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Predictive Modeling of Suffocation in Shallow Waters on a Multiprocessor Computer System

  • Aleksandr Sukhinov
  • Alla NikitinaEmail author
  • Aleksandr Chistyakov
  • Vladimir Sumbaev
  • Maksim Abramov
  • Alena Semenyakina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10421)

Abstract

The model of the algal bloom, causing suffocations in shallow waters takes into account the follows: the transport of water environment; 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.

Keywords

Multiprocessor computer system Water bloom Mathematical model Suffocation Phytoplankton Computational experiments 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Aleksandr Sukhinov
    • 1
  • Alla Nikitina
    • 1
    Email author
  • Aleksandr Chistyakov
    • 1
  • Vladimir Sumbaev
    • 1
    • 2
  • Maksim Abramov
    • 1
  • Alena Semenyakina
    • 3
  1. 1.Don State Technical UniversityRostov-on-DonRussia
  2. 2.South Federal UniversityRostov-on-DonRussia
  3. 3.Kalyaev Scientific Research Institute of Multiprocessor Computer SystemsSouthern Federal UniversityTaganrogRussia

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