Development of a modified factor analysis/multiple regression model to apportion suspended particulate matter in a complex urban airshed

摘要: Abstract A modified factor analysis/multiple regression (FA/MR) receptor-oriented source apportionment model has been developed which permits application of FA/MR statistical methods when some the tracers are not unique to an individual type. The new method uses and analyses apportion non-unique tracer ambient concentrations in situations where there for all sources contributing except one, ascribes residual concentration that source. This value is then used as final paniculate matter. In addition, results complemented with examination residuals order optimize number identifiable sources. applied identify inhalable particulate matter (IPM; D 50 15 μm ), Pb Fe at a site Newark, NJ. indicated sulfate/secondary aerosol contributed average 25.8 μ −3 (48%) IPM concentrations, followed by soil resuspension (8.2 or 15%), paint spraying/paint pigment (6.7/gmm 13%), fuel oil burning/space heating (4.3 8 %), industrial emissions (3.6 7 %) motor vehicle exhaust (2.7 %). Contributions were: (0.16μm 36%), (0.10μm 24%), (0.08μm 18%), (0.07 17 (0.036 9 zinc related (0.022 5 (0.43μ 51%), (0.28 33 (0.15 18 models were validated comparing partial profiles calculated from modeling corresponding published composition.