Receptor modeling of source apportionment of Hong Kong aerosols and the implication of urban and regional contribution

摘要: Abstract Understanding the spatial–temporal variations of source apportionment PM2.5 is critical to effective control particulate pollution. In this study, two one-year studies composition were conducted at three contrasting sites in Hong Kong from November 2000 October 2001, and 2004 2005, respectively. A receptor model, principal component analysis (PCA) with absolute scores (APCS) technique, was applied data for identification quantification pollution sources rural, urban roadside sites. The modeling results identified that major vehicular emissions/road erosion, secondary sulfate, residual oil combustion, soil suspension sea salt regardless sampling periods. sulfate aerosols made most significant contribution rural (HT) (44 ± 3%, mean ± 1σ standard error) (TW) (28 ± 2%) sites, followed by emission (20 ± 3% HT 23 ± 4% TW) combustion (17 ± 2% 19 ± 1% TW). However, site (MK), emissions especially diesel vehicle (33 ± 1% plus 18 ± 2% other vehicles), (24 ± 1%). We found both much higher than (2 ± 0.4%), perhaps due marine vessel activities container terminal near close distance pathway vessels site. large all reflected wide influence regional With regard temporal trend, contributions showed autumn winter values lower summer levels particularly background site, suggesting seasonal variation mainly affected synoptic meteorological conditions long-range transport. Analysis annual patterns indicated significantly reduced 2000/01 2004/05 (p