DEVELOPMENT OF AN AIR QUALITY MEASUREMENT MODEL

Abstract

Due to the growing problem of the ecological state of the atmosphere, the assessment and monitoring of air quality is of particular importance. This paper describes the process of developing a mathematical model designed to measure and analyse air pollution levels based on data from pollution sensors and meteorological measurements.

The paper begins by introducing the reader to the current state of the air pollution problem and the need for scientifically sound methods for its assessment. It goes on to present the variety of existing methods for measuring various pollutants, including nitrogen oxides, ozone, carbon dioxide, dust and others, and describes how these data can be collected and systematised for further analysis.

The main part of the study is devoted to the development of a mathematical model that uses differential equations to describe the processes of pollutant propagation in the atmosphere, statistical methods to estimate the relationships, and numerical methods to optimise the model. Approaches for integrating a large amount of data from different sources into a single mathematical model are also discussed.

Further attention is focused on model validation and calibration procedures, which are critical to ensuring the accuracy of model predictions. The methodology for testing the model using real air quality data is presented, and the processes for adjusting model parameters to ensure maximum accuracy of the results are described.

The final section emphasises the importance of developing mathematical models for improving environmental monitoring systems. It is emphasised that the developed model can serve as an important tool for decision-making in the field of air protection and development of effective measures to counteract the negative impact of pollution on the environment and public health. The article also discusses aspects of further improvement and updating of the model in the light of new scientific data and changes in environmental legislation.

Keywords: mathematical modelling, air quality measurement, PM2.5, AQI, statistical analysis, numerical methods, model validation, pollution monitoring, atmospheric processes.