Annual and periodic variations of particulates and selected gaseous pollutants in Astana, Kazakhstan: Source identification via conditional bivariate probability function

Akmaral Agibayeva, Ferhat Karaca, Mert Guney, Torekhan Bex, Egemen Avcu
2023 · doi:10.21203/rs.3.rs-2999684/v1
preprint OA: closed CC-BY-4.0
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Abstract

Abstract The degradation of air quality remains one of the most pressing environmental issues as exposure to air pollutants is extensively associated with various health problems including respiratory and cardiovascular diseases. The present study aims to (1) reveal the annual and periodic variations of PM2.5, total suspended particles (TSP), and selected gaseous pollutants (SO2, CO, NO2, HF) in Astana, Kazakhstan by analyzing two-year air pollution monitoring data (October 2018-September 2020) divided into 2 study cycles (October 2018-September 2019 and October 2019-September 2020, respectively); and to (2) identify potential air pollution sources in the region using conditional bivariate probability function (CBPF). Annual concentrations of PM2.5 and other gaseous pollutants were generally high, exceeding World Health Organization air quality guidelines and nationally adopted air quality standards; with heating periods (October - April) characterized, on average, by higher ambient concentrations than non-heating periods. Notably, the concentrations of observed pollutants were higher during the 2018-2019 study cycle than in 2019-2020. Obtained results are useful for subsequent estimation of the burden of respiratory and cardiovascular diseases in the region. The CBPF analysis of PM2.5 data suggested a general contribution of the coal-fired power plants as well as residential heating activities to the air pollution in the city, while a joint contribution of vehicular emissions and power plant activity was identified as the pollution source of SO2. Control measures for PM2.5 and SO2 emissions specifically arising from the coal-fired power plants need to be urgently implemented.

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License: CC-BY-4.0