2023 , Volume 28, № 6, p.81-94

Purpose. An information system (IS) is presented for visualization and computational analysis of data from complex geophysical monitoring of the Baikal region (BR), which is carried out by the Institute of the Earth’s Crust SB RAS.

Methodology. Complex geophysical monitoring of the BR is based on organizing a network of continuous long-term observations of the parameters of geophysical fields in the study area. Monitoring includes registration, as well as further operational processing and interpretation of data leading to predictive estimates. The Institute of the Earth’s Crust SB RAS has created a pilot network of complex geophysical monitoring, consisting of three testing sites: “Priolkhonye”, “Buguldeika” and “Listvyanka”. The IS was built for integration and analysis of data received from geophysical test sites of the BR in order to assess the state of the geological environment and predict the manifestations of hazardous processes.

Findings. The IS is built on a client-server architecture. Data storage, processing and analysis is carried out on a server, which can be accessed by users via the Internet using a web browser. User interaction with the IS is carried out through a control panel, which is a graphical web interface that allows managing functional tasks by selecting monitoring items, types and channels of monitoring, observation time intervals, types of data processing and analysis for signal visualization. It also lists available data preprocessing methods, including filling data gaps, removing outliers, and various filtering methods (linear frequency, Savitzky – Golay, sliding window processing, and others). The set of data analysis methods includes various types of spectral and wavelet analysis, a number of multifractal, entropy and correlation analysis.

Originality/value. The IS ensures the efficiency of processing and visualization on a single time grid of seismological, magnetotelluric, emanation, deformometric, geodetic, engineering-geological and hydrogeological monitoring data for a network of observation points in the Baikal region. Thanks to the services provided by the IS, it was possible to increase the efficiency of solving problems of predicting the dynamics of seismic activity in the Baikal region using geophysical methods.