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RESEARCH OF PHYTOPLANKTON DISTRIBUTION IN A STRATIFIED RESERVOIR

Alexander Ivanov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/3.1/s12.061View metrics

Abstract

The goal of integrated multidisciplinary research was to develop a model for estimating and forecasting the dynamics of phytoplankton depending on meteorological and hydrophysical parameters. The analysis of water samples from various horizons obtained in the Gorky reservoir from 2015 to 2018 was performed as an important part of the research. Samples were examined for the presence of algae using a Levenhuk microscope equipped with a digital camera and connected to a computer. The results of the identification of algae and the measurement of their parameters were carried out using a Goryaev camera. Subsequently, samples were concentrated for counting cells and determining the volume and biomass according to the method proposed by I.G. Radchenko and colleagues. A new result is the identification of diatoms, cyanobacteria and dinophytes. Both the number of cells of the species and the concentration of biomass of the species were researched. The research was focused on the quantitative analysis of samples collected from different layers including the surface layer at a depth of 0.5 m. This layer is important for modeling of input of solar radiation, ensuring the production of chlorophyll at livable temperatures. The seasonal variability of phytoplankton concentration was studied. The vast majority of algae found are representatives of diatoms. Insufficient heating of the water column is a limiting factor for cyanobacteria that cause water blooms.

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Publication details

Title
RESEARCH OF PHYTOPLANKTON DISTRIBUTION IN A STRATIFIED RESERVOIR
Authors
Alexander Ivanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2019
Pages
473-480
SWS Citekey
Ivanov201912473480
ISSN
1314-2704
ISBN
978-619-7408-81-2
Language
en
Publication type
Conference Paper
Keywords
References12
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