Section: Methodology and research methods. Models and forecasts
Air monitoring in large cities is a crucial task aimed at protecting public health and supporting the sustainable development of urban areas. High population density, intense traffic, and significant industrial activity in cities contribute to high levels of air pollution, leading to serious consequences for human health and the environment. This paper analyzes the experience of using monitoring network data generated by continuous sensors for monitoring suspended particles PM2.5 and PM10 and assesses the potential of using this data as a predictive action tool in the work of accredited laboratories of regulatory and supervisory authorities. Special attention is paid to the development of mathematical models describing aerosol systems dispersion processes in different hydrometeorological conditions. The application of these models makes it possible to predict changes in pollutant concentrations, forming a basis for preventive measures and reducing the risk of exposure to vulnerable population groups. The proposed approach allows regulatory authorities to promptly respond to the excess of standards, identify potential sources of pollution, and develop management solutions to improve the environmental situation. The proposed methodologies and analytical tools could serve as a basis for developing interactive maps of the environmental status. Public access to the above maps will enhance public trust in environmental control measures and encouraging citizen participation in efforts to improve environmental quality. These developments could also facilitate real-time monitoring of background pollutant levels, helping enterprises adjust their operations and plan production processes with environmental factors in mind, thereby reducing anthropogenic pressure on cities and surrounding areas. The research results were tested in Tolyatti and are used by a mobile environmental laboratory capable of analyzing atmospheric air across more than 50 parameters and accredited within the national accreditation system.
ISSN 1995-4301
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