Long-term Characterization of Urban PM_(10) in Hungary

• Published in: Aerosol and Air Quality Research 2021-10, Vol.21 (10), p.1-15
• Main Authors: Zita Ferenczi, Kornélia Imre, Mónika Lakatos, Ágnes Molnár, László Bozó, Emese Homolya, András Gelencsér
• Format: Article
• Language: English
• ISSN: 1680-8584
• DOI: 10.4209/aaqr.210048

Over urban areas in Hungary, the annual average PM_(10) concentrations are not frequently higher than 40 μg m^(-3). Despite the mitigation efforts of the local governments, the annual number of exceedances of the daily limit of 50 μg m^(-3) is higher than what is outlined in EU Directive No 2008/50/EC. The goal of the present study is to assess the characteristics of the temporal (annual, seasonal, daily) variations in PM_(10) concentrations in selected Hungarian cities with large populations, where most of the exceedances have been reported. The impacts of meteorological conditions on the measured PM_(10) concentrations and their temporal variations are also evaluated. An important aspect of studying the trends of air pollution is that the tendencies depend not only on the emissions of certain pollutants but also on the meteorological conditions in the area of interest. To analyse emission-related trends, the meteorological signal must be removed from the data series. In this study, the Kolmogorov-Zurbenko (KZ) filter was used for this type of trend separation. Moreover, multiple nonlinear regression analysis was used to find relationships between the PM_(10) concentration and several meteorological parameters. The goal of this analysis is to estimate the expected daily mean PM_(10) concentration values. The results of this analysis demonstrate that the regression equation can provide an adequate method for PM pollution forecasting. In addition to the hourly PM_(10) concentrations and basic meteorological data, global radiation and boundary layer height were considered in the characterization process.