Assessment of atmospheric air quality considering the stochastic nature of pollutant concentrations
Abstract
Purpose. Analysis of the state of atmospheric air, determination of the main factors of pollution formation and substantiation of the methodology for assessing guaranteed air quality, taking into account the random nature of pollutant concentrations.
Methods. Statistical and calculation of the integrated atmospheric pollution index (API).
Results. The research was conducted based on data from the Eco-City public monitoring station No. 1162 in the area of the Faculty of Chemistry of Uzhhorod National University, taking into account the climatic and orographic features of the territory. It was established that the main source of atmospheric air pollution is motor vehicles. A pronounced seasonality of changes in pollutant concentrations was revealed. Formaldehyde was determined to be the main factor in exceeding the air pollution indices, while the KIZA values often corresponded to the level of “very high” pollution. The most critical indicators were recorded: for formaldehyde – throughout the year with maximum values in January and July; for fine dust PM2.5 and PM10 – in the winter period due to the influence of the heating season and unfavorable dispersion conditions; for nitrogen dioxide – in April, which is associated with transport load. The assessment of atmospheric air quality showed a systematic exceedance of the standards for formaldehyde throughout the year.
Conclusions. The results of the study indicate a tense environmental state of the atmospheric air in the study area and the need to strengthen control over pollutant emissions. Priority measures include optimizing transport flows, reducing emissions during the heating season, and improving local atmospheric air monitoring systems, especially regarding the control of formaldehyde sources.
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