ГНСС-мережа GeoTerrace

The study presents an assessment of the geodynamic characteristics of territories around Ukrainian hydroelectric power plants based on GNSS observations from countinious operating reference stations (CORS) of GeoTerrace and System.Net networks for the period 2019–2025. Daily solutions are computed using Bernese 5.2 software and subsequently transformed into the ETRF-2020 reference frame. The methodology includes the estimation of linear trends and annual horizontal velocities of GNSS stations in the north and east components.

One of the applied geodetic tasks in geodynamics is the detection of anomalous deviations in GNSS time series, which may indicate deformations of the Earth's surface caused by various geophysical phenomena. It is important to note that geodynamic anomalies may be of a local nature, manifesting at a single GNSS station, or of a regional nature, occurring simultaneously across a group of GNSS time series. The objective of this article is to develop a method for detecting geodynamic anomalies in GNSS time series using machine learning algorithms.

The paper analyzes the recent trends of horizontal and vertical displacements of Ukraine's territory based on the GeoTerrace and System.Net GNSS network data. This includes the construction of relevant movement maps and the selection of deformation zones of the upper crust. The object of research is horizontal and vertical deformations of the upper crust. The goal is to identify and analyze deformation zones in Ukraine's territory.