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Записей: 2735
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On the terms «ignimbrite» and «ignimbritic deposits» (1966)
Vlodavetz V.I. On the terms «ignimbrite» and «ignimbritic deposits» // Bulletin Volcanologique. 1966. Vol. 29. Vol. 1. P. 141-145. 5 p. doi:10.1007/BF02597149.
Operative remote sensing monitoring of Kamchatkan volcanoes using the information system VolSatView (2015)
Girina O.A., Lupian E.A., Sorokin A.A., Melnikov D.V., Manevich A.G. Operative remote sensing monitoring of Kamchatkan volcanoes using the information system VolSatView // 7th International Workshop on Volcanic Ash (IWVA/7), 19-23 October 2015. IWVA/7. 2015. P. 1-26.
   Аннотация
There are 30 active volcanoes in the Kamchatka, and several of them are continuously active. In 2014-2015, four of the Kamchatkan volcanoes (Sheveluch, Klyuchevskoy, Karymsky and Zhupanovsky) had strong and moderate explosive eruptions.
Strong explosive eruption of volcanoes is the most dangerous for aircraft because in a few hours or days in the atmosphere and the stratosphere can produce about several cubic kilometers of volcanic ash and aerosols. Ash plumes and the clouds, depending on the power of the eruption, the strength and wind speed, can travel thousands of kilometers from the volcano for several days, remaining hazardous to aircraft, as the melting temperature of small particles of ash below the operating temperature of jet engines.
Annual Kamchatkan strong explosive eruptions with ash emissions by 8-15 km above sea level represent a real threat to modern jet aviation. To reduce the risk of aircraft encounters with volcanic ash clouds in the North Pacific region, since 2002, KVERT IVS FEB RAS conduct a daily satellite monitoring of 30 Kamchatkan volcanoes and visual and video monitoring of Klyuchevskoy, Sheveluch, Bezymianny, Koryaksky, Avachinsky, Mutnovsky and Gorely volcanoes. KVERT analyses seismic data for 9 volcanoes (Klyuchevskoy, Sheveluch, Bezymianny, Tolbachik, Kizimen, Karymsky, Koryaksky, Avachinsky and Gorely) from the Kamchatkan Branch of Geophysical Survey RAS.
KVERT send Volcano Observatory Notice for Aviation (VONA) by email to Airport Meteorological Center (AMC) at Yelizovo Airport; and the Tokyo Volcanic Ash Advisory Centers (VAAC), the Anchorage VAAC, the Washington VAAC, the Montreal VAAC, and the Darwin VAAC; aviation services, and scientists located throughout the North Pacific region. VONA/KVERT Releases are posted on the web site: http://www.kscnet.ru/ivs/kvert/
Since 2011, experts from IVS FEB RAS, Space Research Institute RAS, Computing Center FEB RAS and the Far Eastern Planeta Research Center have operated the information system “Monitoring of Volcanoes Activity in Kamchatka and the Kuriles” (VolSatView; http://volcanoes.smislab.ru) that uses all available satellite data (operative and long-term archive data), weather and on-ground observations, the results of computational modeling of ash clouds and plumes trajectories to ensure continues monitoring and study of volcanic activity in Kamchatka and the Kuriles.
Organization of heterogeneous remote sensing data management for near real-time volcanic activity monitoring and analysis with the VolSatView (2018)
Burtsev M.A., Girina O.A., Kramareva L.S., Loupian E.A., Sorokin A.A., Uvarov I.A. Organization of heterogeneous remote sensing data management for near real-time volcanic activity monitoring and analysis with the VolSatView // JKASP-2018. Petropavlovsk-Kamchatsky: IVS FEB RAS. 2018.
Origin of monogenetic volcanoes in Malko-Petropavlovsk zone of the transverse dislocation (Kamchatka): geological setting, geophysical parameters and geochemical data (2020)
Bergal-Kuvikas Olga, Bindeman Ilya, Skorkina Anna, Khubaeva Olga Origin of monogenetic volcanoes in Malko-Petropavlovsk zone of the transverse dislocation (Kamchatka): geological setting, geophysical parameters and geochemical data // Abstract volume of the 8th International Maar Conference. Petropavlovsk-Kamchatsky: IVS FEB RAS. 2020. P. 37-38.
Origin of scatter in paleomagnetic directions of samples from Gorely Volcano, Kamchatka, Russia (1994)
Riley Colleen Origin of scatter in paleomagnetic directions of samples from Gorely Volcano, Kamchatka, Russia. 1994. Дисс. докт. геол.-мин. наук. 70 p.
   Аннотация
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.
