Title: Multi-species model of interacting biological populations of shallow water
Issue Date: 2020
Publisher: Самарский национальный исследовательский университет
Citation: Sukhinov A.I. Multi-species model of interacting biological populations of shallow water / A.I. Sukhinov, A.V. Nikitinа, A.A. Filina, A.L. Leontyev // Информационные технологии и нанотехнологии (ИТНТ-2020). Сборник трудов по. материалам VI Международной конференции и молодежной школы (г. Самара, 26-29 мая): в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В. А. Соболева]. – Самара: Изд-во Самар. ун-та, 2020. – Том 3. Математическое моделирование физико-технических процессов и систем. – 2020. – С. 766-775.
Series/Report no.: ;116
Abstract: Paper covers research of biological processes kinetics based on a multi-species model of plankton and fish interaction of the Azov Sea at low and high size considering the Verhulst and Allee effects, competition for resources, taxis, catching, spatial distribution of biogenic matter and detritus. Discrete analogue of developed model problem of water ecology, included in a software complex, were calculated using schemes of increased order of accuracy considering the partial filling of computational cells. The system of grid equations of large dimension, arising at discretization, has been solved on the basis of a two-layer variational type method – the minimum corrections method having the maximum convergence rate. Effective parallel algorithms were developed for numerical implementation of biological kinetics problem and oriented on multiprocessor computer system and NVIDIA Tesla K80 graphics accelerator with the data storage format modification of. Due to it, the reproduction processes of biogeocenose populations have been analysed in real and accelerated time.
URI: http://repo.ssau.ru/jspui/handle/123456789/12861
ISBN: 978-5-7883-1513-3
Appears in Collections:Информационные технологии и нанотехнологии

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