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PREDICTIVE MODELING OF POLLUTION SPREADING INFLUENCE ON PLANKTON PRODUCTIVITY
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V. A. Gushchin;A. I. Sukhinov;A. E. Chistyakov;A. V. Nikitina;A. A. Filina
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1314-2704
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English
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19
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5.1
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The paper covers the development, research and numerical implementation the complex of interrelated mathematical models of hydrophysics and biological kinetics on a supercomputer for predictive modeling of pollution spreading processes in boundary atmosphere and water layers at increasing the anthropogenic influence, climatic and industrial challenges, and occurrence of eliminating contingencies of technogenic or natural characters. Discrete analogues of developed model problems of water ecology, included in the developed software complex, were developed on the basis of high-order accuracy schemes. The modified alternating triangular method was used for solution of grid equations at discretization of water ecology model problems. It has the best convergence rate under the condition of asymptotic stability of difference schemes for parabolic equations, the efficiency of which has been improved using updated spectral estimates. Effective parallel algorithms of numerical implementation of hydrophysics and biological kinetics problems were developed for analysis sediment spreading processes in the ?air-water? system in real and accelerated time.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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559-566
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30 June - 6 July, 2019
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website
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cdrom
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6020
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pollution; ?air-water? system; Azov Sea; modeling; software complex.
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