“…In total, in the study area of 200x300 km, 18 GNSS stations are located, which accumulate data, enabling them to perform high-precision geodetic reference to the global IGS network in the mode of cyclic monitoring measurements. In [5], it is shown that, as a key source of information on geodynamic movements based on the results of monitoring measurements carried out over large spacio-temporal intervals, it is advisable to use not the absolute values of the displacement vectors of GNSS points and benchmarks of observation stations, but their velocities normalized to the annual cycle. Normalizing the velocities to the annual cycle is necessary when carrying out monitoring using cyclic measurements irregular in time to bring the results to a common spaciotemporal basis.…”
The methodology and results of an experimental study of modern geodynamic movements using the data from geodetic deformation monitoring are presented. The related issues of modeling natural, anthropogenic, and ecological systems are considered. A technique for visualizing geodynamic movements based on the results of cyclic geodetic measurements, which allows to reasonably identify active geological structures, blocks, tectonic faults, is presented. It is shown that as a key source of information on geodynamic movements over large spatio-temporal intervals, it is advisable to use not the absolute values of the vectors of displacement of observation points, but their velocities, normalized to the annual cycle. It is indicated that an important characteristic of the vector field of geodynamic movements is divergence, which characterizes the degree of convergence or divergence of the vector flow.
“…In total, in the study area of 200x300 km, 18 GNSS stations are located, which accumulate data, enabling them to perform high-precision geodetic reference to the global IGS network in the mode of cyclic monitoring measurements. In [5], it is shown that, as a key source of information on geodynamic movements based on the results of monitoring measurements carried out over large spacio-temporal intervals, it is advisable to use not the absolute values of the displacement vectors of GNSS points and benchmarks of observation stations, but their velocities normalized to the annual cycle. Normalizing the velocities to the annual cycle is necessary when carrying out monitoring using cyclic measurements irregular in time to bring the results to a common spaciotemporal basis.…”
The methodology and results of an experimental study of modern geodynamic movements using the data from geodetic deformation monitoring are presented. The related issues of modeling natural, anthropogenic, and ecological systems are considered. A technique for visualizing geodynamic movements based on the results of cyclic geodetic measurements, which allows to reasonably identify active geological structures, blocks, tectonic faults, is presented. It is shown that as a key source of information on geodynamic movements over large spatio-temporal intervals, it is advisable to use not the absolute values of the vectors of displacement of observation points, but their velocities, normalized to the annual cycle. It is indicated that an important characteristic of the vector field of geodynamic movements is divergence, which characterizes the degree of convergence or divergence of the vector flow.
“…Трендовые движения пунктов геодинамического полигона и реперов наблюдательной станции определяются на основе анализа рисунок 5.9. Иерархия рангов геодезических построений изменений пространственных приращений координат (векторов) ∆X, ∆Y, ∆Z, происходящих в промежутках между повторными циклами измерений [120,121], а цикличные короткопериодные определяются проведением непрерывных измерений [122]. Полученные в результате инструментальных измерений деформации интервалов с использованием математического аппарата механики сплошной среды преобразуются в векторное и тензорное представление деформационного поля с выделением главных компонентов тензора деформаций [123].…”
Section: формирование баз данных современных геодинамических движений...unclassified
The paper presents the tasks, methods and results of comprehensive research in geoinformatics and in development of raw material base of the mining and metallurgical complex that are conducted at the Institute of Mining of the Ural Branch of the Russian Academy of Sciences. The main objectives of the research include evaluation of methods of information and analytical support for the use of subsurface resources, means and methods of multi-tier processing of geodata, digital modeling of geo-objects and complex geomonitoring; substantiation of methods of complex geomonitoring that ensure the integrated development of subsurface resources of the Earth with a safe level of anthropogenic impact on the geo-environment; development of methods of information and analytical support for subsurface resources to solve the challenges of integrated development of mineral raw materials. As the result, criteria for assessing the protection of mining territories are justified; the intensity of the self-restoration process of areas disturbed by mining operations is estimated; a methodical approach to the accumulation and processing of geodynamic and geoinformation monitoring data from mining territories in mutual geospatial correlation is proposed; a systematization of factors, objects and types of risks in subsoil use that generate negative effect. This approach helps to justify the range of geodata required to assess the probability of a specific type of risk.
“…Aerial survey and laser scanning provide high information content of observations and detailed surface models but these methods are characterized by a high cost of the work [4]. The Global Navigation Satellite System (GNSS) technologies allow obtaining precise data regardless of the season and time of day [5,6]. However, this method is pointwise: measurements are taken directly in the areas of displacements and therefore it is impossible to obtain data in dangerous zones [7].…”
Abstract. Design, planning and management of opencast and underground mining require safety control of mining operations. Geodynamic monitoring of mining areas is necessary for operational forecasting and prevention of dangerous deformation processes. The identification of geodynamic active zones and forecasting of geodynamic risks are based on systematic observations of the surface and mining facilities. A promising method of obtaining timely spatial information to solve the problems mentioned is the satellite radar imagery. The integration of radar products and intelligent information systems improves the efficiency and accuracy of data analysis. The paper presents the methods of radar image processing in order to conduct comprehensive monitoring of the Earth's surface and infrastructure in mining enterprises. For efficient use of thematic processing products the results were placed on the web server in the information-analytical system "RegionView" providing distributed access to spatial data through the web interface and standard protocols.
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