Group by:  
Records: 2385
Romanova I.M., Girina O.A., Maximov A.P., Melekestsev I.V., Vasiliev S.E. Volcanoes of Kurile-Kamchatka Islands Arc Information System for Integration Heterogeneous Volcanological Data // Abstracts. International Workshop “JKASP-8”. Sapporo. Japan. September 22-26. 2014. 2014.
Romanova I.M., Girina O.A., Maximov A.P., Vasiliev S.E. Integration of volcanological data in VOKKIA information system // Modern Information Technologies in Earth Sciences. Proc. of the VI International Conference, Yuzhno-Sakhalinsk, August 7-11, 2016. Vladivostok: Dalnauka. 2016. P. 65-66.
Romanova I.M., Girina O.A., Melekestsev I.V., Maximov A.P. Information system «Volcanoes of the Kurile-Kamchatka Island Arc» / National report for the International Association of Volcanology and Chemistry of the Earth’s Interior of the International Union of Geodesy and Geophysics 2011–2014. Presented to the XXVI General Assembly of the IUGG. Geoinf. Res. Papers. Moscow: Geophysical center RAS. 2015. Vol. 3. P. 118-119. doi: 10.2205/2015IUGG-RU-IAVCEI.
Romanova Iraida M. IVS FEB RAS Geoportal for integration and increasing availability of volcanological data // IAVCEI 2013 Scientific Assembly. July 20 - 24, Kagoshima, Japan. 2013. P. 1279
Romanova Iraida M., Girina O.A., Maximov Alexander P., Melekestsev Ivan V. Volcanoes of Kurile-Kamchatka Islands Arc information system // IAVCEI 2013 Scientific Assembly. July 20 - 24, Kagoshima, Japan. 2013. P. 1278
Rowell Colin R., Fee David, Szuberla Curt A.L., Arnoult Ken, Matoza Robin S., Firstov Pavel P., Kim Keehoon, Makhmudov Evgeniy Three-dimensional volcano-acoustic source localization at Karymsky Volcano, Kamchatka, Russia // Journal of Volcanology and Geothermal Research. 2014. Vol. 283. P. 101 - 115. doi: 10.1016/j.jvolgeores.2014.06.015.    Annotation
Abstract We test two methods of 3-D acoustic source localization on volcanic explosions and small-scale jetting events at Karymsky Volcano, Kamchatka, Russia. Recent infrasound studies have provided evidence that volcanic jets produce low-frequency aerodynamic sound (jet noise) similar to that from man-made jet engines. For man-made jet noise, noise sources localize along the turbulent jet flow downstream of the nozzle. Discrimination of jet noise sources along the axis of a volcanic jet requires high resolution in the vertical dimension, which is very difficult to achieve with typical volcano-acoustic network geometries. At Karymsky Volcano, an eroded edifice (Dvor Caldera) adjacent to the active cone provided a platform for the deployment of five infrasound sensors in July 2012 with intra-network relief of ~ 600 m. The network was designed to target large-scale jetting, but unfortunately only small-scale jetting and explosions were recorded during the 12-day experiment. A novel 3-D inverse localization method, srcLoc, is tested and compared against a more common grid-search semblance technique. Simulations using synthetic signals show that srcLoc is capable of determining vertical solutions to within ± 150 m or better (for signal-to-noise ratios ≥ 1) for this network configuration. However, srcLoc locations for explosions and small-scale jetting at Karymsky Volcano show a persistent overestimation of source elevation and underestimation of sound speed. The semblance method provides more realistic source locations, likely because it uses a fixed, realistic sound speed of ~ 340 m/s. Explosion waveforms exhibit amplitude relationships and waveform distortion strikingly similar to those theorized by modeling studies of wave diffraction around the crater rim. We suggest that the delay of acoustic signals and apparent elevated source locations are due to raypaths altered by topography and/or crater diffraction effects, implying that topography in the vent region must be accounted for when attempting 3-D volcano acoustic source localization. Though the data presented here are insufficient to resolve small-scale jet noise sources, similar techniques may be successfully applied to large volcanic jets in the future.
Senyukov S.L., Nuzhdina I.N., Droznina S.Ya., Garbuzova V.T., Kozhevnikova T.Yu., Sobolevskaya O.V., Nazarova Z.A., Bliznetsov V.E. Reprint of "Seismic monitoring of the Plosky Tolbachik eruption in 2012-2013 (Kamchatka Peninsula Russia)" // Journal of Volcanology and Geothermal Research. 2015. Vol. 307. P. 47 - 59. doi: 10.1016/j.jvolgeores.2015.07.026.    Annotation
