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PREDICTIVE MODELING OF POLLUTION SPREADING INFLUENCE ON PLANKTON PRODUCTIVITY

В. А. Гущин

First published: 2019-06-20https://doi.org/10.5593/sgem2019/5.1/s20.070View metrics

Abstract

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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Publication details

Title
PREDICTIVE MODELING OF POLLUTION SPREADING INFLUENCE ON PLANKTON PRODUCTIVITY
Authors
В. А. Гущин
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2019
Pages
559-566
SWS Citekey
Gushchin201920559566
ISSN
1314-2704
ISBN
978-619-7408-84-3
Language
en
Publication type
Conference Paper
Keywords
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