INTELLECTUAL ANALYTICAL GEOINFORMATION SYSTEM “EARTH SCIENCE DATA FOR THE TERRITORY OF RUSSIA”

The present study is aimed at the integration of data on geography, geology, geophysics, geoecology and other Earth sciences in the comprehensive problem-oriented geoinformation system (GIS) including the intellectual superstructure for geoinformation analysis. At the present time GIS provide only limited opportunities for general analysis of geodata handled. At the same time, among the scientific community, dealing with the Earth sciences data, the requirement of more profound and comprehensive data analyzing and processing is constantly growing. The theory and methods of artificial intellect (AI) must become not only an integral, but the main core of a modern GIS. The methods of fuzzy mathematics correlate with a fuzzy character of geophysical data. The AI methods, developed by the authors, and presently applied to volcanic activity monitoring, search and interpretation of anomalies in geophysical fields, solving environmental, geodynamic and other problems, turned out to be a success

Intellectual Geoinformation System for Earth Sciences

A new technology was elaborated, combining a geoinformation system (GIS) and GIS- oriented algorithmic methods of artificial intellect (AI). Numerous thematic layers for geosciences, obtained from Russian and international scientific sources, were imported into the GIS. Technology and software for integration of AI methods within the GIS in the form of the Centralized Catalogue of Geodata Processing Algorithms (CCGPA) was developed. A GIS visualization subsystem was created to provide interaction between the GIS and its users. It performs geodata layers visualization, map operations, geodata set management, execution of CCGPA-stored algorithms and representation of application results

Assessment of the Influence of Astronomical Cyclicity on Sedimentation Processes in the Eastern Paratethys Based on Paleomagnetic Measurements Using Discrete Mathematical Analysis

The introduction of modern methods for the mathematical processing of geological data is one of the promising areas of study and development in the field of geosciences. For example, today mathematical geology makes it possible to reliably identify astronomical cycles by measuring the scalar magnetic parameters of rocks (magnetic susceptibility). The main aim of this study is to develop a mathematical tool for identifying stable oscillation cycles (periods) in the dataset of the magnetic susceptibility of rocks in a geological section. The author’s method (algorithm) is based on the concept of discrete mathematical analysis—an innovative mathematical approach to the analysis of discrete geological and geophysical data. Its reliability is also demonstrated, by comparison with the results obtained by classical methods: Fourier analysis, Lomb periodogram, and REDFIT. The proposed algorithm was applied by the authors to analyze the material of field geological studies of the Zhelezny Rog section (Taman Peninsula). As a result, stable cycles were determined for the Pontian and Lower Maeotian sedimentary strata of the Black Sea Basin (Paratethys)