GEOPHYSICAL RESEARCH, 2020, vol. 21, no. 2, pp. 5-18. https://doi.org/10.21455/gr2020.2-1
UDC 550.8.05
Abstract References Full text (in Russian) Full text (in English)
RESEARCH OF FRACTAL DIMENSION OF TIME SERIES OF GRAVIMETRIC OBSERVATIONS
V.N. Koneshov(1), V.B. Nepoklonov(1,2), M.N. Drobyshev(1), E.S. Spiridonova(2)
(1) Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia
(2) Moscow State University of Geodesy and Cartography (MIIGAiK), Moscow, Russia
Abstract. The article is devoted to the analysis of time series of gravimetric observations using the value of fractal dimension as an indicator of persistence (stability) of the time series. Various numerical methods for assessing this indicator are examined and compared. Using real measuring data, quantitative estimates of the fractal dimension of nine trial time series of gravimetric observations are obtained for two components - the measured values of acceleration of gravity and root mean square deviations of the measurement errors. The obtained estimates are characterized by values from 1.12 to 1.44 for the first component and from 1.26 to 1.42 for the second component, which indicates the stable persistence (inertia) of these time series. The dependence of fractal dimension on the length of the series, the type of the trend-forming polynomial, the estimation method and its settings (using the methods of normalized range and minimum covering) are experimentally studied. Suggestions are given on the method for obtaining fractal dimension estimates and their practical application.
Keywords: gravimetric observations, time series, minimum coverage method, normalized range method, persistence, fractal dimension.
References
Abramov D.V., Drobyshev M.N., Koneshov V.N., Specifying the values of delta factor for the Dolgoe Ledovo permanent gravity station, Izv. Phys. Solid Earth, 2013a, no. 1, pp. 84-87. [in Russian].
Abramov D.V., Drobyshev M.N., Koneshov V.N., Estimating the influence of seismic and meteorological factors on the accuracy of measurements by relative gravimeters, Izv. Phys. Solid Earth, 2013b, no. 4, pp. 105-110. [in Russian].
Abramov D.V., Koneshov V.N., Chebrov V.N. Improving the methodology for long-term observations with a relative gravimeter CG-5, Seismic Instruments, 2016, vol. 52, no. 3, pp. 20-26. [in Russian].
Akhmetkhanov R.S., Dubinin E.F., Kuksova V.I., Time Series Analysis in the Diagnostics of Technical Systems, Mechanical Engineering and Engineering Education, 2013, no. 2 (35), pp. 11-20. [in Russian].
Amosov O.S., Muller N.V., The study of time series using the methods of fractal and wavelet analysis, Naukovedenie, 2014, is. 3, pp. 1-12. [in Russian].
Barabash T.K., Maslovskaya A.G., Computer modeling of fractal time series, Bull. Amur State. Univ. Series: natural and economic sciences, 2010, no. 49, pp. 31-38. [in Russian].
Barton C., Pointe R.P.L., Fractals in the Earth Sciences, New York: Plenum Press, 1995, 265 p.
Dimri V.P., Fractals in Geophysics and Seismology: An Introduction. In: Dimri V.P. (eds) Fractal Behaviour of the Earth System, Berlin, Heidelberg: Springer, 2005, pp. 1-22.
Drobyshev M.N., Koneshov V.N., Evaluation of the gravimeter CG-5 AutoGrav limit accuracy, Seismic Instruments, 2013, vol. 49, no. 2, pp. 39-43. [in Russian].
Drobyshev M.N., Koneshov V.N., Nepoklonov V.B., Amplification of vertical point position on the earth’s surface using geophysical data, Izv. vusov. Geodesy and aerophotography, 2016, no. 1, pp. 14-18. [in Russian].
Dubovikov M.M., Kryanev A.V., Starchenko N.V., Dimension of the minimal cover and local analysis of fractal time series, Vestnik RUDN, 2004, vol. 3, no. 1, pp. 81-95. [in Russian].
