Instrumental equipment of geophysical observatory at North Caucasus View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-12

AUTHORS

A. L. Sobissevitch, D. G. Gridnev, L. E. Sobissevitch, K. Kh. Kanonidi

ABSTRACT

Multiparameter geophysical observatory was established in North Caucasus, near Elbrus Volcano, in 2001 by the scientists of Otto Schmidt Institute of Physics of the Earth (IPE) of Russian Academy of Sciences (RAS) with support of Institute for Nuclear Research (INR) RAS and Berbekov Kabardino-Balkar State University (KBSU) to study possible reawakening of volcanism in the region. This paper describes the instrumental equipment of monitoring investigations and data acquisition system forced into application by mid-2007, provides technical characteristics of some devices and their principles. Capacities of the observatory are shown by numerous examples. The most valuable results of instrumental measurements are presented. Based on these data, we studied the tidal deformations, which reflect the structural features of geologic environment of Elbrus volcanic center caused by magmatic bodies. Variations of the earth surface tilt and magnetic field related to the catastrophic Sumatra earthquake December 26, 2004 were recorded, and the spectrum and wavelet analyses were performed. For the first time the wave processes in various geophysical fields that reflect main dynamic features of generation and motion of a catastrophic snow avalanche directly on the observation point were observed and studied. These data underlie the mathematical model of non-linear dynamics of slope flows. Further perspectives of development of the North Caucasus Geophysical Observatory are outlined. More... »

PAGES

12-25

References to SciGraph publications

Journal

TITLE

Seismic Instruments

ISSUE

1

VOLUME

44

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.3103/s0747923908010027

DOI

http://dx.doi.org/10.3103/s0747923908010027

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049320085


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