: 99%

Magmatic and Sedimentary Structure beneath the Klyuchevskoy Volcanic Group, Kamchatka, From Ambient Noise Tomography

et al. 2020

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The Klyuchevskoy Volcanic Group is a cluster of the world's most active subduction volcanoes, situated on the Kamchatka Peninsula, Russia. The volcanoes lie in an unusual off‐arc position within the Central Kamchatka Depression (CKD), a large sedimentary basin whose origin is not fully understood. Many gaps also remain in the knowledge of the crustal magmatic plumbing system of these volcanoes. We conducted an ambient noise surface wave tomography, to image the 3‐D shear wave velocity structure of the Klyuchevskoy Volcanic Group and CKD within the surrounding region. Vertical component cross correlations of the continuous seismic noise are used to measure interstation Rayleigh wave group and phase traveltimes. We perform a two‐step surface wave tomography to model the 3‐D Vsv velocity structure. For each inversion stage we use a transdimensional Bayesian Monte Carlo approach, with coupled uncertainty propagation. This ensures that our model provides a reliable 3‐D velocity image of the upper 15 km of the crust, as well as a robust assessment of the uncertainty in the observed structure. Beneath the active volcanoes, we image small slow velocity anomalies at depths of 2–5 km but find no evidence for magma storage regions deeper than 5 km—noting the 15 km depth limit of the model. We also map two clearly defined sedimentary layers within the CKD, revealing an extensive 8 km deep sedimentary accumulation. This volume of sediments is consistent with the possibility that the CKD was formed as an Eocene‐Pliocene fore‐arc regime, rather than by recent (<2 Ma) back‐arc extension.

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“…Three volcanoes of the KVG (Klyuchevskoy, Bezymianny, and Tolbachik) were active during recent decades (e.g., Gordeev et al, ; Ivanov, ; Ozerov et al, ; Senyukov et al, , ). In addition, two other very active volcanoes, Shiveluch and Kizimen, are respectively located north and south of KVG (Figure ).…”

Section: Klyuchevskoy Volcanic Group Monitoringmentioning

confidence: 99%

Network‐Based Detection and Classification of Seismovolcanic Tremors: Example From the Klyuchevskoy Volcanic Group in Kamchatka

et al. 2018

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We develop a network‐based method for detecting and classifying seismovolcanic tremors. The proposed approach exploits the coherence of tremor signals across the network that is estimated from the array covariance matrix. The method is applied to four and a half years of continuous seismic data recorded by 19 permanent seismic stations in the vicinity of the Klyuchevskoy volcanic group in Kamchatka (Russia), where five volcanoes were erupting during the considered time period. We compute and analyze daily covariance matrices together with their eigenvalues and eigenvectors. As a first step, most coherent signals corresponding to dominating tremor sources are detected based on the width of the covariance matrix eigenvalues distribution. Thus, volcanic tremors of the two volcanoes known as most active during the considered period, Klyuchevskoy and Tolbachik, are efficiently detected. As a next step, we consider the daily array covariance matrix's first eigenvector. Our main hypothesis is that these eigenvectors represent the principal components of the daily seismic wavefield and, for days with tremor activity, characterize dominant tremor sources. Those daily first eigenvectors, which can be used as network‐based fingerprints of tremor sources, are then grouped into clusters using correlation coefficient as a measure of the vector similarity. As a result, we identify seven clusters associated with different periods of activity of four volcanoes: Tolbachik, Klyuchevskoy, Shiveluch, and Kizimen. The developed method does not require a priori knowledge and is fully automatic; and the database of the network‐based tremor fingerprints can be continuously enriched with newly available data.

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Studies in the activity of Klyuchevskoi volcano by remote sensing techniques between January 1, 2001 and July 31, 2005

Cited by 28 publications

References 0 publications

Seismic monitoring of the Plosky Tolbachik eruption in 2012–2013 (Kamchatka Peninsula Russia)

Seismic monitoring of the Plosky Tolbachik eruption in 2012–2013 (Kamchatka Peninsula Russia)

Magmatic and Sedimentary Structure beneath the Klyuchevskoy Volcanic Group, Kamchatka, From Ambient Noise Tomography

Network‐Based Detection and Classification of Seismovolcanic Tremors: Example From the Klyuchevskoy Volcanic Group in Kamchatka

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