Advertisement

Physical Oceanography

, Volume 9, Issue 1, pp 41–54 | Cite as

Modelling of the Sea of Azov ecosystem

  • I. E. Timchenko
  • V. D. Yarin
  • E. F. Vasechkina
  • E. M. Igumnova
Analysis of Observations and Methods of Calculating Oceanic Hydrophysical Fields

Abstract

The method of mathematical model self-organization is applied to handle observations of the hydrological, chemical and biological parameters of the Sea of Azov, conducted from 1926 through to 1985, in order to identify model equations of the latter's ecosystem. A set of 43 evolutionary equations have been employed to generate a picture of the ecosystem parameters' continuous variability and to identify relationships between them. Model calculations of the total catch of freshwater fishes, primary productivity, zoobenthos, phytoplankton, and other characteristics have demonstrated their being in good agreement with the observations conducted from 1950 to 1985. A prediction of the ecosystem parameters' evolution for the period from 1985 to 1995 has been made.

Keywords

Phytoplankton Wind Speed Model Reservoir Total Catch Riverine Discharge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Belyaev, V. I. and Konduforova, N. V.Mathematical Modelling of Shelf Ecological Systems. Kiev: Naukova Dumka (1990).Google Scholar
  2. 2.
    Vorovich, I. I., Gorstko, A. B. and Dombrovsky, Yu. A. General characteristics and description of the simulation model of the Sea of Azov.Rep. USSR Acad. Sci. (1981)256, 1052–1056.Google Scholar
  3. 3.
    Belyaev V. I. (Ed.).Modelling of the Geochemical Processes Occurring in Marine Near-Shore Ecoton. Kiev: Naukova Dumka (1993).Google Scholar
  4. 4.
    Nihoul, J. C. J. (Ed.),Modelling of Marine Systems. Elsevier Ocean Series (1975) 10.Google Scholar
  5. 5.
    Brofman, A. M., Dubinina, V. G. and Makarova, G. D.Hydrological and Chemical Base of the Sea of Azov Productivity. Moscow: Pishchevaya Promyshlennost (1979).Google Scholar
  6. 6.
    Hydrometeorology and Chemistry of the USSR Seas. Sea of Azov, Vol. 5. St. Petersburg: Gidrometeoizdat (1991).Google Scholar
  7. 7.
    Vasechkina, E. F., Timchenko, I. E. and Yarin, V. D. A method for the statistical prediction of hydrological and chemical fields, exemplified by computation of the oxygen content in the Sea of Azov surface layer.Phys. Oceanogr. (1996)7, 167–176.CrossRefGoogle Scholar
  8. 8.
    Ivakhnenko, A. G. and Muller, I. A.Self-Organization of Prognostic Models. Kiev: Tekhnika (1985).Google Scholar
  9. 9.
    Hasselman, K. Stochastic climate models.Tellus (1976)28, 437–485.CrossRefGoogle Scholar

Copyright information

© VSP 1998

Authors and Affiliations

  • I. E. Timchenko
  • V. D. Yarin
  • E. F. Vasechkina
  • E. M. Igumnova

There are no affiliations available

Personalised recommendations