| Autor: |
Nikitinа, Alla, Filina, Alena, Belova, Yulia, Lyashchenko, Tatiyana, Litvinov, Vladimir, Kravchenko, Ludmila, Zabalueva, Alla |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2019, Vol. 2188 Issue 1, p050025-1-050025-10, 10p |
| Abstrakt: |
The paper covers the development and research epy computational structure for mathematical modelling of hydrobiological processes in shallow waters – Azov Sea and Gelendzhik Bay, based on the modern information technologies and computational methods to improve the accuracy of predictive modelling the ecological situations in waters during the summer. The models take into account following: the water flow movement; microturbulent diffusion; gravitational settling of pollutants; plankton populations nonlinear interaction; the salinity impact, temperature. The scheme with weights was proposed for discretization of the developed model, that allowed significantly reduce the error and the computational time. Practical significance of the work is that the proposed model was software implemented; the limits and prospects of its use were defined. The experimental software was designed on the basis of a graphics accelerator for mathematical modelling of possible development scenarios of the shallow waters ecosystems, taking into account the environment influence. Parallel implementation was performed using the decomposition methods for computationally labours diffusion-convection problems taking into account the CUDA architecture characteristics. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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