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One-year ACSM Source Apportionment Analysis at the Central European Research Station Melpitz
SAMIRA ATABAKHSH, Laurent Poulain, Gang Chen, André S. H. Prévôt, Alfred Wiedensohler, Hartmut Herrmann, Leibniz Institute for Tropospheric Research
Abstract Number: 614
Working Group: Source Apportionment
Abstract
Atmospheric aerosol negatively affects human health and also has important climate impacts. Since organic aerosol (OA) represents the largest fraction of the aerosol and comprise huge variety of compounds, the molecular identification of OA constituents, their impact on physico-chemical properties as well as the corresponding source identifications remain challenging. Although source apportionment as a common approach for the OA source identification was is much applied in field campaigns using Aerosol Mass Spectrometer (AMS), a strong need for source apportionment analysis covering longer time series data, as well as several seasons or years exists.
In this study, a one-year time series data set (Sep 2016-Aug 2017) of an Aerosol Chemical Speciation Monitor (ACSM) operated at the TROPOS research station Melpitz (51.54° N, 12.93° E, 86 m a.s.l., Germany) was analysed using the SoFi Pro software (Datalystica Ltd., Villigen, Switzerland). The recently developed ‘rolling windows mechanism’ was applied to properly capture the temporal variability of the source finger-print (here their mass spectra). The results show that OA dominates the total mass concentration with a clear seasonal variability (39% in winter to 59% in summer). Five factors were identified as having a distinct temporal variability and mass spectral signature. Three of them were associated with primary organic sources: hydrocarbon-like OA (HOA), biomass burning OA (BBOA) and coal combustion OA (CCOA), and two oxygenated OA (more-oxidized OOA (MO-OOA) and less-oxidized OOA (LO-OOA)).
The present work aims to investigate the seasonal variability of the identified organic factors, the time series, and the diurnal cycle of mass concentrations for each factor over all time periods. Moreover, factors influencing the mass concentration of the different OA sources will also be discussed.