Numerical Modelling of PM10 Propagation in Rustavi City Atmosphere During the Southern Background Wind

Numerical Modelling of PM10 Propagation in Rustavi City Atmosphere During the Southern Background Wind

Authors

DOI:

https://doi.org/10.52340/ggj.2023.03.02.04

Keywords:

atmosphere, pollution, microaerosols, concentration, monitoring

Abstract

According to observations, experimental measurements, and numerical modelling, the atmospheric pollution caused by microaerosols PM2.5 and PM10 in Rustavi city, one of Georgia's industrial centres, has been estimated. Analysed were the fluctuations in concentration of pollutants in the urban atmosphere on a monthly, daily, and hourly basis. The particle concentrations in the atmosphere of Rustavi City reach their highest levels at any hour of the day due to the combined influence of motor vehicle traffic and industrial facilities. The distribution of PM10 particles in the atmosphere has been determined using numerical modelling for scenarios involving background light air, a mild breeze, and a fresh breeze. Calculations demonstrated that light air and mild breeze cause a rise in the concentration of microaerosols in the urban atmosphere, but fresh breeze facilitates the dissipation of the pollution cloud, albeit expanding its distribution area.

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Author Biographies

Natia Gigauri, Georgian Technical University

Department of environmental pollution monitoring and forecasting / Institute of Hydrometeorology

Aleksandre Surmava, Georgian Technical University

Department of environmental pollution monitoring and forecasting / Institute of Hydrometeorology, GTU, Tbilisi, Georgia

Department of Modeling the Sea and Atmosphere Dynamics / M. Nodia Institute of Geophysics, TSU, Tbilisi, Georgia

Liana Intskirveli, Georgian Technical University

Department of environmental pollution monitoring and forecasting / Institute of Hydrometeorology

Corresponding author

Mikheil Pipia, Georgian Technical University

Department of environmental pollution monitoring and forecasting / Institute of Hydrometeorology, GTU, Tbilisi, Georgia

Department of Modeling the Sea and Atmosphere Dynamics / M. Nodia Institute of Geophysics, TSU, Tbilisi, Georgia

References

World Health Organization, WHO’s Agenda on Air Pollution and Health. www.who.int/airpollution/en/)

https://mepa.gov.ge/Ge/PublicInformation/27987

Aleksandre A Surmava, Leila V Gverdsiteli, Liana N Intskirveli, Natia G Gigauri. Numerical simulation of dust distribution in city tbilisi territory in the winter period, Journal of the Georgian Geophysical Society, v. 24(1), 2021, pp. 37-43

N. Gigauri, V. Kukhalashvili, A. Surmava, L. Intskirveli, M. Pipia. Spatial distribution of PM10 and PM2.5 concentrations in Tbilisi city atmosphere according to routine observations and en-route measurement data, Collected works of the Institute of Hydrometeorology at the Georgian Technical University, vol. 131, 2021, pp. 44-50.

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Published

2023-12-08

How to Cite

Gigauri, N., Surmava, A., Intskirveli, L., & Pipia, M. (2023). Numerical Modelling of PM10 Propagation in Rustavi City Atmosphere During the Southern Background Wind. Georgian Geographical Journal, 3(2). https://doi.org/10.52340/ggj.2023.03.02.04

Issue

Vol. 3 No. 2 (2023): Articles

Section

Articles

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Copyright (c) 2023 Georgian Geographical Journal

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


This work is licensed under a CC BY Attribution

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