Origin of spatial compositional variations of volcanic rocks from Northern Kurile Islands: Geochemical studies of active volcanoes on Paramushir, Atlasova, Antsiferova islands and submarine volcanoes (2013)
Bergal-Kuvikas Olga, Nakagawa Mitsuhiro, Avdeiko Gennady Origin of spatial compositional variations of volcanic rocks from Northern Kurile Islands: Geochemical studies of active volcanoes on Paramushir, Atlasova, Antsiferova islands and submarine volcanoes // International Association of Volcanology and Chemistry of the Earth's Interior (IAVCEI). 2013, Kagoshima. Japan.. 2013.
Origin of volatiles emitted by Plinian basaltic eruptions of Chikurachki volcano, Kurile arc, Russia: trace element, boron and sulphur isotope constraints (2018)
Gurenko A., Belousov A., Kamenetsky V., Zelenski M. Origin of volatiles emitted by Plinian basaltic eruptions of Chikurachki volcano, Kurile arc, Russia: trace element, boron and sulphur isotope constraints // Chemical Geology. 2018. № 478. P. 131-147.
Overview of the precursors and dynamics of the 2012–13 basaltic fissure eruption of Tolbachik Volcano, Kamchatka, Russia (2015)
Belousov Alexander, Belousova Marina, Edwards Benjamin, Volynets Anna, Melnikov Dmitry Overview of the precursors and dynamics of the 2012–13 basaltic fissure eruption of Tolbachik Volcano, Kamchatka, Russia // Journal of Volcanology and Geothermal Research. 2015. Vol. 307. P. 22 - 37. doi: 10.1016/j.jvolgeores.2015.06.013.
   Аннотация
Abstract We present a broad overview of the 2012–13 flank fissure eruption of Plosky Tolbachik Volcano in the central Kamchatka Peninsula. The eruption lasted more than nine months and produced approximately 0.55 km3 {DRE} (volume recalculated to a density of 2.8 g/cm3) of basaltic trachyandesite magma. The 2012–13 eruption of Tolbachik is one of the most voluminous historical eruptions of mafic magma at subduction related volcanoes globally, and it is the second largest at Kamchatka. The eruption was preceded by five months of elevated seismicity and ground inflation, both of which peaked a day before the eruption commenced on 27 November 2012. The batch of high-Al magma ascended from depths of 5–10 km; its apical part contained 54–55 wt. SiO2, and the main body 52–53 wt. SiO2. The eruption started by the opening of a 6 km-long radial fissure on the southwestern slope of the volcano that fed multi-vent phreatomagmatic and magmatic explosive activity, as well as intensive effusion of lava with an initial discharge of > 440 m3/s. After 10 days the eruption continued only at the lower part of the fissure, where explosive and effusive activity of Hawaiian–Strombolian type occurred from a lava pond in the crater of the main growing scoria cone. The discharge rate for the nine month long, effusion-dominated eruption gradually declined from 140 to 18 m3/s and formed a compound lava field with a total area of ~ 36 km2; the effusive activity evolved from high-discharge channel-fed 'a'a lavas to dominantly low-discharge tube-fed pahoehoe lavas. On 23 August, the effusion of lava ceased and the intra-crater lava pond drained. Weak Strombolian-type explosions continued for several more days on the crater bottom until the end of the eruption around 5 September 2013. Based on a broad array of new data collected during this eruption, we develop a model for the magma storage and transport system of Plosky Tolbachik that links the storage zones of the two main genetically related magma types of the volcano (high-Al and high-Mg basalts) with the clusters of local seismicity. The model explains why precursory seismicity and dynamics of the 2012–13 eruption was drastically different from those of the previous eruption of the volcano in 1975–76.
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Paleomagnetic chronostratigraphy of young eruptive series (1982)
Kochegura V.V., Zubov A.G. Paleomagnetic chronostratigraphy of young eruptive series // Abstracts: generation of major basalt types. August 15-22, 1982. Reykjavik, Island: IAVCEI-IAGC Scientific Assembly. 1982. Vol. 81.
Parametric Methods and Algorithms of Volcano Image Processing (2020)
Korolev S.P., Urmanov I.P., Kamaev A., Girina O.A. Parametric Methods and Algorithms of Volcano Image Processing / Software Engineering Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing. Cham: Springer. 2020. Vol. 1295. P. 253-263. https://doi.org/10.1007/978-3-030-63319-6_22.
   Аннотация
A key problem of any video volcano surveillance network is an inconsistent quality and information value of the images obtained. To timely analyze the incoming data, they should be pre-filtered. Additionally, due to the continuous network operation and low shooting intervals, an operative visual analysis of the shots stream is quite difficult and requires the application of various computer algorithms. The article considers the parametric algorithms of image analysis developed by the authors for processing the shots of the volcanoes of Kamchatka. They allow automatically filtering the image flow generated by the surveillance network, highlighting those significant shots that will be further analyzed by volcanologists. A retrospective processing of the full image archive with the methods suggested helps to get a data set, labeled with different classes, for future neural network training.