ANALYSIS MHD SOLAR ACTIVITY USING ROBUST METHODS

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:International Multidisciplinary Scientific GeoConference : SGEM vol. 18, no. 6.1 (2018), p. 529
मुख्य लेखक: Nefedyev, Yury
अन्य लेखक: Andreev, Alexey, Demina, Natalya, Demin, Sergey, Andreeva, Zoya
प्रकाशित:
Surveying Geology & Mining Ecology Management (SGEM)
विषय:
ऑनलाइन पहुंच:Citation/Abstract
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022 |a 1314-2704 
024 7 |a 10.5593/sgem2018/6.1/S28.070  |2 doi 
035 |a 2181108763 
045 0 |b d20180101 
084 |a 176728  |2 nlm 
100 1 |a Nefedyev, Yury  |u Kazan Federal University, Kazan, Russia 
245 1 |a ANALYSIS MHD SOLAR ACTIVITY USING ROBUST METHODS 
260 |b Surveying Geology & Mining Ecology Management (SGEM)  |c 2018 
513 |a Conference Proceedings 
520 3 |a The aim of this paper is to analyze magnetohydrodynamic (MHD) solar activity on the basis of modeling and predicting the Wolf number dynamics. This study is based on the use of adaptive regression modeling approach implemented in the software package ARDM (adaptive regression dynamic modeling). The preliminary data was investigated for the presence of trend stability with fractal analysis. Currently, not only the experts in the field of solar physics, climatologists, and researchers in many fields related to the issue, but most of the world's population is conscious of the solar activity influence on many processes occurring in the world and directly defining the conditions of life and health. Most of the phenomena taking place on the Earth are indeed related to the solar activity either directly or indirectly. The solar activity is characterized by the number of spots produced on the sun surface. Their number is determined by a formula proposed by Rudolf Wolf. Variations of the solar activity are cyclic, with their minimum and maximum. Correspondingly, the effects of its influence are different. Thus, the ARDM software package is modified and the analysis, modeling and forecasting of the solar activity are carried out. The initial data includes two time series: the Wolf number over the period between 2000 and 2011 averaged monthly (124 cases) and the Wolf number over the same period averaged weekly (484 cases). 
610 4 |a Astrophysical Journal 
651 4 |a Belgium 
653 |a Research 
653 |a Analysis 
653 |a Software packages 
653 |a Fractal analysis 
653 |a Modelling 
653 |a Magnetic fields 
653 |a Fluid flow 
653 |a Solar physics 
653 |a Data analysis 
653 |a Meteorologists 
653 |a Physics 
653 |a Time series 
653 |a Dynamic models 
653 |a Influence 
653 |a Solar activity 
653 |a Sun 
653 |a Dynamics 
653 |a Computer programs 
653 |a Magnetohydrodynamics 
653 |a Climatology 
653 |a Earth 
653 |a Stability 
653 |a Stability analysis 
653 |a Regression analysis 
653 |a Computational fluid dynamics 
653 |a Software 
653 |a Solar system 
653 |a Computer software 
653 |a Environmental 
700 1 |a Andreev, Alexey  |u Kazan Federal University, Kazan, Russia 
700 1 |a Demina, Natalya  |u Kazan Federal University, Kazan, Russia 
700 1 |a Demin, Sergey  |u Kazan Federal University, Kazan, Russia 
700 1 |a Andreeva, Zoya  |u Kazan Federal University, Kazan, Russia 
773 0 |t International Multidisciplinary Scientific GeoConference : SGEM  |g vol. 18, no. 6.1 (2018), p. 529 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2181108763/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/2181108763/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2181108763/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch