Case analysis of organic aerosol mass spectra by positive matrix factorization

Hagino Hiroyuki, Takada Tomonori, Kunimi Hitoshi, Sakamoto Kazuhiko

doi:10.11298/taiki1995.43.161

The highly time-resolved observation of non-refractory fine particle composition was analyzed at a subuiban site at Saitama, Japan, in the winter of December 2004-January 2005, using an Aerodyne aerosol mass spectrometer. The result showed that organics and nitrate were the dominant species during the sampling period except for the large fraction of sulfate during high wind speed periods. Positive matrix factorization (PMF) was used to identify the main organic components and their sources for the organic aerosol mass spectra and five factors were identified. The five factors could be assigned either to combustion sources (Hydrocarbon-like Organic Aerosol, HOA and Biomass Burning Organic Aerosol, BBOA) or to aerosol components such as oxygenated organic aerosol (OOA type 1, 00A type 2, and oxy-HOA). This is the first case study of a PMF analysis result to AMS organic spectral data in Japan and also the first report of the oxy-HOA component (factor). This oxygenated organic aerosol (OOA) can be separated into OOA type 1 (21 % as contribution to total organics) with small m/z and a mass spectrum similar to secondary organic aerosols in smog chamber experiment, a highly aged fraction, OOA type 2, (21 %), oxygenated signal of m/z 44 (mostly CO₂⁺) with HOA, oxy-HOA (18 %), and levoglucosan, BBOA (25 %). The results of analysis in this investigation indicated that OOA originated from secondary and aging source was higher contribution than other three factors at the measurement site and only a small contribution (16 % as HOA) of fine organic particles originated from freshly mobile emissions. The contribution of BBOA (25 %) was similar with our previous data of Ca. 31 % of total carbon calculated from levoglucosan concentration. These fractions indicated that the source contributions to organics were associated with meteorological parameter based on wind speed and particle concentration.

Case analysis of organic aerosol mass spectra by positive matrix factorization

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