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Source: Journal of Great Lakes research. 2019. Vol. 45, № 4. P. 715-725
Type: статьи в журналах
Date: 2019
Description:
The article presents numerical simulation of the autumnal thermal bar dynamics on the example of the Selenga River shallow water in Lake Baikal. Hydrophysical and atmospheric conditions of the object
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Source: Journal of marine systems. 2019. Vol. 195. P. 38-49
Type: статьи в журналах
Date: 2019
Description:
Phytoplankton growth in Lake Baikal was simulated during thermal bar events using meteorological data from June 1–30, 2017. Dynamics of the thermal bar and the plankton population were reproduced by t
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Source: Inland waters. 2018. Vol. 8, № 3. P. 322-328
Type: статьи в журналах
Date: 2018
Description:
We numerically reproduced the spring riverine thermal bar in the area of the Selenga inflow into Lake Baikal using the nonhydrostatic 2.5D mathematical model. Our model took into account the diurnal v
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Source: Ocean modelling. 2016. Vol. 104. P. 73-83
Type: статьи в журналах
Date: 2016
Description:
The spring riverine thermal bar phenomenon is investigated numerically on an example of Lake Baikal, and the spread of pollutants coming from the Selenga River is forecast using the 2.5 D non-hydrosta
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Source: Procedia computer science. 2015. Vol. 51. P. 2658-2662
Type: статьи в журналах
Date: 2015
Description:
In this paper, the phenomenon of the thermal bar in Lake Baikal and the propagation of pollutants from the Selenga River are studied with a nonhydrostatic mathematical model. An unsteady flow is simul
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