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PresentationsThe spatial-temporal aspect for the aquatic ecosystem modeling (on the example of the Novosibirsk reservoir)Institute for Water and Environmental Problems, SB RAS, 656038, Barnaul, Molodezhnaya str., 1, +7952-002-73-53, tskhai@iwep.ru The object of the study is the ecosystem of the largest in Western Siberia — the Novosibirsk reservoir. The purpose of the work is to study the mechanisms of formation of water quality flowing in different parts of the reservoir in different ways. It is generally believed that relatively small and low-flow areas of reservoirs are more susceptible to eutrophication. In such places, the water warms up better and the biomass of phytoplankton is much higher. In the central part of the reservoir, the depth at the left bank is much less than at the right bank, through which the main part of the channel flow from the Ob River passes towards the dam. However, according to long-term observations in summer, the biomass of phytoplankton on the right bank is several times higher than on the left bank. Another effect is as violation to the usual vision. Usually, during the period of open water, the biomass of phytoplankton in the surface layer of water is significantly higher than at depth, where solar radiation penetrates worse. However, in the studied period, in August 1981, the opposite relation was observed: phytoplankton biomass at depth significantly exceeded this indicator in the surface layer. In order to understand the reasons for these facts, a comparative assessment of the mechanisms of in-water processes was carried out by applying methods of 3d-modeling and reproduction of cycles of transformation of biogenic elements [1]. The study was carried out within the framework of the scientific program of the Institute of Water and Environmental Problems SB RAS with the support of the Russian Foundation for Basic Research, grant No. 18-41-220002. References. 1. Tskhai, A.A., Ageikov, V.Yu. Spatiotemporal Model of the Ecosystem of the Novosibirsk Reservoir // Geography and Natural Resources. Vol. 43, Suppl. 1, 2022. P. S85–S91. https://doi.org/10.1134/S1875372822050171.
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