@ARTICLE{Starzomska_Aleksandra_A_2024,
 author={Starzomska, Aleksandra and Strużewska, Joanna},
 volume={50},
 number={2},
 pages={75-84},
 pages={75-84},
 journal={Archives of Environmental Protection},
 howpublished={online},
 year={2024},
 publisher={Polish Academy of Sciences},
 abstract={This study used PM10 and PM2.5 measurements from the State Environmental Monitoring stations in Warsaw and its suburban areas. Analysis of variability characteristics at the traffic and urban background stations was carried out for 2016-2021. A six-year analysis (2016-2021) of air quality in Warsaw, Poland, focusing highlights the persistent impact of transportation on particulate matter concentrations. Comparing a city centre traffic station with urban background locations reveals consistently higher PM10 concentrations at the traffic station throughout the year, with an annual traffic-related increase of 12.6 μg/m³ (32%). PM2.5 concentrations at the traffic station are also consistently about 1.5 μg/m³ (7%) higher. For monthly averages, the highest PM10 concentrations at the traffic station were noted in March, which may be related to the resuspention of sand and salt left over from winter snow removalp rocesses. In the case of PM2.5, the typical annual cycle with maximum concentrations in winter and minimum concentrations in summer was not observed. Diurnal variability patterns show elevated PM10 concentrations at the traffic station from 8:00 a.m. to 10:00 p.m., attributed to the resuspension process. PM2.5 patterns exhibit a smaller amplitude at the traffic station, with nighttime accumulation due to inflow. This study emphasizes the lasting impact of transportation on air quality, providing insights into pollution control strategies in urban areas.},
 type={Article},
 title={A six-year measurement-based analysis of traffic-related particulate matter pollution in urban areas: the case of Warsaw, Poland (2016-2021)},
 URL={http://czasopisma.pan.pl/Content/131291/PDF-MASTER/AEP_50_2_pp75_84.pdf},
 doi={10.24425/aep.2024.150554},
 keywords={PM2.5;, pollution;, PM10;, traffic;, air;, transport;},
}