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Absolute principal component analysis can be applied, with suitablemodifications, to atmospheric aerosol size distribution measurements. Thismethod quickly and conveniently reduces the dimensionality of a data set.The resulting representation of the data is much simpler, but preservesvirtually all the information present in the original measurements. Here wedemonstrate how to combine the simplified size distribution data with tracegas measurements and meteorological data to determine the origins of themeasured particulate matter using absolute principal component analysis. Wehave applied the analysis to four different sets of field measurements thatwere conducted at three sites in southern Ontario. Several common factorswere observed at all the sites; these were identified as photochemicallyproduced secondary aerosol particles, regional pollutants (includingaccumulation mode aerosol particles), and trace gas variations associatedwith boundary layer dynamics. Each site also exhibited a factor associatedspecifically with that site: local industrial emissions in Hamilton (urbansite), processed nucleation mode particles at Simcoe (polluted rural site),and transported fine particles at Egbert (downwind from Toronto)

Application of absolute principal component analysis to size distribution data: identification of particle origins