Statistical analysis of seasonal variations in pollutant concentrations in urban atmosphere

¹ Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsk Rabochy Ave., 660037, Krasnoyarsk, Russia
² Bauman Moscow State Technical University, bldg. 5, 2-ya Baumanskaya st., 105005, Moscow, Russia
³ Moscow Timiryazev Agricultural Academy, Russian State Agrarian University, 49, Timiryazevskaya st., 127550, Moscow, Russia

^* Corresponding author: ankoz9@yandex.ru

Abstract

In the context of global climate change and urbanization, the issue of air quality is becoming increasingly relevant. Air pollution poses a threat to human health and ecosystems, highlighting the need for monitoring the concentrations of pollutants. This study examines the seasonal variations in the concentrations of harmful substances in the urban atmosphere using statistical methods. The aim of the research is to analyze time series data on concentrations of carbon monoxide (CO), nitrogen oxide (NO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), ammonia (NH3), and particulate matter (PM2.5 and PM10). Correlation and factor analysis are employed to assess the relationships between pollutants and identify underlying factors. The analysis of data collected over several years emphasizes seasonal changes, showing that pollutant concentrations are subject to significant fluctuations driven by both natural and anthropogenic factors. The results can be used to develop strategies for improving air quality and predicting the health impacts of pollution on the population. This research deepens the understanding of the dynamics of atmospheric pollution and its seasonal dependence, which is important for shaping environmental policy and management decisions.