Abstract
This paper presents the simulation results of meteorological and air quality parameters for the Siberian city of Tomsk predicted by mesoscale meteorological and chemical transport models. Changes in the numerically predicted wind velocity fields, temperature, and concentration of major air pollutants were modelled in detail for the selected dates, when anticyclonic weather with cloud free and calm wind conditions was observed in Tomsk. The simulation results have shown that stable or neutral atmospheric stratification with light wind and low ambient air temperature (−30, −20 °C) are the most unfavorable meteorological conditions leading to the near surface pollutants accumulation. The numerical calculation results were compared with observation data from the Joint Use Center (JUC) “Atmosphere” of V.E. Zuev Institute of Atmospheric Optics (IAO) and showed good agreement.
Highlights
IntroductionAn air pollution occurs as a result of both natural processes and human activity
Atmospheric air quality in cities depends on many factors in the modern world
The paper presents the results of calculations of meteorological parameters and parameters that characterize air quality in the city of Tomsk, obtained with the use of mesoscale meteorological and chemical transport models
Summary
An air pollution occurs as a result of both natural processes and human activity. 2 , ppb the night, stations showed a significant decrease in values the concentration of ozone at in BEC the first half of the day. Both a significant difference in the measured of CO concentration and. 0.1 during these models showed good agreement with the results of measurements of sulfur dioxide hours). Both models predicted similar values for ground-level ozone concentrations that were concentrations.
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