Numerical Simulation of Meteorological Conditions and Air Quality above Tomsk, West Siberia

• Main Authors: Alexander Starchenko, Elena Shelmina, Lubov Kizhner
• Format: Article
• Language: English
• Published: MDPI AG 2020-10-01
• Series: Atmosphere
• Subjects: mathematical modeling; air pollution; cold winter; numerical prediction of air quality
• Online Access: https://www.mdpi.com/2073-4433/11/11/1148

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.