IMPROVEMENT OF ANTHROPOGENIC ENVIRONMENTAL LOADS ASSESSMENT METHODS USING MODERN INFORMATION TECHNOLOGIES

  • Bakunova Oksana Mikhailovna Master of Technical Sciences, Senior Lecturer, Belarusian State University of Informatics and Radio Electronics Minsk, Republic of Belarus
  • Abraztsova Volha Mikalaeuna Ph.D., Belarusian State University of Informatics and Radio Electronics Minsk, Republic of Belarus
  • Bakunov Alexander Mikhailovich Master of Technical Sciences, Senior Lecturer, Belarusian State University of Informatics and Radio Electronics Minsk, Republic of Belarus
  • Burkin Anton Vladimirovich software engineer, BRIMIT company, Minsk, Belarus
DOI: https://doi.org/10.31435/rsglobal_wos/31102019/6737
Keywords: innovations, developing technologies, the modern platforms of programming, ecology

Abstract

The innovative path of human development is characterized by the active use of information technology in any field. This is due to the rapid development of high technologies and, accordingly, with the advent of new data analysis tools. One of the rapidly developing areas of application of information technology, to which there is great interest in society, the state, commercial organizations, is high-quality forecasting.

References

Environmental Indicators and Indicators-based Assessment Reports – Eastern Europe, Caucasus and Central Asia // ECE/CEP/140

UNECE Convention on Access to Information, Public Participation in Decision-making and Access to Justice in Environmental Matters (Aarhus Convention) [Electronic resourse]. URL: https://www.unece.org/env/pp/treatytext.html (access date: 23.10.2017)

Hygienic standards 2.1.7.12-1-2004 “The list of maximum permissible concentrations (MPC) and tentatively permissible concentrations (MPC) of chemicals in the soil”.

The National Environmental Monitoring System of the Republic of Belarus: Observation Results, 2015 / Edited by M.A. Eresko [Electronic resource]. Electron. text, graph. data. (55.5 Mb), - Minsk, "Bel SIC" Ecology ". - 2016. - 1 electron. opt. disc (CD-ROM): color; 12 cm. - System. requirements: Pentium II and higher; Windows XP

Bakunova O. M., Kalitenya I. L., Bakunov A. M., Paluiko A. F., Antonov E. D., Grechko I. S. Use of neural networks in education. INTERNATIONAL ACADEMY JOURNAL Web of Scholar 1 (19), Vol. 1, - Warsaw, Poland, 2018 S. 8 - 11

Bakunova O. M., Khmelevskaya A. L., Belikov A. S., Mironchik A. N., Agapkin L. M., Chuchval A.Yu. Using modern approaches and neural networks for quality education in universities // I International Symposium "Humanities and Social Sciences in Europe: Achievements and Prospects" - Vienna, Austria 2018

National Strategy for Sustainable Socio-Economic Development of the Republic of Belarus for the Period Until 2020 / National Commission on Sustainable Development Rep. Belarus; Editorial Board: Ya.M. Alexandrovich et al. - Mn.: Unipak. - 200 s

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Published
2019-10-31
Citations
How to Cite
Bakunova Oksana Mikhailovna, Abraztsova Volha Mikalaeuna, Bakunov Alexander Mikhailovich, & Burkin Anton Vladimirovich. (2019). IMPROVEMENT OF ANTHROPOGENIC ENVIRONMENTAL LOADS ASSESSMENT METHODS USING MODERN INFORMATION TECHNOLOGIES. International Academy Journal Web of Scholar, (10(40), 28-32. https://doi.org/10.31435/rsglobal_wos/31102019/6737
Issue
No 10(40) (2019): International Academy Journal Web of Scholar
Section
Computer Science

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