2017
DOI: 10.23947/2587-8999-2017-1-1-82-101
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Mathematical modeling of eutrophication processes in Azov Sea on supercomputers

Abstract: Introduction. The paper is devoted to the research of effective numerical methods for solving eutrophication problem of shallow waters taking into account water environment, spatiallynonuniform distribution of temperature and salinity, microturbulent diffusion, gravitational sedimentation, and spreading of biogenic pollution, oxygen, phyto-and zooplankton, etc. The simulation objects are shallow waters -the Azov Sea and Taganrog Bay. Materials and Methods. The mathematical model of eutrophication of shallow wa… Show more

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Cited by 5 publications
(4 citation statements)
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“…The parameters in the ecodynamics models are interpreted in completely different ways, but their increase causes the same rearrangements of the phase portrait and bifurcations of attractors. The "Feigenbaum cascade" is an example of the versatility of behavior, the phenomenon, against their will, many authors observe when calculating models of the dynamics of bioresources [10]. The computational structure of replenishment models was previously successfully applied only to stocks in a stable state, not in extreme conditions.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…The parameters in the ecodynamics models are interpreted in completely different ways, but their increase causes the same rearrangements of the phase portrait and bifurcations of attractors. The "Feigenbaum cascade" is an example of the versatility of behavior, the phenomenon, against their will, many authors observe when calculating models of the dynamics of bioresources [10]. The computational structure of replenishment models was previously successfully applied only to stocks in a stable state, not in extreme conditions.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…The «Feigenbaum cascade» is an example of behavioral versatilitythe phenomenon that many authors, against their will, observe when calculating models of the dynamics of bioresources. In [9] A.V. Nikitina purposefully and competently avoids chaotic effects during mathematical modeling of eutrophication processes in the Sea of Azov.…”
Section: Mathematical Improvement Of a Biological Theory Of The Replenishment Of Stocks Formationmentioning
confidence: 99%
“…With the development of technology, the speed of predictive modeling increases, so in the work of A.I. Sukhinov [17][18][19][20], the method of decomposition of the numerical field of a supercomputer is considered, which is necessary to increase the efficiency of calculations. The main goal of both the above-mentioned and most works on the optimization of computational structures used in mathematical modeling of hydrodynamic and biological kinetics processes is to accelerate calculations, and not to ensure the stability of providing forecasts.…”
mentioning
confidence: 99%