Assessment of AIr Quality Based on Analytical and Empirical Method

The article is devoted to the assessment of air quality using an analytical and empirical method that allows integrating mathematical models and empirical data for a deeper understanding of atmospheric pollution processes. The study is based on the general diffusion equation describing the movement of pollutants in the atmosphere, which allows for accurate forecasts of air quality parameters. The main models based on this equation are considered, as well as empirical and semi-empirical approaches that use modern statistical methods and monitoring data to analyze the state of atmospheric air. The article describes an air quality assessment algorithm, including the process of collecting, processing and analyzing pollution data, as well as interpreting the results. Examples of the application of this approach demonstrate its effectiveness and relevance in the context of growing environmental problems. All this makes the mentioned methods indispensable tools for developing threats and recommendations for improving air quality, which is important for public health and environmental protection.