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ANALYSIS OF THE TERRESTRIAL POLE COORDINATES USING REGRESSION DYNAMIC MODELING

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Vydáno v:International Multidisciplinary Scientific GeoConference : SGEM vol. 18, no. 2.2 (2018), p. 73
Hlavní autor: Andreev, Alexey
Další autoři: Nefedyev, Yury, Mubarakshina, Regina, Demina, Natalya, Demin, Sergey
Vydáno:
Surveying Geology & Mining Ecology Management (SGEM)
Témata:
North Pole
Research
Analysis
Software packages
Fractal analysis
Modelling
Communication
Software
Polar coordinates
Researchers
Spectral analysis
Modules
Time series
Dynamic models
Terrestrial environments
Wavelet analysis
Fractal models
Kalman filters
Dynamics
Computer programs
Physics
Hypotheses
Geophysics
Stochastic models
Regression analysis
Computer software
Economic
Environmental
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Abstrakt:For processing observations of the terrestrial pole dynamics, the regression dynamic modeling (RDM) approach was used. With the RDM software package the models describing the dynamics of the terrestrial polar coordinates were built. This approach provides accurate combined models of observations which describe to some extent causal and deterministic communication and provide forecast of characteristics. A comparison of observations and predicted values of the terrestrial polar coordinates obtained with the RDM approach and by other researchers is performed. To solve the problem, the expansion of the RDM automated systems was made. The basic version is supplemented by new software modules for the developed technique and geophysical observations features. The RDM software package intended for processing geophysical characteristics contains the modules as follows: 1) A spectral window to transform uneven observations to even ones; 2) Cross-spectral analysis to identify common significant harmonics of two observations; 3) Kalman Filter to eliminate noise from the residues of a model; 4) Fractal analysis to verify the series on trendstability; 5) Set of wavelets; 6) Processing scenarios to build the best on the "external" standard deviation model of (SD) model of Time series (TS) automatically.
ISSN:1314-2704
DOI:10.5593/sgem2018/2.2/S08.010
Zdroj:Engineering Database