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Hydrobiological Journal
SJR: 0.227 SNIP: 0.575 CiteScore™: 0.24

ISSN Print: 0018-8166
ISSN Online: 1943-5991

Hydrobiological Journal

DOI: 10.1615/HydrobJ.v34.i2-3.240
pages 219-225

Information Expert System for Assessment and Prognosis of the Water Quality and State of Natural Freshwater Ecosystems

V. I. Lavryk
Kyiv-Mogyla National University Kyiv, Ukraine


The structure of a computer-based information expert system for the automated complex analysis and prognosis of water quality and state of ecosystems is described. The system consists of a database, a bank of formalized criteria for the interpretation of hydroecological parameters, and a bank of models for mathematical simulation.