Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28131
Title: Source apportionment of PM2.5 in urban area of Hong Kong
Authors: Ho, KF
Cao, JJ
Lee, SC 
Chan, CK
Keywords: Absolute principal components analysis (APCA)
Cluster analysis
Enrichment factors
Source apportionment
Issue Date: 2006
Publisher: Elsevier
Source: Journal of hazardous materials, 2006, v. 138, no. 1, p. 73-85 How to cite?
Journal: Journal of hazardous materials 
Abstract: A monitoring program for PM2.5 had been performed at two urban monitoring stations in Hong Kong from November 2000 to February 2001 and June 2001 to August 2001. PM2.5 samples were collected once every 6 days at PolyU and KT stations with the sampling duration of 24-h. A sum of 25 chemical species in PM2.5 were determined and selected for receptor models. Enrichment factors relative to earth crust abundances were evaluated and it was noted that most crustal elements including Al, Ti, Mg, Ca and K have small enrichment factors. Correlation and multivariate analysis technique, such as principal components analysis (PCA)/absolute principal components analysis (APCA) and cluster analysis (CA) are used for source apportionment to identify the possible sources of PM2.5 and to determine their contribution. Six factors at each site were isolated by using PCA/APCA and cluster analysis. Similar sources (crustal matter, automobile emission, diesel emission, secondary aerosols, tire wear, and non-ferrous smelter) are identified by the PCA/APCA and cluster analysis.
URI: http://hdl.handle.net/10397/28131
ISSN: 0304-3894
EISSN: 1873-3336
DOI: 10.1016/j.jhazmat.2006.05.047
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