Information technologies for automation of hyddrophisical situation molelling and forecasting in the Black Sea region

Authors

  • Oleksandr A. Shyptsov Doctor of Geographical Sciences, Professor, Corresponding Member of National Academy of Sciences of Ukraine, Director, State Institution «Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0002-6285-0663
  • Anton Yu. Gordeev Doctor of Geographical Sciences, Senior Researcher, Deputy Director, State Institution «Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0002-7263-0525
  • Oleksii H. Lebid Doctor of Engineering Sciences, Senior Researcher, Institute of Telecommunications and Global Information Space of National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-4003-8068
  • Viacheslav O. Okhariev Candidate of Engineering Sciences, Senior Researcher, Institute of Telecommunications and Global Information Space of National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0001-6270-6293
  • Roman I. Telychko Leading engineer, Institute of Telecommunications and Global Information Space of National Academy of Sciences of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0002-3574-7919
  • Sergiy H. Fedoseienkov Candidate of Engineering Sciences, Senior Researcher, Head of the Department of panoramic acoustic systems, State Institution «Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0002-9576-2977
  • Oleksiy I. Shundel Candidate of Physics and Mathematics Sciences, Senior Researcher, State Institution «Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0002-3076-9553

DOI:

https://doi.org/10.32347/2411-4049.2023.1.91-103

Keywords:

hydrophysical situation, water area of the Black Sea, mathematical modeling, predictive model, automated information system, environmental safety

Abstract

The article offers a solution to the scientific and applied problem of automating the acquisition and analysis of a certain set of hydrophysical indicators with the subsequent formation of a forecast of the hydrophysical situation in the Black Sea water area. This topic is of great relevance both in peacetime and in the conditions of the current armed aggression of the Russian Federation against Ukraine. The solved task is an important element of solving the more complex problem of operational obtaining of oceanographic data for highlighting the hydrographic situation in the Black Sea water area, collection, accumulation and visualization of oceanographic data in the interests of navigation and hydrographic support of users of such information. To solve this problem, a software environment was created for automatic search and selection of hydrophysical data, as well as their automatic input into specialized software for modeling and forecasting the hydrophysical situation with subsequent calculation of forecasts of hydrophysical fields. A set of the most important data was formed, which includes indicators of salinity, temperature, circulation. Automatic search and selection of meteorological and hydrophysical data takes place from international GFS and COPERNICUS profile databases. Also, to increase the effect of the simulations and forecasts, a specialized interface was developed for searching, visualization, and the possibility of downloading by the user the results of the forecast module of the mathematical modeling of the spatio-temporal variability of the hydrophysical fields of the northwestern part of the Black Sea. The developed scientific and practical approaches and toolkit are designed to function within the framework of the distributed and centralized Bank of Oceanographic Data of the National Academy of Sciences of Ukraine, part of which is an intellectual information system for highlighting the hydrographic situation in the Black Sea water area. The obtained results are also aimed at increasing the level of environmental safety in the Black Sea water area and can be used to monitor nature management in this region.

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Published

2023-03-29

How to Cite

Shyptsov, O. A., Gordeev, A. Y., Lebid, O. H., Okhariev, V. O., Telychko, R. I., Fedoseienkov, S. H., & Shundel, O. I. (2023). Information technologies for automation of hyddrophisical situation molelling and forecasting in the Black Sea region. Environmental Safety and Natural Resources, 45(1), 91–103. https://doi.org/10.32347/2411-4049.2023.1.91-103

Issue

Vol. 45 No. 1 (2023): Environmental safety and natural resources

Section

Information systems and mathematical modeling

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Copyright (c) 2023 Shyptsov O., Gordeev A., Lebid O., Okhariev V., Telychko R., Fedoseienkov S., Shundel O.

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