Москва, г. Москва и Московская область, Россия
с 01.01.2023 по настоящее время
Москва, г. Москва и Московская область, Россия
ВАК 1.6 Науки о Земле и окружающей среде
УДК 550.394.4 Другого рода перемещения, влияние рельефа, разрушения
УДК 55 Геология. Геологические и геофизические науки
УДК 550.34 Сейсмология
УДК 550.383 Главное магнитное поле Земли
ГРНТИ 38.45 Неотектоника
ГРНТИ 37.01 Общие вопросы геофизики
ГРНТИ 37.15 Геомагнетизм и высокие слои атмосферы
ГРНТИ 37.25 Океанология
ГРНТИ 37.31 Физика Земли
ГРНТИ 38.01 Общие вопросы геологии
ГРНТИ 36.00 ГЕОДЕЗИЯ. КАРТОГРАФИЯ
ГРНТИ 37.00 ГЕОФИЗИКА
ГРНТИ 38.00 ГЕОЛОГИЯ
ГРНТИ 39.00 ГЕОГРАФИЯ
ГРНТИ 52.00 ГОРНОЕ ДЕЛО
ОКСО 05.06.01 Науки о Земле
ББК 263 Геологические науки
ББК 26 Науки о Земле
ТБК 632 Геофизика
ТБК 63 Науки о Земле. Экология
BISAC SCI019000 Earth Sciences / General
BISAC SCI SCIENCE
The paper presents the results of developing a method for analyzing time series of GNSS measurements based on a machine learning approach. The constructed algorithm was tested on GNSS data from the vicinity of sources of large earthquakes occurred in regions with different tectonic structures: the Japanese islands, Southern California, and the Peruvian-Chilean coast. It is shown that the proposed approach allows one to build an adequate, versatile, interpretable, statistically significant time series model using exclusively statistical data analysis methods, which will further allow one to create automated processing systems operating in a near-real-time mode.
спутниковая геодезия, современные движения и деформации земной поверхности, машинное обучение, анализ временных рядов
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