Danil Borisov. PhD thesis talk

The seminar featured a presentation based on the PhD thesis materials of Danil Borisov. The presentation discussed methods for predicting air quality in the Moscow region using the CHIMERE chemical transport model and machine learning technologies. The focus was on the concentrations of ozone and PM10 particles in the atmosphere, which have a significant impact on human health. The model used helps account for anthropogenic and biogenic emissions, as well as meteorological conditions, to more accurately model pollution. Special emphasis was placed on improving forecast quality using neural networks, which allows for more precise prediction of high pollution episodes. Despite the successes achieved, challenges remain in predicting complex episodes such as long-range pollution transport. The seminar highlighted the importance of integrating modern technologies to enhance environmental forecasts and protect public health.