Journal article
Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program
Aerosol science and technology, Vol.38, pp.118-132
12/01/2004
DOI: 10.1080/02786820390229589
Abstract
Positive matrix factorization (PMF) method was applied to particle size-distribution data acquired during the Pittsburgh Air Quality Study (PAQS) from July 2001 to August 2001. After removing those days with nucleation events, a total of 1632 samples, each with 165 evenly-sized intervals from 0.003 to 2.5 μm, were obtained from scanning mobility particle spectrometer (SMPS) and aerodynamic particle sampler (APS). The temporal resolution was 15 min. The values for each set of five consecutive-size bins were averaged to produce 33 new size channels. The size distributions of particle number as well as volume were analyzed with a bilinear model. Three kinds of information were used to identify the sources: the number and volume size distributions associated with the factors, the time frequency properties of the contribution of each source (Fourier analysis of source contribution values) and the correlations of the contribution values with the gas-phase data and some composition data. Through these analyses, the sources were assigned as sparse nucleation, local traffic, stationary combustion, grown particles and remote traffic, and secondary aerosol in a sequence of decreasing number concentration contributions. Conditional probability function (CPF) analysis was performed for each source so as to ascertain the likely directions in which the sources were located.
Details
- Title: Subtitle
- Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program
- Creators
- Liming ZhouEugene KimPhilip K HopkeCharles O StanierSpyros Pandis
- Resource Type
- Journal article
- Publication Details
- Aerosol science and technology, Vol.38, pp.118-132
- Publisher
- Taylor & Francis
- DOI
- 10.1080/02786820390229589
- ISSN
- 0278-6826
- eISSN
- 1521-7388
- Language
- English
- Date published
- 12/01/2004
- Academic Unit
- Chemical and Biochemical Engineering
- Record Identifier
- 9984003955602771
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