Abstract
The convection–diffusion transport equation (K-theory) is widely used as a mathematical basis for modeling the dispersion of pollutants in the atmospheric air. One important parameter of this model is the vertical component of the turbulent diffusion coefficient, which describes the vertical transport of fine particles. Existing models of vertical diffusion are developed for short observation periods, during which the state of the atmosphere can be considered stationary. The effect of small concentrations of fine particles on the human body is manifested during prolonged exposure. For this reason, modeling of dispersion curves averaged over long time intervals is of primary interest. This article presents the results of estimates of vertical diffusion coefficients for observation periods of 2, 8, and 11 months. The results are obtained using a semiempirical method based on a regression analysis of the measured horizontal profiles of the level of pollution of the surface layer of the atmosphere by emissions of large enterprises: a thermal power plant and an aluminum plant. The method of active biomonitoring at the height of 1–2 m is used to measure the profiles. The results are analyzed depending on the average wind speed and the degree of heterogeneity of the surface of the investigated territories.
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REFERENCES
W. Hofmann, “Modelling inhaled particle deposition in the human lung: A review,” J. Aerosol Sci. 42 (10), 693–724 (2011).
P. Luo, L.-J. Bao, Y. Guo, et al., “Size-dependent atmospheric deposition and inhalation exposure of particle-bound organophosphate flame retardants,” J. Hazard. Mater. 301, 504–511 (2016).
R. Sturm, “Modeling the deposition of bioaerosols with variable size and shape in the human respiratory tract: A review,” J. Adv. Res. 3 (4), 295–304 (2012).
P. B. Tchounwou, C. G. Yedjou, A. K. Patlolla, and D. J. Sutton, “Heavy Metal Toxicity and the Environment,” in Molecular, Clinical and Environmental Toxicology (2012), pp. 133–164.
World Health Organization. Review of Evidence on Health Aspects of Air Pollution–REVIHAAP Project Technical Report (World Health Organization, 2013).
I. V. Mudryi and T. K. Korolenko, Heavy Metals in the Environment and Their Effect on the Human Body (Vrachebnoe Delo, 2002), pp. 32–37 [in Russian].
A. Mandel, et al., “Setting threshold values of particle sizes for determination of the appropriate dispersion/deposition model during various atmospheric stability conditions,” Atmos. Environ. 105, 181–190 (2015).
M. Viana, I. Rivas, X. Querol, et al., “Partitioning of trace elements and metals between quasi-ultrafine, accumulation and coarse aerosols in indoor and outdoor air in schools,” Atmos. Environ. 106, 392–401(2015).
M. Chamecki, “An analytical model for dispersion of biological particles emitted from area sources: inclusion of dispersion in the crosswind direction,” Agric. For. Meteorol. 157, 30–38 (2012).
Y. Zhang, R. Hu, and X. Zheng, “Large-scale coherent structures of suspended dust concentration in the neutral atmospheric surface layer: A large-eddy simulation study,” Phys. Fluids 30 (4), 046601 (2018).
D. M. Moreira, A. C. Moraes, A. G. Goulard, et al., “A contribution to solve the atmospheric diffusion equation with eddy diffusivity depending on source distance,” Atmos. Environ. 83, 254–259 (2014).
M. E. Berlyand, Prediction and Regulation of Air Pollution (Gidrometeoizdat, Leningrad, 1985) [in Russian].
D. L. Laikhtman, Physics of Atmospheric Boundary Layer (Gidrometeoizdat, Leningrad,1970) [in Russian].
G. N. Panin and Ch. Bernhofer, “Parametrization of turbulent fluxes over inhomogeneous landscapes,” Izv., Atmos. Ocean. Phys. 44 (6) 701–716 (2008).
N. K. Ryzhakova, A. L. Borisenko, and V. O. Babicheva, “Use of moss biomonitors for turbulent transport coefficient estimation for industrial emissions,” Atmos. Pollut. Res. 8 (5), 997–1004 (2017).
M. Dlugosz-Lisiecka and J. Wróbel, “Use of moss and lichen species to identify 210Po-contaminated regions,” Environ. Sci.: Processes Impacts 16 (12), 2729–2733. (2014).
