Title of article :
Source apportionment of urban ambient PM2.5 in two successive measurement campaigns in Helsinki, Finland
Author/Authors :
Marko Vallius، نويسنده , , Timo Lanki، نويسنده , , Pekka Tiittanen، نويسنده , , Kimmo Koistinen، نويسنده , , Juhani Ruuskanen، نويسنده , , Juha Pekkanen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
Source apportionment of urban fine particle mass (PM2.5) was done from data collected during two 6-month measurement periods in 1996–97 and 1998–99 in Helsinki, Finland, using absolute principal component analysis and multivariate linear regression. In addition to PM2.5 elemental composition data, 24-h average concentrations of ultrafine particles (diameter <0.1 μm) and accumulation mode particles (diameter 0.1–1.0 μm), as well as absorption coefficients of PM2.5 filters and concentrations of nitrogen oxides (NOx) and sulphur dioxide (SO2) were used as input data to PM2.5 source modelling. Five similar source categories of PM2.5 were identified separately for both measurement periods: local traffic source characterised by NOx, absorption coefficient and ultrafine particle counts; long-range transboundary air pollution characterised by S, K, Zn, Pb and accumulation mode particle counts; crustal source characterised by Si, Al, Ca, Fe and K; oil combustion characterised by V, Ni and SO2; and salt source characterised by Na and Cl. Long-range transboundary air pollution was the major contributor to PM2.5 during both 1996–97 and 1998–99 accounting for 51% and 50%, respectively, of the average PM2.5. Local traffic accounted for 30% and 23%, oil combustion for 3% and 13%, crustal source for 12% and 5%, and salt for 2% and 7% of the average PM2.5 during 1996–97 and 1998–99, respectively. Despite differences in atmospheric concentrations and availability of several elements for statistical analyses in 1996–97 and 1998–99, the estimates of PM2.5 source contributions were both qualitatively and quantitatively comparable for the two measurement periods. Using non-elemental markers proved very useful for both source identification and estimation of source contributions at this measurement site.
Keywords :
Urban aerosol , CHEMICAL COMPOSITION , trace elements , Receptor modelling , PCA
Journal title :
Atmospheric Environment
Journal title :
Atmospheric Environment