Ramsey Michael, Dehn Jonathan Spaceborne observations of the 2000 Bezymianny, Kamchatka eruption: the integration of high-resolution ASTER data into near real-time monitoring using AVHRR // Journal of Volcanology and Geothermal Research. 2004. Vol. 135. № 1-2. P. 127-146. doi:10.1016/j.jvolgeores.2003.12.014.
Since its launch in December 1999, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument has been observing over 1300 of the world's volcanoes during the day and night and at different times of the year. At the onset of an eruption, the temporal frequency of these regularly scheduled observations can be increased to as little as 1–3 days at higher latitudes. However, even this repeat time is not sufficient for near real-time monitoring, which is on the order of minutes to hours using poorer spatial resolution (>1 km/pixel) instruments. The eruption of Bezymianny Volcano (Kamchatkan Peninsula, Russia) in March 2000 was detected by the Alaska Volcano Observatory (AVO) and also initiated an increased observation frequency for ASTER. A complete framework of the eruptive cycle from April 2000 to January 2001 was established, with the Advanced Very High Resolution Radiometer (AVHRR) data used to monitor the large eruptions and produce the average yearly background state for the volcano. Twenty, nearly cloud-free ASTER scenes (2 days and 18 nights) show large thermal anomalies covering tens to hundreds of pixels and reveal both the actively erupting and restive (background) state of the volcano. ASTER short-wave infrared (SWIR) and thermal infrared (TIR) data were also used to validate the recovered kinetic temperatures from the larger AVHRR pixels, as well as map the volcanic products and monitor the thermal features on the summit dome and surrounding small pyroclastic flows. These anomalies increase to greater than 90 °C prior to a larger eruption sequence in October 2000. In addition, ASTER has the first multispectral spaceborne TIR capability, which allowed for the modeling of micrometer-scale surface roughness (vesicularity) on the active lava dome. Where coupled with ongoing operational monitoring programs like those at AVO, ASTER data become extremely useful in discrimination of small surface targets in addition to providing enhanced volcanic mapping capabilities.
Riley Colleen Origin of scatter in paleomagnetic directions of
samples from Gorely Volcano, Kamchatka, Russia. 1994. Дисс. докт. геол.-мин. наук. 70 p.
Lava flows from sixteen sites at Gorely Volcano, Kamchatka were sampled. Initial analysis showed high within-site scatter for NRM specimen directions. Alternating field and thermal demagnetization of specimens showed single-component magnetization indicating that specimens had not moved or were not exposed to changes in the magnetic field during acquisition of a magnetic direction. Scatter is thought to be either due to movement of the specimen with respect to the magnetic field or change in the magnetic field with respect to the specimen. Four factors were found that would contribute to scatter in specimen directions. These are 1) cooling rate, 2) range of unblocking temperatures, 3) relative time of emplacement, and 4) how the specimen moved or was affected by changes in the magnetic field. Only two sites showed that scatter was due to movement of the specimen. It appears that scatter in other sites resulted from changes in the magnetic field generated from a magma-induced electrical current due to lava flowing in the earth’s magnetic field. These changes in the magnetic field are shown to have more affect on material sampled at the surface than on material sampled at depth because massive interiors of flows showed less dispersion in specimen directions than levees or pull-aparts.
Roman Alberto, Bergal-Kuvikas Olga, Shapiro Nikolay M., Gordeev E.I., Taisne Benoit, Jaupart Claude Control on the organization of the plumbing system of subduction volcanoes: the role of volatiles and edifice load // AGU Fall Meeting Abstracts. 2017.
Romanova I.M., Girina O.A. Spatial Data Infrastructure for information support of volcanological investigations // 10th Biennual workshop on Japan-Kamchatka-Alaska subduction processes (JKASP-2018). Petropavlovsk-Kamchatsky, Russia, August 20-26. Petropavlovsk-Kamchatsky: IVS FEB RAS. 2018. P. 193-195.
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., 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.
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.