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Title: ANALYSIS OF THE INFLUENCE OF ABIOTIC FACTORS ON THE FUNCTIONAL ACTIVITY OF PLANKTON COMMUNITIES OF THE KRASNOYARSK RESERVOIR
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ANALYSIS OF THE INFLUENCE OF ABIOTIC FACTORS ON THE FUNCTIONAL ACTIVITY OF PLANKTON COMMUNITIES OF THE KRASNOYARSK RESERVOIR
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1314-2704
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English
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18
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3.1
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The main task of complex environmental monitoring is evaluating the state of an aquatic system and state prediction of ecosystem links under different levels of water supply, anthropogenic influence and climatic fluctuations. The paper analyzes the inter-annual dynamics of functional activity of bacterio ? and phytoplankton of the Krasnoyarsk reservoir depending on abiotic factors (reservoir filling level and temperature conditions). The data have been obtained from series of regular observations during the growing season in the 2000 ? 2017. In the work, distribution of concentration of chlorophyll "a" and photosynthetic activity of the phytoplankton, production characteristics of bacterioplankton and biochemical oxygen demand (BOD5) are presented. The analysis is carried out in the model-driven system of support of hydrobiological studies of the Krasnoyarsk reservoir by the method of k-means. Systematization of accumulated data of scientific research has become a basis for a sequence of long-term investigations, a comparative analysis of data from related studies and data analysis.
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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47-54
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02-08 July, 2018
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website
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cdrom
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842
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chlorophyll "a"; photosynthetic activity of the phytoplankton; bacterioplankton; biochemical oxygen demand; model-driven system; reservoir; the method of k-means
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