Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 409, Issue 22, Pages 4788-4795Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2011.07.048
Keywords
PM10; Emission sources; PMF; 4-hour resolved source apportionment; Wood burning contribution
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In this work Positive Matrix Factorization (PMF) was applied to 4-hour resolved PM10 data collected in Milan (Italy) during summer and winter 2006. PM10 characterisation included elements (Mg-Pb), main inorganic ions (NH4+, NO3- SO42-), levoglucosan and its isomers (mannosan and galactosan), and organic and elemental carbon (OC and EC). PMF resolved seven factors that were assigned to construction works, re-suspended dust, secondary sulphate, traffic, industry, secondary nitrate, and wood burning. Multi Linear Regression was applied to obtain the PM10 source apportionment. The 4-hour temporal resolution allowed the estimation of the factor contributions during peculiar episodes, which would have not been detected with the traditional 24-hour sampling strategy. (C) 2011 Elsevier B.V. All rights reserved.
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