Afanasyev Sergey Dmitrievich (PhD in Law, Leading Specialist, Big Data Storage and Analysis Center, Lomonosov Moscow State University, Moscow)
Voronin Timofey Valerievich (Specialist, Big Data Storage and Analysis Center, Lomonosov Moscow State University,
Moscow
)
Kovrova Ekaterina Sergeevna (ведущий специалист, Центр хранения и анализа больших данных, МГУ имени М.В. Ломоносова,
Москва
)
Rakov Dmitry Alexandrovich (Leading Specialist, Big Data Storage and Analysis Center, Lomonosov Moscow State University,
Moscow
)
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this article is devoted to the analysis of world practices of water quality control of the world ocean and forecasting of water pollution risks using big data analysis technologies. A review of Russian and foreign solutions in the field of monitoring the state of ocean waters using promising technologies is carried out. The inhibiting factors of the introduction of big data are described, and further prospects for the introduction and application of systems for the prevention and elimination of man-made accidents on the water are described. The work uses the results of the project "Intelligent analysis of big data in the tasks of protecting ecology and the environment", supported by the Ministry of Science and Higher Education of the Russian Federation under the Agreement of Lomonosov Moscow State University with the Project Support Fund of the National Technology Initiative dated December 15, 2021 No. 70-2021-00252.
Keywords:ecology; man-made disasters; sustainable development; big data; monitoring the state of the ocean
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Citation link:
Afanasyev S. D., Voronin T. V., Kovrova E. S., Rakov D. A. GLOBAL PRACTICES OF USING BIG DATA ANALYSIS TECHNOLOGIES FOR MONITORING AND FORECASTING OCEAN WATER POLLUTION RISKS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№02. -С. 74-78 DOI 10.37882/2223–2966.2023.02.03 |
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