Том 23, № 6 (2023)
Статьи
REGRESSION DERIVATIVES AND THEIR APPLICATION IN THE STUDY OF MAGNETIC STORMS
Аннотация
Discrete Mathematical Analysis (DMA) is a data analysis method that uses fuzzy mathematics and fuzzy logic. DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. In the present work, such properties are related to regression derivatives, and the results obtained are applied to magnetic records. The possibilities of the method in the morphological analysis of geomagnetic storms are demonstrated on the example of three strongest storms that have occurred since the beginning of the current 25th solar cycle.



MODELING THE HORIZONTAL VELOCITY FIELD OF THE EARTH’S CRUST IN A REGULAR GRID FROM GNSS MEASUREMENTS
Аннотация
There are numerous methods for modeling velocity fields of the Earth’s crust. However, only a few of them are capable of modeling data beyond the contour of the geodetic network (extrapolating). Spatial modeling based on a neural network approach allows for the adequate modeling of the field of recent crustal movements and deformations of the Earth’s crust beyond the geodetic network contour. The study extensively examines the hyperparameter settings and justifies the applicability of the neural network model for predicting crustal movement fields using the Ossetian geodynamic polygon as an example. The presented results, when compared to classical modeling methods, demonstrate that the neural network approach confidently yields results no worse than classical methods. The results of modeling for the Ossetian polygon can be used for geodynamic zoning, identification zones of extension and compression, computing the tectonic component of stresses, and identifying areas of high-gradient displacements.



THE PRESENT STATE OF THE KOLA PENINSULA BROADBAND SEISMIC NETWORK
Аннотация
This paper provides information about the main parameters of spatial broadband seismic network in the Kola region (the northeastern part of the Fennoscandian Shield). Since 2021 the seismic network has been expanded by five seismic stations and currently consists of nine stations located on the territory of the Russian Federation. Configuration of the network allows to broaden the scope of research of the Kola region lithospheric structure significantly. The prospects of integrating the newly installed stations into the automated regional seismic monitoring network are considered. The analysis of seismic noise in the places of installation of new seismic stations was carried out. It was shown that the data provided by the new broadband stations increases the accuracy of seismic events location in the research area.



INFLUENCE OF ROCK WATERING ON POST-SEISMIC ACTIVITY: A STUDY ON THE KHIBINY MASSIF
Аннотация



УЛУЧШЕНИЕ ТОЧНОСТИ ПРОГНОЗА СОСТОЯНИЯ МИРОВОГО ОКЕАНА ЗА СЧЕТ ОПТИМАЛЬНОГО РАСПОЛОЖЕНИЯ ИЗМЕРИТЕЛЕЙ
Аннотация



ДИНАМИКА ОСЕДАНИЯ И ОСАДКОНАКОПЛЕНИЯ ПРИОЗЕРНОЙ ЧАСТИ ДЕЛЬТЫ Р. РИТЫ В ЗОНЕ РАЗРЫВОВ НА СЕВЕРО-ЗАПАДНОМ ПОБЕРЕЖЬЕ ОЗ. БАЙКАЛ
Аннотация



THEORETICAL AND EXPERIMENTAL MODELING OF LOCAL SCALE CO2 FLUSHING OF HYDROUS RHYOLITIC MAGMA
Аннотация
Flushing of hydrous silicic magmas with crustal carbonic fluid may be an important factor controlling the dynamics of rhyolitic eruptions. We present combined theoretical and experimental study of the interaction of carbonic fluid with a hydrous silicic melt. The process of diffusional equilibration of a CO2 bubble with a silicic melt was simulated numerically in the spherical shell approximation. The rapid water transfer from the melt to the bubble is followed by a slower diffusion of CO2 into the melt. The water distribution in the melt becomes almost uniform over a period proportional to the diffusional unit of time 0.14τw, determined by the initial inter-bubble distance W equal the distance between neighbor bubbles centers and the water diffusion coefficient Dw in the melt (τw = W 2/Dw), while the CO2 distribution remains strongly contrasting and the melt remains undersaturated in CO2. This process was modelled experimentally with a hydrous albite melt at P = 200MPa and T = 950–1000 °C. In the first series of experiments at T = 950◦C, a glass powder was filled with pure CO2 at the beginning of the experiment, forming numerous bubbles at the run temperature. Micro-FTIR measurements showed that after 40 minutes the water content in the melt decreased from 4.9 down to 1.8 wt. % with the maximum CO2 content of 500 ppm (below saturation). After 4 hours, the crystallinity increased to 85%, and almost all of the fluid bubbles escaped. The second series of experiments CO2 interacted with a 2 mm high column of hydrous albite melt. Diffusion profiles in the quenched glass were measured using EMPA (H2O) and micro-FTIR (CO2 and H2O). The estimated diffusion coefficients in the melt for H2O (1.1 × 10−6 cm2 /s) and CO2 (1.5 × 10−7 cm2 /s) are consistent with published data. Scaling analysis predicts that in the nature, after the influx of CO2 bubbles a few millimeters in size, the maximum dehydration of rhyolitic magma with viscosity near 105 Pa s without a significant increase in CO2 content occurs after 1–30 days, i.e. a period compatible with the minimum duration of pre-eruption processes in the magma chamber.



ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ВНУТРЕННИХ ВОЛН В ПРИУСТЬЕВОЙ ЗОНЕ ДУНАЯ ПО СПУТНИКОВЫМ ДАННЫМ ВЫСОКОГО РАЗРЕШЕНИЯ
Аннотация



ПРОСТРАНСТВЕННЫЕ ВАРИАЦИИ КОЭФФИЦИЕНТА ГРУППИРУЕМОСТИ ЗЕМЛЕТРЯСЕНИЙ (НА ПРИМЕРЕ ЯПОНИИ)
Аннотация



ON THE USE OF A COMPLEX INDICATOR OF THE STABILITY OF PERMUTATION ENTROPY OF TIME SERIES FRAGMENTS WHEN ANALYZING INFRASOUND MONITORING SIGNALS OF THE ALTAI REPUBLIC
Аннотация
This paper discusses one of the approaches that allows us to assess the degree of complexity or randomness of fragments of a time series in order to detect infrasound or geomagnetic signals in the results of observations of the dynamics of the natural or man-made processes under study. In our case, we are talking about monitoring the infrasound background on the territory of the Altai Republic. To solve the problem of estimating the required characteristics of a time series with minimal computational costs and in real time, a complex indicator of the stability of permutation entropy is introduced, since estimating the value of classical permutation entropy for n = 3 (the most commonly used version of permutation entropy) does not allow solving the problem with sufficient accuracy.


