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Assessing Surface Water Quality Based on Indicator Zoobenthos Species
Authors:Shitikov  V K  Zinchenko  T D  Golovatyuk  L V
Institution:(1) Institute of Ecology of the Volga Basin, Russian Academy of Sciences, ul. Komzina 10, Tolyatti, 445003, Russia
Abstract:Mathematical aspects of predicting water quality class based on data of hydrobiological analysis with the use of pattern recognition are considered. A series of calculations of indicator valences of zoobenthos was performed using saprobic analysis by the M. Zelinka–P. Marvan method based on the occurrence of aquatic animals in different types of water bodies. Models using nonlinear optimization methods for the recognition of water quality classes by zoobenthos are proposed. Detailed comparative analysis is made for the results obtained from the observational data on small rivers in the Samara region.
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