Seismicity observed during the precursory process and the actual eruption of Kizimen Volcano, Kamchatka in 2009–2013

Фирстов, П. П.; Shakirova, A. A.

doi:10.1134/s0742046314040022

Cited by 12 publications

(13 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ash clouds accompanying the largest of these collapses rose to altitudes of about 5 km asl. Increases in seismicity and size of thermal anomaly in ASTER satellite images suggested intensification of the extrusion process during December 2012-January 2013 (Firstov and Shakirova 2014). A slow extrusion continued until December 2013, when the seismic tremor decreased below detection limit indicating that eruption had ceased.…”

Section: The 2010-2013 Eruption Chronologymentioning

confidence: 99%

“…The initial stage was observed mostly by rangers of the Kronotsky Natural Reserve from posts located at distances 14 and 23 km to the W. Unfortunately, these locations provided only a partial view to the eastern slope of Kizimen, where the majority of eruptive events occurred. In July 2011, the Kamchatkan Branch of the Russian Geophysical Survey installed an automatic monitoring camera with the frame rate of one image per minute near Tumrok hot springs located 10 km to the NNE from the volcano (Firstov and Shakirova 2014). From that time on, visual data on the eruption process became more complete.…”

Section: Methodsmentioning

confidence: 99%

“…3b of Firstov and Shakirova 2014). Both zones extend from the ground surface down to depths of approximately 11 km; however, the majority of the earthquakes occurred at depths less than 5 km.…”

Section: Magma Feeding Systemmentioning

confidence: 99%

See 2 more Smart Citations

Deposits, petrology and mechanism of the 2010–2013 eruption of Kizimen volcano in Kamchatka, Russia

2018

View full text Add to dashboard Cite

Kizimen volcano in Kamchatka is well known as a source of highly heterogeneous poorly mingled magmas ranging from dacites to basaltic andesites. In 2010-2013, the volcano produced its first historical magmatic eruption with the deposition of 0.27 km 3 of block and ash pyroclastic flows accompanied by slow extrusion of a 200-m-thick, highly viscous (10 10 -10 11 Pa s) block lava flow with a volume of 0.3 km 3 . The total volume of erupted magma comprised approximately 0.4 km 3 DRE. We provide description of the eruption chronology, as well as the lithology and petrology of eruptive products. The erupted material is represented by banded dacite and high-silica andesite. The dacitic magma was formed during a long dormancy after the previous magmatic eruption several hundred years ago with mineral compositions indicating average pre-eruptive temperatures of~810°C, fO 2 of 0.9-1.6 log units above the nickel-nickel oxide (NNO) buffer and shallow crustal storage conditions at~123 MPa. The silica-rich andesite represents a hybrid magma, which shows signs of recent thermal and compositional disequilibrium. We suggest that the hybrid magma started to form in 1963 when a swarm of deep earthquakes indicated an input of mafic magma from depth into the 6-11-km-deep silicic magma chamber. It took the following 46 years until the magma filling the chamber reached an eruptible state. Poor mingling of the two melts is attributed to its unusually high viscosity that could be associated with the pre-eruptive long-term leakage of volatiles from the chamber through a regional tectonic fault. Our investigations have shown that shallow magma chambers of dormant volcanoes demonstrating strong persistent fumarolic activity can contain highly viscous, degassed magma of evolved composition. Reactivation of such magma chambers by injection of basic magma takes a long time (several decades). Thus, eruption forecasts at such volcanoes should include a possibility of long time lag between a swarm of deep earthquakes (indicating the recharge of basic magma from depth) and the following swarm of shallow earthquakes (indicating final ascent of the hybrid magma towards the surface). Due to the high viscosity of the magma, the shallow swarm can last for more than a year. The forthcoming eruption can be of moderate to low explosivity and include extrusion of viscous lava flows and domes composed of poorly mingled magmas of contrasting compositions.

show abstract

Section: The 2010-2013 Eruption Chronologymentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Deposits, petrology and mechanism of the 2010–2013 eruption of Kizimen volcano in Kamchatka, Russia

