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RECORD NUMBER: 16 OF 21

OLS Field Name OLS Field Data
Main Title Simulation Modeling as a Means of Studying Large Aquatic Ecosystems.
Author Gorstko, A. B. ; Dombrovsky, Y. A. ; Matveyev, A. A. ; Paul, J. F. ; Richardson, W. L. ;
CORP Author Environmental Research Lab., Narragansett, RI. ;Rostov-on-Don State Univ. (USSR). Inst. of Mechanics and Applied Mathematics. ;Hydrochemical Inst., Rostov-on-Don (USSR).
Year Published 1984
Report Number ERLN-680 ;EPA/600/J-84/220;
Stock Number PB85-160364
Additional Subjects Ecology ; Marine biology ; Aquatic biology ; Water pollution ; Mathematical models ; Sea of Azov ; Lake Baikal ; Populations ; Harvesting ; Fishes ; Recommendations ; Phytoplankton ; Oxygen ; Hydrodynamics ; Ocean currents ; Salinity ; Temperature ; Wind(Meteorology) ; Reprints ; Omul ; Ecosystems
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB85-160364 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/21/1988
Collation 7p
Abstract
The concept of simulation modeling of large aquatic ecosystems is discussed with special reference to a conceptual framework incorporating a series of sub-models. Practical applications of this technique are made to the Sea of Azov and Lake Baikal. One such application was the use of simulation techniques to predict the stock of omul populations in Lake Baikal. The results of this effort suggested that recommendations to increase omul harvest could be made. (Copyright (c) Internat. Assoc. Great Lakes Res., 1984.)