Preprints
https://doi.org/10.5194/egusphere-2023-2428
https://doi.org/10.5194/egusphere-2023-2428
08 Nov 2023
 | 08 Nov 2023
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Source apportionment of particle number size distribution at the street canyon and urban background sites

Sami Daniel Harni, Minna Aurtela, Sanna Saarikoski, Jarkko Niemi, Harri Portin, Hanna Manninen, Ville Leinonen, Pasi Aalto, Phil Hopke, Tuukka Petäjä, Topi Rönkkö, and Hilkka Timonen

Abstract. Particle size is one of the key parameters of aerosol particles affecting their climate and health effects. Therefore, a better understanding of the particle size distributions from different sources is crucial. In urban environments, aerosols are produced in a large number of varying processes, and conditions. This study aims to increase the knowledge of urban aerosol sources using a novel approach to positive matrix factorization (PMF). The particle source profiles are detected in particle number size distribution data measured simultaneously at nearby a street canyon and an urban background station between February 2015 and June 2019 in Helsinki southern Finland. The data is combined into one file so that the data from both stations has the same timestamps. Then PMF finds profiles for the unified data. A total of five different aerosol sources were found. Four of them were detected at both stations: slightly aged traffic (TRA2), secondary combustion aerosol (SCA), secondary aerosol (SecA), and long-range transported aerosol (LRT). One of the sources, fresh traffic was only detected at a street canyon. The factors were identified based on available auxiliary data. This work implies that traffic-related aerosols remain important in urban environments and that aerosol sources can be detected by using only particle number size distribution data as input in the positive matrix factorization method.

Sami Daniel Harni et al.

Status: open (until 20 Dec 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Sami Daniel Harni et al.

Sami Daniel Harni et al.

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Short summary
In this study particle number size distribution data was used in a novel way in positive matrix factorization analysis to find aerosol source profiles in the area. Measurements were made in Helsinki at a street canyon and urban background sites between February 2015 and June 2019. Five different aerosol sources were identified. These sources underline the significance of traffic-related emissions in urban environments despite recent improvements in emission reduction technologies.