2018

View full text Add to dashboard Cite

show abstract

“…The cross‐correlation moveout analysis illustrated in supporting information S1 shows that signals corresponding to clusters

C_{5}^{S}

C_{6}^{S}

, and

C_{7}^{S}

originate from the Kizimen volcano that was erupting starting in December 2010 and till the end of 2013 (Figures S6#x2013;S8). Seismic activity associated with this long eruption was very irregular (Firstov & Shakirova, ). The initiation of the eruption in December 2010 was accompanied by a very intense seismic crisis with most of events located within the volcanic edifice.…”

Section: Results: Detection and Classification Of Volcanic Tremor Soumentioning

confidence: 99%

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

et al. 2018

View full text Add to dashboard Cite

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.

show abstract

“…The dome-building phase of the 2004-2008 eruption of Mount St. Helens (MSH) produced millions of repetitive seismic events with long-period codas and slowly evolving waveforms [Moran et al, 2008;Thelen et al, 2008]. Many of these events occurred with such precise regularity that they were termed "drumbeats" [Moran et al, 2008], a phenomenon that has been observed at several other volcanoes [e.g., Neuberg, 2000;Lees et al, 2008;Power and Lalla, 2010;Buurman et al, 2013;Firstov and Shakirova, 2014]. Drumbeat seismicity at MSH has been interpreted in different ways, attributed to shear faulting and brittle failure associated with solid lava spine extrusion and near-surface plug stick-slip [Iverson et al, 2006;Harrington and Brodsky, 2007;Iverson, 2008;Kendrick et al, 2014] or to the cyclic collapse, resonance, and repressurization of a subhorizontal steam-filled crack within a perched shallow hydrothermal system [Waite et al, 2008;Matoza et al, 2009;Matoza and Chouet, 2010].…”

Section: Introductionmentioning

confidence: 99%

Source mechanism of small long‐period events at Mount St. Helens in July 2005 using template matching, phase‐weighted stacking, and full‐waveform inversion

et al. 2015

View full text Add to dashboard Cite

Long‐period (LP, 0.5‐5 Hz) seismicity, observed at volcanoes worldwide, is a recognized signature of unrest and eruption. Cyclic LP “drumbeating” was the characteristic seismicity accompanying the sustained dome‐building phase of the 2004–2008 eruption of Mount St. Helens (MSH), WA. However, together with the LP drumbeating was a near‐continuous, randomly occurring series of tiny LP seismic events (LP “subevents”), which may hold important additional information on the mechanism of seismogenesis at restless volcanoes. We employ template matching, phase‐weighted stacking, and full‐waveform inversion to image the source mechanism of one multiplet of these LP subevents at MSH in July 2005. The signal‐to‐noise ratios of the individual events are too low to produce reliable waveform inversion results, but the events are repetitive and can be stacked. We apply network‐based template matching to 8 days of continuous velocity waveform data from 29 June to 7 July 2005 using a master event to detect 822 network triggers. We stack waveforms for 359 high‐quality triggers at each station and component, using a combination of linear and phase‐weighted stacking to produce clean stacks for use in waveform inversion. The derived source mechanism points to the volumetric oscillation (∼10 m3) of a subhorizontal crack located at shallow depth (∼30 m) in an area to the south of Crater Glacier in the southern portion of the breached MSH crater. A possible excitation mechanism is the sudden condensation of metastable steam from a shallow pressurized hydrothermal system as it encounters cool meteoric water in the outer parts of the edifice, perhaps supplied from snow melt.

show abstract

Seismicity observed during the precursory process and the actual eruption of Kizimen Volcano, Kamchatka in 2009–2013

Cited by 12 publications

References 4 publications

Deposits, petrology and mechanism of the 2010–2013 eruption of Kizimen volcano in Kamchatka, Russia

Deposits, petrology and mechanism of the 2010–2013 eruption of Kizimen volcano in Kamchatka, Russia

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

Source mechanism of small long‐period events at Mount St. Helens in July 2005 using template matching, phase‐weighted stacking, and full‐waveform inversion

Contact Info

Product

Resources

About