Assessing Surface Water Quality Based on Indicator Zoobenthos Species

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 occu...

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Bibliographic Details
Published inWater resources Vol. 31; no. 3; pp. 323 - 332
Main Authors Shitikov, V. K., Zinchenko, T. D., Golovatyuk, L. V.
Format Journal Article
LanguageEnglish
Published New York Springer Nature B.V 01.05.2004
Subjects
Aquatic animals
Comparative analysis
Pattern recognition
Surface water
Water quality
Zoobenthos
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Summary: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.[PUBLICATION ABSTRACT]
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0097-8078
1608-344X
DOI:10.1023/B:WARE.0000028703.39641.a0