Feder J., Fractals, New York and London, Plenum Press, 1988, 283 p.
Gaidukova E.V., Comparative analysis of methods of fractal diagnosis of hydrological series, Uchenye zapiski RSHMU, 2016, no. 42, pp. 9-14. [in Russian].
Hurst H.E., Long-term storage capacity of reservoirs, Trans. Amer. Soc. Civ. Eng., 1951, vol. 116, pp. 770-808.
Hurst H.E., Black R.P., Simaika Y.M., Long-Term Storage: An Experimental Study, London, Constable, 1965, 145 p.
Imashev S.A., Sychev V.N., Feasibility assessment of application of fractal analysis methods for geophysical data. Part 2. Fractal analysis of the seismic signal, Vestnik KRSU, 2017, vol. 17, no. 5, pp. 78-82. [in Russian].
Kantelhardt J.W., Fractal and Multifractal Time Series, In: Meyers R. (eds) Mathematics of Complexity and Dynamical Systems, New York: Springer, 2012, pp. 463-487.
Kirichenko L., Chalaya L., Integrated approach to the study of fractal time series, Int. J. “Information Technologies & Knowledge”, 2014, vol. 8, no. 1, pp. 22-28. [in Russian].
Koneshov V.N., Abramov D.V., Dorozhkov V.V., The land based seismic-gravimetric complex creation and exploitation specialties, Seismic Instruments, 2010, vol. 46, no. 4, pp. 5-13. [in Russian].
Kronover R.M., Fractals and chaos in dynamical systems. Fundamentals of Theory, Moscow: Postmarket, 2000, 352 p. [in Russian].
Kurdyukov V.I., Ostapchuk A.K., Ovsyannikov V.E., Rogov E.Yu., Analysis of methods for determining fractal dimension, Bull. of KuzGTU, 2008, no. 5, pp. 46-49. [in Russian].
Kuznetsov V.V., Earth Physics, Novosibirsk, 2011, 840 p. [in Russian].
Lyubushin A.A., Analysis of data from geophysical and environmental monitoring systems, Moscow: Nauka, 2007, 228 p. [in Russian].
Mandelbrot B., Fractal geometry of nature, Moscow: Institute for Computer Research, 2002, 656 p. [in Russian].
Mitin V.Yu., The method of minimal coverage and other methods of fractal analysis of the roughness of the relief of surfaces, Bull. of Perm University. Series: Mathematics. Mechanics. Computer science, 2013, is. 2 (21), pp. 16-21. [in Russian].
Osipov G.S., Assessment of fractality of financial time series by means of Hurst exponent, Int. J. Humanities and Natural Sciences, 2017, no. 4, pp. 46-52. [in Russian].
Pashchenko F.F., Amosov O.S., Muller N.V., Structural and parametric identification of the time series using fractal and wavelet analysis, Computer science and control systems, 2015, no. 2 (44), pp. 80-88. [in Russian].
Popov P.V., Nozik A.A., Processing the results of a training experiment, Moscow: MIPT, 2019, 62 p. https://mipt.ru/upload/medialibrary/111/main.pdf. [in Russian].
Ranguelov B., Ivanov Y., Fractal properties of the elements of Plate tectonics, Journal of Mining and Geological Sciences, 2017, vol. 60, part 1, Geology and Geophysics, pp. 83-89.
Yuzefovich A., Yuzefovich P., Exploring SCINTREX CG5 gravimeters with measurements on points of variometric survey in MIIGAiK, Izv. vusov. Geodesy and aerophotography, 2015, no. 2, pp. 3-5. [in Russian].
Zhang K., Featherstone W., Exploring the Detailed Structure of the Local Earth's Gravity Field Using Fractal and Fourier Power Spectrum Techniques, Int. Geoid Service Bull., 2000, no. 10, pp. 46-58.