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This article is cited in 2 scientific papers (total in 2 papers)
ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS
Searching for connections between biological and physico-chemical characteristics of Rybinsk reservoir ecosystem. Part 2. Determination analysis
D. V. Risnika, A. P. Levicha, N. G. Bulgakova, E. S. Bikbulatovb, E. M. Bikbulatovab, Yu. V. Ershovb, I. V. Konyuhova, L. G. Kornevab, V. I. Lazarevab, A. S. Litvinovb, V. N. Maksimova, S. V. Mamikhinc, V. A. Osipova, N. G. Otyukovab, S. A. Poddubniib, I. L. Pirinab, E. A. Sokolovab, I. E. Stepanovab, P. V. Fursovaa, O. L. Cel'movichb a Moscow State University, Faculty of Biology, MSU, 1-12 Leninskiye Gory, Moscow, 119991, Russia
b I.D. Papanin Institute for biology of inland waters Russian Academy of Sciences, IBIW RAS, Borok, Nekouzskii District, Yaroslavskii region, 152742, Russia
c Moscow State University, Faculty of Soil Science, MSU, 1-12 Leninskiye Gory, Moscow, 119991, Russia
Abstract:
Based on contents of phytoplankton pigments, fluorescence samples and some physico-chemical characteristics of the Rybinsk reservoir waters, searching for connections between biological and physical-chemical characteristics is working out. The methods of describing of connections between qualitative classes of characteristics, based on forecast of quality values of one characteristics by quality values of another one, are studied. The borders of quality classes of studied characteristics are found.
Keywords:
fluorescence, phytoplankton, pigments, chlorophyll, Wallis coefficient, Guttman coefficient, Chesnokov coefficient, searching for connection, Rybinsk reservoir.
Received: 20.06.2012 Revised: 04.09.2012
Citation:
D. V. Risnik, A. P. Levich, N. G. Bulgakov, E. S. Bikbulatov, E. M. Bikbulatova, Yu. V. Ershov, I. V. Konyuhov, L. G. Korneva, V. I. Lazareva, A. S. Litvinov, V. N. Maksimov, S. V. Mamikhin, V. A. Osipov, N. G. Otyukova, S. A. Poddubnii, I. L. Pirina, E. A. Sokolova, I. E. Stepanova, P. V. Fursova, O. L. Cel'movich, “Searching for connections between biological and physico-chemical characteristics of Rybinsk reservoir ecosystem. Part 2. Determination analysis”, Computer Research and Modeling, 5:2 (2013), 271–292
Linking options:
https://www.mathnet.ru/eng/crm398 https://www.mathnet.ru/eng/crm/v5/i2/p271
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