Abstract The active basaltic volcano Plosky Tolbachik (Pl. Tolbachik) is located in the southern part of the Klyuchevskoy volcano group on the Kamchatka Peninsula. The previous 1975–1976 Great Tolbachik Fissure Eruption (1975–1976 GTFE) occurred in the southern sector of Pl. Tolbachik. It was preceded by powerful earthquakes with local magnitudes between 2.5 and 4.9 and it was successfully predicted with a short-term forecast. The Kamchatka Branch of Geophysical Survey (KBGS) of the Russian Academy of Science (RAS) began to publish the results of daily seismic monitoring of active Kamchatka volcanoes on the Internet in 2000. Unlike the 1975–1976 {GTFE} precursor, (1) seismicity before the 2012–2013 Tolbachik Fissure Eruption (2012–2013 TFE) was relatively weak and earthquake magnitudes did not exceed 2.5. (2) Precursory earthquake hypocenters at 0–5 km depth were concentrated mainly under the southeastern part of the volcano. (3) The frequency of events gradually increased in September 2012, and rose sharply on the eve of the eruption. (4) According to seismic data, the explosive-effusive 2012–2013 {TFE} began at ~ 05 h 15 min {UTC} on November 27, 2012; the outbreak occurred between the summit of the Pl. Tolbachik and the Northern Breakthrough of the 1975–1976 GTFE. (5) Because of bad weather, early interpretations of the onset time and the character of the eruption were made using seismological data only and were confirmed later by other monitoring methods. The eruption finished in early September 2013. This article presents the data obtained through real-time seismic monitoring and the results of retrospective analysis, with additional comments on the future monitoring of volcanic activity.
Shcherbakov Vasily D., Neill Owen K., Izbekov Pavel E., Plechov Pavel Yu. Phase equilibria constraints on pre-eruptive magma storage conditions for the 1956 eruption of Bezymianny Volcano, Kamchatka, Russia // Journal of Volcanology and Geothermal Research. 2013. Vol. 263. P. 132-140. doi:10.1016/j.jvolgeores.2013.02.010.
Shellnutt J. Gregory, Belousov Alexander, Belousova Marina, Wang Kuo-Lung, Zellmer Georg F. Generation of calc-alkaline andesite of the Tatun volcanic group (Taiwan) within an extensional environment by crystal fractionation // International Geology Review. 2014. Vol. 56. № 9. P. 1156-1171. doi:10.1080/00206814.2014.921865.
Shishkina T.A., Botcharnikov R.E., Holtz F., Almeev R.R., Portnyagin M.V. Solubility of H2O- and CO2-bearing fluids in tholeiitic basalts at pressures up to 500 MPa // Chemical Geology. 2010. Vol. 277. № 1–2. P. 115 - 125. doi: 10.1016/j.chemgeo.2010.07.014.    Annotation
The solubility of H2O- and CO2-bearing fluids in tholeiitic basalts has been investigated experimentally at temperature of 1250 °C and pressures of 50, 100, 200, 300, 400 and 500 MPa. The concentrations of dissolved H2O and CO2 have been determined using FTIR spectroscopy with an accurate calibration of the absorption coefficients for hydrogen- and carbon-bearing species using synthesized standards of the same tholeiitic composition. The absorption coefficients are 0.65 ± 0.08 and 0.69 ± 0.08 L/(mol cm) for molecular H2O and OH groups by Near-Infrared (NIR), respectively, and 68 ± 10 L/(mol cm) for bulk H2O by Mid-Infrared (MIR). The carbonate groups determined by MIR have an absorption coefficient of 317 ± 23 L/(mol cm) for the band at 1430 cm−1.The solubility of H2O in the melt in equilibrium with pure H2O fluid increases from about 2.3 ± 0.12 wt.% at 50 MPa to about 8.8 ± 0.16 wt.% at 500 MPa, whereas the concentration of CO2 increases from about 175 ± 15 to 3318 ± 276 ppm in the melts which were equilibrated with the most CO2-rich fluids (with mole fraction of CO2 in the fluid, XflCO2, from 0.70 to 0.95). In melts coexisting with H2O- and CO2-bearing fluids, the concentrations of dissolved H2O and CO2 in basaltic melt show a non-linear dependence on both total pressure and mole fraction of volatiles in the equilibrium fluid, which is in agreement with previous studies. A comparison of new experimental data with existing numerical solubility models for mixed H2O–CO2 fluids shows that the models do not adequately predict the solubility of volatiles in basaltic liquids at pressures above 200 MPa, in particular for CO2, implying that the models need to be recalibrated.

The experimental dataset presented in this study enables a quantitative interpretation of volatile concentrations in glass inclusions to evaluate the magma storage conditions and degassing paths of natural island arc basaltic systems. The experimental database covers the entire range of volatile compositions reported in the literature for natural melt inclusions in olivine from low- to mid-K basalts indicating that most melt inclusions were trapped or equilibrated at intermediate to shallow levels in magmatic systems (< 12–15 km).

Recommended browsers for viewing this site: Google Chrome, Mozilla Firefox, Opera, Yandex. Using another browser may cause incorrect browsing of webpages.
Terms of use of IVS FEB RAS Geoportal materials and services

Copyright © Institute of Volcanology and Seismology FEB RAS, 2010-2021. Terms of use.
No part of the Geoportal and/or Geoportal content can be reproduced in any form whether electronically or otherwise without the prior consent of the copyright holder. You must provide a link to the Geoportal from your own website.