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 |
Checkout Status |
NTIS |
PB85-160364 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
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.) |