O. Motyka, I. Pavlíková, J. Bitta, et al., “Moss biomonitoring and air pollution modelling on a regional scale: Delayed reflection of industrial pollution in moss in a heavily polluted region?,” Environ. Sci. Pollut. Res. 27 (26), 569–578 (2020).
M. Aničić Urošević, G. Vuković, P. Jovanović, et al., “Urban background of air pollution: Evaluation through moss bag biomonitoring of trace elements in botanical garden,” Urban For. Urban Greening 25, 10–19 (2017).
G. Gecheva, “Atmospheric pollution assessment with mosses in Bulgaria,” J. BioSci. Biotechnol. 5 (2), 125–128 (2016).
X. Zhou, Q. Chen, C. Liu, et al., “Using moss to assess airborne heavy metal pollution in Taizhou, China,” Int. J. Environ. Res. Public Health 14 (4), 430 (2017).
N. Bajraktari, I. Morina, and S. Demaku, “Assessing the presence of heavy metals in the area of Glloogoc (Kosovo) by using mosses as a bioindicator for heavy metals,” J. Ecol. Eng. 20 (6), 135–140 (2019).
B. Godzik, “Use of bioindication methods in national, regional and local monitoring in Poland—Changes in the air pollution level over several decades,” Atmosphere 11 (2), 143 (2020).
L. Barandovski, T. Stafilov, R. Šajn, et al., “Atmospheric heavy metal deposition in North Macedonia from 2002 to 2010 studied by moss biomonitoring technique,” Atmosphere 11 (9), 929 (2020).
P. Kapusta and B. Godzik, “Temporal and cross-regional variability in the level of air pollution in Poland: A study using moss as a bioindicator,” Atmosphere 11 (2), 157 (2020).
M. M. Derrien, Ch. Zuidema, S. Jovan, et al., “Toward environmental justice in civic science: Youth performance and experience measuring air pollution using moss as a bio-indicator in industrial-adjacent neighborhoods,” Int. J. Environ. Res. Public Health 17 (19), 72–78 (2020).
A. Svozilíková Krakovská, V. Svozilík, I. Zinicovscaia, et al., “Analysis of spatial data from moss biomonitoring in Czech–Polish border,” Atmosphere 11 (11), 1237 (2020).
T. Stafilov, L. Barandovski, R. Šajn, et al., “Atmospheric mercury deposition in Macedonia from 2002 to 2015 determined using the moss biomonitoring technique,” Atmosphere 11 (12), 1379 (2020).
C. Betsou, E. Diapouli, E. Tsakiri, et al., “First-time source apportionment analysis of deposited particulate matter from a moss biomonitoring study in Northern Greece,” Atmosphere 12 (2), 208 (2021).
P. Świslowski, Z. Ziembik, and M. Rajfur, “Air quality during New Year’s eve: A biomonitoring study with moss,” Atmosphere 12 (8), 975 (2021).
M. Paçarizi, T. Stafilov, R. Šajn, et al., “Estimation of elements' concentration in air in Kosovo through mosses as biomonitors,” Atmosphere 12 (4), 415 (2021).
N. Rogova, N. Ryzhakova, K. Gusvitskii, and V. Eruntsov, “Studying the influence of seasonal conditions and period of exposure on trace element concentrations in the moss-transplant Pylaisia polyantha,” Environ. Monit. Assess. 193 (4), 168–177 (2021).
A. L. Borisenko, N. K. Ryzhakova, and N. S. Rogova, “Mosses as indicators of urban environmental pollution: Examples of Pylaisia polyantha (Hedw.) B.S.G. from West Siberia,” in Mosses: Ecology, Life Cycle and Significance (Nova Science, 2018), pp. 27–57.
N. K. Ryzhakova, E. A. Pokrovskaya, and V. O. Babicheva, “Evaluation of the vertical turbulent diffusion coefficient of industrial emissions,” Izv., Atmos. Ocean. Phys. 51 (4), 439–443 (2015).
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Ryzhakova, N.K., Rogova, N.S., Pokrovskaya, E.A. et al. Influence of Natural and Climatic Conditions on the Values of the Vertical Turbulent Diffusion Coefficient for Long Observation Periods. Izv. Atmos. Ocean. Phys. 58, 553–559 (2022). https://doi.org/10.1134/S0001433822060147
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DOI: https://doi.org/10.1134/S0001433822060147