Abstract
The article presents a numerical modeling study of the dynamics of pollutant particles in the atmosphere of Ust-Kamenogorsk, with a focus on PM2.5 emissions from the Ust-Kamenogorsk Metallurgical Plant (UKMP). The modeling employs advanced techniques that account for meteorological conditions, topographical features, and anthropogenic pollution sources. Special attention is given to estimating PM2.5 concentrations across different seasons and analyzing their impact on air quality and public health. The modeling results aid in identifying key pollution hotspots and evaluating the effectiveness of emission reduction measures. Comparison with data from other months reveals seasonal variations in PM2.5 levels, enabling more accurate forecasts of pollutant impacts depending on the time of year.