Abertay Research Collections >
School of Science, Engineering & Technology >
Science Engineering & Technology Collection >
Please use this identifier to cite or link to this item:
|Title: ||Comparative testing of PMF and CFA models|
|Authors: ||Qin, Y.|
Oduyemi, Kehinde O. K.
Chan, L. Y.
|Affiliation: ||University of Abertay Dundee. School of Contemporary Sciences|
|Keywords: ||Positive matrix factorization|
Convenient factor analysis
Respirable suspended particulate
|Issue Date: ||Feb-2002|
|Type: ||Journal Article|
|Rights: ||Published version (c)Elsevier, available from DOI: 10.1016/S0169-7439(01)00175-7|
|Citation: ||Qin, Y., Oduyemi, K. and Chan, L. Y. 2002. Comparative testing of PMF and CFA models. Chemometrics and Intelligent Laboratory Systems. 61(1-2): pp.75–87. [Online] Available from: DOI: 10.1016/S0169-7439(01)00175-7|
|Abstract: ||Positive matrix factorization (PMF) and convenient factor analysis (CFA) models have been tested using a large aerosol
database measured in Hong Kong. As many as possible chemical components (good elements or so-called weak elements)
[Atmos. Environ. 33 (1999) 2169] were selected to compose as large as possible a database. Error estimates and enforced
rotation techniques were used in the PMF model trial. These important aspects were not included in a recently published work
[Atmos. Environ. 33 (1999) 2169]. The test results of the two models mentioned above were assessed qualitatively by analyzing
factor characteristics, and quantitatively by comparing factor mass profiles. CFA model has been shown to be a convenient tool
for aerosol source identification and can qualitatively treat the elements that can serve as source tracers as well as PMF model
does. PMF model provides expert tool for the identification of aerosol sources and source contribution estimation. It can treat
the chemical components from various sources by apportioning these chemical components among the factors more reasonably
than CFA model can. Quantitatively, the factor mass profiles produced by a PMF model are better at describing the source
structure than those derived by a CFA model.|
|Appears in Collections:||Science Engineering & Technology Collection|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.