The distributions of impurities obtained as a result of numerical modeling on the Srednyaya arm (Selenga River mouth)– Cape Golyi cross-section of Lake Baikal, Siberia, Russia, are presented. The data on the air temperature, relative humidity, atmospheric pressure, humidity, and cloudiness from the Babushkin meteorological station from 01.06.2016 to 30.06.2016 are used as the weather condition in the mathematical model. The results of simulation have shown that the impurities dissolved in water reach the bottom of the Selenga shallow basin of Lake Baikal. As the heat accumulation increases and the river waters warm up, the maximum concentrations of suspended substances tend to remain in the upper layers of the lake.
The results of numerical modeling of plankton biomass dynamics during the evolution of the spring riverine thermal bar in Kamloops Lake, British Columbia, Canada are presented. Investigation of hydrobiological processes is accomplished by using the nutrient–phytoplankton–zooplankton model of Franks et al. (1986). The mathematical model developed takes into account the diurnal variability of the heat fluxes on the surface of a body of water. The results obtained show that the variable heat flux affects the growth of phytoplankton and zooplankton in the upper layers of the lake.
The paper is devoted to the comparative analysis of the parameterization models of latent and sensible heat fluxes, longwave radiation calculated on the basis of the papers of Goudsmit G.-H. et al. (2002), Hodges B. (1998), Ji Zh.-G. (2008) with the use of atmospheric data of the meteorological station of City of Kamloops (Canada) within the period from 01.04.2001 to 10.05.2001. Numerical analysis of the distribution of spring thermal bar in Kamloops Lake was carried out with mathematical simulation methods.