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Публікація Fractal and Multi-Fractal Analyses of the Geomagnetic Field Variations Caused by the Earthquake on January 24, 2020 in Turkey(2022) Onishchenko, A.; Chernogor, L.; Lazorenko, O.With usage of the Wavelet Transform Module Maxima method and the Multi-Fractal Detrended Fluctuation Analysis method, the set of traditional and original multi-fractal numerical characteristics was estimated. Combining the fractal and multi-fractal analyses results with ones for the time-frequency structure, obtained the Continuous Wavelet Transform application, the set of disturbances caused by the earthquake was discovered. For these disturbances, all needed time-frequency, fractal and multifractal characteristics were estimated. The disturbances were shown to be fractal ultra-wideband processes with complex, non-stationary multi-fractal structure. Two promising candidates for the role of earthquake precursors were revealed. One possible earthquake precursor in both horizontal components of the geomagnetic field time variations seems to be detected. This precursor was shown to be registered 25.5 hours before the earthquake event. Being be found in time variations of the multi-fractal characteristics only for both horizontal components of the geomagnetic field, another possible earthquake precursor took place 0.5 hours before the earthquake event. The so-called transition of the multi-fractal process to the monofractal mode was detected. For both precursors, the time-frequency, fractal and multifractal characteristics were estimated.Публікація Fractal and Multi-Fractal Analyses of the Geomagnetic Field Variations Caused by the Earthquake on January 24, 2020 in Turkey(Eskisehir Technical University, 2022) Onishchenko, A.; Chernogor, L.; Lazorenko, O.Fractal and multi-fractal properties of the Earth’s magnetic field time variations caused by the earthquake took place on January 24, 2020 in Turkey were investigated. Using the Dynamical Fractal Analysis method proposed by the authors for both (D and H) horizontal components of geomagnetic field, the time dependences for the Hurst fractal dimension were obtained. With usage of the Wavelet Transform Module Maxima method and the Multi-Fractal Detrended Fluctuation Analysis method, the set of traditional and original multi-fractal numerical characteristics was estimated. Combining the fractal and multi-fractal analyses results with ones for the time-frequency structure, obtained the Continuous Wavelet Transform application, the set of disturbances caused by the earthquake was discovered. For these disturbances, all needed time-frequency, fractal and multifractal characteristics were estimated. The disturbances were shown to be fractal ultra-wideband processes with complex, non-stationary multi-fractal structure. Two promising candidates for the role of earthquake harbingers were revealed. One possible earthquake harbinger in both horizontal components of the geomagnetic field time variations seems to be detected. This harbinger was shown to be registered 25.5 hours before the earthquake event. Being be found in time variations of the multifractal characteristics only for both horizontal components of the geomagnetic field, another possible earthquake harbinger took place 0.5 hours before the earthquake event. The so-called transition of the multifractal process to the mono-fractal mode was detected. For both harbingers, the time-frequency, fractal and multifractal characteristics were estimated.Публікація Time-Frequency and Fractal Analyses of the Earth's Magnetic Field Variations Appeared During Powerful Geospace Storms Took Place in September 2017(Taras Shevchenko National University of Kyiv Astronomical Observatory, 2021) Chernogor, L.; Lazorenko, O.; Onishchenko, A.According to the non-linear and the system paradigms, many processes generated in open, non-linear, dynamical systems under influence of a powerful source of energy release are appeared to be short-time, ultrawideband, non-linear and fractal.