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 inParallel Computational Technologies Vol. 753; pp. 169 - 185
Main Authors Sukhinov, Aleksandr, Isayev, Albert, Nikitina, Alla, Chistyakov, Aleksandr, Sumbaev, Vladimir, Semenyakina, Alena
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Online AccessGet full text
ISBN9783319670348
3319670344
ISSN1865-0929
1865-0937
DOI10.1007/978-3-319-67035-5_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.
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
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  organization: South Federal University, Rostov-on-Don, Russia
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  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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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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PublicationSeriesTitle Communications in Computer and Information Science
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PublicationSubtitle 11th International Conference, PCT 2017, Kazan, Russia, April 3-7, 2017, Revised Selected Papers
PublicationTitle Parallel Computational Technologies
PublicationYear 2017
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Snippet The paper covers the development and research of mathematical models of the algal bloom, causing suffocations in shallow waters on the basis of modern...
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proquest
SourceType Publisher
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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