Michael Dobrovolsky

Dr. Michael Dobrovolsky

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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2014 in Cybernetics and Systems Analysis
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Journal Article
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SAS. M. Agayan
S. M. Agayan
SBShamil Bogoutdinov
Shamil Bogoutdinov
MDMichael Dobrovolsky
Michael Dobrovolsky

25 March 2022 in Solar-Terrestrial Physics
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Journal Article
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OKOlga Kozyreva
Olga Kozyreva
VPVyacheslav A. Pilipenko
Vyacheslav A. Pilipenko
MDMichael Dobrovolsky
Michael Dobrovolsky
AZAleksandr Zaitsev
Aleksandr Zaitsev
EMElena Marshalko
Elena Marshalko
An archive of digital 1-min data from Soviet/Russian Arctic magnetic stations has been created, starting from 1983 to the present. The archive includes data from stations deployed along the Arctic coast by various USSR/Russia institutes. All data are divided into daily files, converted into a standard IAGA2002 format, and provided with graphs for quick-look browsing. Some of the data are not included in the existing world data portals (SuperMAG, INTERMAGNET). We give examples of using the database for the Arctic: study of irregular disturbances and waves of the Pc5/Pi3 range exciting intense geomagnetically induced currents; distortion of the pipe-to-soil potential during magnetic storms; ground support for radar observations of the ionosphere. To assess the regions most susceptible to geomagnetic hazard, we calculated a map with normalized telluric fields for a uniform magnetic disturbance with a unit amplitude and periods 100–1000 s. This map shows that the geological structure significantly affects the magnitude of the geoelectric fields generated by magnetic disturbances. The database is made publicly available on the anonymous FTP site [ftp://door.gcras.ru/ftp_anonymous/ARCTICA_Rus].

20 February 2021
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Book Chapter
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AGAlexei Gvishiani
Alexei Gvishiani
MDMichael Dobrovolsky
Michael Dobrovolsky
ARAlena Rybkina
Alena Rybkina

1 May 2019 in Bulletin of the Russian Academy of Sciences: Physics
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Journal Article
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MDMichael Dobrovolsky
Michael Dobrovolsky
IAI. I. Astapov
I. I. Astapov
NBN. S. Barbashina
N. S. Barbashina
AGA. D. Gvishiani
A. D. Gvishiani
VGV. G. Getmanov
V. G. Getmanov
IYI. I. Yashin
I. I. Yashin
A way of detecting local anisotropies of the muon flux using the matrix-form data of the URAGAN hodoscope (MEPhI) is proposed. Confidence intervals for estimating the matrix-data mathematical...

8 April 2022 in Applied Sciences
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Journal Article
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OKOlga Kozyreva
Olga Kozyreva
VPVyacheslav A. Pilipenko
Vyacheslav A. Pilipenko
EMElena Marshalko
Elena Marshalko
ESElena Yu. Sokolova
Elena Yu. Sokolova
MDMichael Dobrovolsky
Michael Dobrovolsky
The influence of space factors on technological systems in the Arctic (power transmission lines, oil/gas pipelines) has become critically important. To examine in depth these effects, an archive of digital 1 min data from Soviet/Russian magnetic stations deployed along the Arctic coast was created, starting from 1983 to the present. All data from various sources were converted to daily files in standard IAGA-2002 format and supplemented with quick-look magnetograms. Some of these data are included already in the existing world magnetic field databases, but not all. Examples of disturbances known to excite intense geomagnetically induced currents in power transmission lines were presented: irregular Pi3 pulsations and magnetic perturbation events. The database was augmented with the global 3D model of the Earth’s conductivity structure. The given example showed how the combined usage of the geomagnetic field database and the conductivity model enables one to synthesize the geoelectric field response to geomagnetic variations, and to assess the distortions of the pipeline-soil potential. To determine regions most susceptible to geomagnetic hazard, a map with normalized telluric fields was created for a uniform sinusoidally varying magnetic disturbance. This map showed that the largest electrotelluric potentials and field are induced in regions with a high resistivity (e.g., Kola Peninsula and Ural Mountains). This database can be also a useful support for space missions in the magnetosphere. The database is publicly available on the anonymous FTP site.

1 July 2020 in Pattern Recognition and Image Analysis
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Journal Article
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VGVictor Getmanov
Victor Getmanov
Roman SidorovRoman Sidorov
Roman Sidorov
MDMichael Dobrovolsky
Michael Dobrovolsky
IYI. I. Yashin
I. I. Yashin
ADA. N. Dmitrieva
A. N. Dmitrieva
FPF. V. Perederin
F. V. Perederin
A two-dimensional filtering method, based on the construction of systems of approximating sliding local model functions with their subsequent weighted averaging, is proposed. A two-dimensional filtering algorithm based on the summation of approximating sliding piecewise-linear model functions with weight coefficients is developed. Optimization of the parameters of the filtering algorithm is considered. The results of testing the filtering algorithm and calculating its optimal parameters on model muonograms are presented. A comparative estimation of the algorithm’s errors is made. An example of testing the developed method of two-dimensional filtering on an experimental muonogram is presented; the results of the muonogram’s analysis are described.