K.G. Shvarts*, Ya.A. Shvarts**, V.A. Shklyaev***, S.Yu. Balandina****, V.V. Semerikov*****
Perm State University, Perm, 614990 Russia
E-mail: *kosch@psu.ru, **jul-schwarz@psu.ru, ***shkliaev@psu.ru, ****bactericid@yandex.ru, *****vadislavsemerikov@yandex.ru
Received May 30, 2017
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Abstract
The paper describes a two-dimensional model of bioaerosol transport from a non-stationary source of admixture in the atmospheric boundary layer at the local level (the linear sizes of the studied area up to 40–50 km) taking into account the roughness and temperature and humidity inhomogeneity of the underlying surface. The development of model equations is based on the local equilibrium approach. They have been derived by averaging across the layer of the original three-dimensional equations of velocity, thermal conductivity, and air humidity, describing mesoscale atmospheric processes and pollutant transport. The possibility to create systems for local monitoring of bioaerosols on the basis of the developed model has been assessed. The necessary sources of meteorological and microbiological parameters and elements have been defined. All numerical calculations have been performed by the grid method (with the grid spacing of 200 m). The calculations have been performed for different weather conditions (in winter and summer). The numerical simulation of spores of micromycetes from a point source in the region of the Kama valley in Perm has been carried out with and without regard to their multiplication, as well as with regard to local air movements that occur due to temperature heterogeneity. During the winter period, bioaerosol is similar to a passive admixture based on its characteristics. The weak heterogeneity of the underlying surface covered with snow has little effect on air movement. In summer, the temperature heterogeneity of the underlying surface generates a local movement of the air, thereby influencing the direction of wind and increasing its velocity. This period is also characterized by micromycete multiplication, with significantly increases the maximum concentration of bioaerosols in the lower atmosphere layer.
Keywords: bioaerosols, atmospheric boundary layer, meteorological parameters, two-dimensional model, numerical solution
Figure Captions
Fig. 1. Mean value field in the temperature layer, ?C (a) and water vapor weight fraction, g/kg (b) in summer.
Fig. 2. Current function perturbations field in summer, m2/s (a) and concentration field in winter, CFU/m3 (b).
Fig. 3. Changes in aerosol concentration (Δс) caused by temperature (a) and humidity (b) heterogeneity, CFU/m3.
Fig. 4. Changes in aerosol concentration (Δс) caused by temperature and humidity heterogeneity (a) and concentration field with account of temperature and humidity (b) in summer, CFU/m3.
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For citation: Shvarts K.G., Shvarts Ya.A., Shklyaev V.A., Balandina S.Yu., Semerikov V.V. Modeling of bioaerosol transport in lower atmosphere layer with account of temperature and humidity heterogeneity. Uchenye Zapiski Kazanskogo Universiteta. Seriya Estestvennye Nauki, 2018, vol. 160, no. 1, pp. 145–161. (In Russian)

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