Assessment of the Impact of Meteorological Parameters on AIr Quality in Industrial Cities of Kazakhstan Using Modern Atmospheric Analysis and Modeling Systems

This paper examines the influence of meteorological parameters on air pollution levels in two industrial cities of Kazakhstan – Ust-Kamenogorsk and Pavlodar. The analysis is based on air quality monitoring data from both automatic and manual observation stations, as well as GDAS1 meteorological records for 2024. Data analysis was performed using RStudio and the OpenAir package. Correlation analysis revealed statistically significant relationships between meteorological conditions (temperature, humidity, wind speed) and concentrations of various pollutants, such as SO2, CO, NO, O3. Particular attention is paid to seasonal variations and photochemical processes affecting the formation of ozone and secondary pollutants. The backward trajectory method (SplitR) was applied to determine potential pollutant source directions, highlighting the contribution of both local and transboundary emissions. Cluster analysis of air mass trajectories confirmed the complex and multidirectional nature of atmospheric circulation.