S
S. Ya. Droznina
Researcher at Russian Academy of Sciences
Publications - 18
Citations - 309
S. Ya. Droznina is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Volcano & Induced seismicity. The author has an hindex of 8, co-authored 16 publications receiving 221 citations. Previous affiliations of S. Ya. Droznina include Geophysical Survey.
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Deep and shallow long-period volcanic seismicity linked by fluid-pressure transfer
TL;DR: In this article, the authors present observations of long-period earthquakes that occurred in 2011-2012 within the Klyuchevskoy volcano group in Kamchatka, Russia.
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Interactive DIMAS program for processing seismic signals
D. V. Droznin,S. Ya. Droznina +1 more
TL;DR: The DIMAS program as discussed by the authors is designed for detailed processing and visual analysis of digital seismic signals from digital seismic stations and is specially designed for users whose task is to quickly determine the parameters of an earthquake from one or a group of seismic stations in the system of seismic monitoring and tsunami warning services.
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Detecting and locating volcanic tremors on the Klyuchevskoy group of volcanoes (Kamchatka) based on correlations of continuous seismic records
TL;DR: Shapiro et al. as mentioned in this paper presented a study of the Kamchatka Branch of the Geophysical Service, Russian Academy of Sciences, 9 Piip Boulevard, Petropavlovsk-Kamchatsky, Russia.
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Studies in the activity of Klyuchevskoi volcano by remote sensing techniques between January 1, 2001 and July 31, 2005
TL;DR: In this paper, the authors used three methods: (1) seismicity monitoring, (2) visual and video observations, and (3) satellite monitoring of thermal anomalies and ash discharges.
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Depth Migration of Seismovolcanic Tremor Sources Below the Klyuchevskoy Volcanic Group (Kamchatka) Determined From a Network-Based Analysis
Jean Soubestre,Léonard Seydoux,N. M. Shapiro,N. M. Shapiro,J. de Rosny,D. V. Droznin,S. Ya. Droznina,Sergey Senyukov,Evgenii Gordeev +8 more
TL;DR: In this paper, the authors presented a method for automatic location of dominant sources of seismovolcanic tremor in 3D, based on the spatial coherence of the continuously recorded wavefield at a seismic network.