Complex of Models, High-Resolution Schemes and Programs for the Predictive Modeling of Suffocation in Shallow Waters
The paper covers the development and research of mathematical models of the algal bloom, causing suffocations in shallow waters on the basis of modern information technologies and computational methods, by which the accuracy of predictive modeling of the ecology situation of coastal systems is incre...
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Published in | Parallel Computational Technologies Vol. 753; pp. 169 - 185 |
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Main Authors | , , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2017
Springer International Publishing |
Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783319670348 3319670344 |
ISSN | 1865-0929 1865-0937 |
DOI | 10.1007/978-3-319-67035-5_13 |
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Abstract | The paper covers the development and research of mathematical models of the algal bloom, causing suffocations in shallow waters on the basis of modern information technologies and computational methods, by which the accuracy of predictive modeling of the ecology situation of coastal systems is increased. Developed model takes into account the follows: the water transport; microturbulent diffusion; gravitational sedimentation of pollutants and plankton; nonlinear interaction of plankton populations; biogenic, temperature and oxygen regimes; influence of salinity. The computational accuracy is significantly increased and computational time is decreased at using schemes of high order of accuracy for discretization of the model. The practical significance is the software implementation of the proposed model, the limits and prospects of it practical use are defined. Experimental software was developed based on multiprocessor computer system and intended for mathematical modeling of possible progress scenarios of shallow waters ecosystems on the example of the Azov Sea in the case of suffocation. We used decomposition methods of grid domains in parallel implementation for computationally laborious convection-diffusion problems, taking into account the architecture and parameters of multiprocessor computer system. The advantage of the developed software is also the use of hydrodynamical model including the motion equations in the three coordinate directions. |
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AbstractList | The paper covers the development and research of mathematical models of the algal bloom, causing suffocations in shallow waters on the basis of modern information technologies and computational methods, by which the accuracy of predictive modeling of the ecology situation of coastal systems is increased. Developed model takes into account the follows: the water transport; microturbulent diffusion; gravitational sedimentation of pollutants and plankton; nonlinear interaction of plankton populations; biogenic, temperature and oxygen regimes; influence of salinity. The computational accuracy is significantly increased and computational time is decreased at using schemes of high order of accuracy for discretization of the model. The practical significance is the software implementation of the proposed model, the limits and prospects of it practical use are defined. Experimental software was developed based on multiprocessor computer system and intended for mathematical modeling of possible progress scenarios of shallow waters ecosystems on the example of the Azov Sea in the case of suffocation. We used decomposition methods of grid domains in parallel implementation for computationally laborious convection-diffusion problems, taking into account the architecture and parameters of multiprocessor computer system. The advantage of the developed software is also the use of hydrodynamical model including the motion equations in the three coordinate directions. |
Author | Nikitina, Alla Isayev, Albert Chistyakov, Aleksandr Sukhinov, Aleksandr Sumbaev, Vladimir Semenyakina, Alena |
Author_xml | – sequence: 1 givenname: Aleksandr surname: Sukhinov fullname: Sukhinov, Aleksandr email: sukhinov@gmail.com organization: Don State Technical University, Rostov-on-Don, Russia – sequence: 2 givenname: Albert surname: Isayev fullname: Isayev, Albert email: alis_11111@mail.ru organization: Polytechnic Institute – Branch of Don State Technical University in Taganrog, Rostov-on-Don, Russia – sequence: 3 givenname: Alla surname: Nikitina fullname: Nikitina, Alla email: nikitina.vm@gmail.com organization: Polytechnic Institute – Branch of Don State Technical University in Taganrog, Rostov-on-Don, Russia – sequence: 4 givenname: Aleksandr surname: Chistyakov fullname: Chistyakov, Aleksandr email: cheese_05@mail.ru organization: Don State Technical University, Rostov-on-Don, Russia – sequence: 5 givenname: Vladimir surname: Sumbaev fullname: Sumbaev, Vladimir email: valdec4813@mail.ru organization: South Federal University, Rostov-on-Don, Russia – sequence: 6 givenname: Alena surname: Semenyakina fullname: Semenyakina, Alena email: j.a.s.s.y@mail.ru organization: Kalyaev Scientific Research Institute of Multiprocessor Computer Systems at Southern Federal University, Taganrog, Russia |
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Editor | Zymbler, Mikhail Sokolinsky, Leonid |
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Notes | This paper was partially supported by the task No. 2014/174 of the basic part of state task of Russian Ministry of education, the program of fundamental researches of the Presidium of RAS No. 43 Fundamental problems of mathematical modeling, and partial financial support of RFFR for projects No. 15-01-08619, No. 15-07-08626, No. 15-07-08408, No. 16-37-00129. |
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RelatedPersons | Zhou, Lizhu Filipe, Joaquim Chen, Phoebe Sivalingam, Krishna M. Barbosa, Simone Diniz Junqueira Kotenko, Igor Washio, Takashi Yuan, Junsong |
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StartPage | 169 |
SubjectTerms | Computational experiments Mathematical model Multiprocessor computer system Phytoplankton Suffocation Water bloom |
Title | Complex of Models, High-Resolution Schemes and Programs for the Predictive Modeling of Suffocation in Shallow Waters |
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