Source apportionment of atmospheric aerosol at three Central European sites using Positive Matrix Factorization

0576754 - ÚCHP 2024 ES eng C - Conference Paper (international conference)
Aurora, S. - Poulain, L. - Lhotka, Radek - Ondráček, Jakub - Pokorná, Petra - Schwarz, Jaroslav - Vodička, Petr - Ždímal, Vladimír - Herrmann, A.
Source apportionment of atmospheric aerosol at three Central European sites using Positive Matrix Factorization.
Program Book. Malaga: UNED, 2023.
[European Aerosol Conference 2023. Malaga (ES), 03.09.2023-08.09.2023]
R&D Projects: GA ČR(CZ) GC20-08304J
Grant - others:DFG(DE) 431895563
Institutional support: RVO:67985858
Keywords : source apportionment * long range transport * receptor modelling
OECD category: Meteorology and atmospheric sciences

The organic mass spectra from Melpitz were analyzed for different factors by Positive Matrix Factorization (PMF) using Source Finder (SoFi) developed by Conana-co et. al. 2013. Three profiles for BBOA (Ng et al., (2010)), HOA (Grippa et al., (2014)), and CCOA (Atabakhsh et al., (2023)) were used to constrain the a- values. External parameters including chemical species from AMS, black carbon from MAAP, PAHs, EC/OC, SOA tracers and sugars were added as external time series for comprehensive source apportionment and classification of anthropogenic sources at the three sites.
Permanent Link: https://hdl.handle.net/11104/0346175