1999
DOI: 10.1016/s1352-2310(98)00324-0
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Testing and optimizing two factor-analysis techniques on aerosol at Narragansett, Rhode Island

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Cited by 138 publications
(73 citation statements)
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“…PMF has been proven to be a robust tool in characterizing the sources of aerosol (Paatero and Tapper, 1994;Huang et al, 1999;Lee et al, 1999;Viana et al, 2008;Koçak et al, 2009; for more details, see Appendix A). EPA PMF 5.0 software mainly consists of model run and rotational tools (see EPA/600/R-14/108; US EPA, 2014).…”
Section: Positive Matrix Factorization (Pmf) For Source Apportionmentmentioning
confidence: 99%
“…PMF has been proven to be a robust tool in characterizing the sources of aerosol (Paatero and Tapper, 1994;Huang et al, 1999;Lee et al, 1999;Viana et al, 2008;Koçak et al, 2009; for more details, see Appendix A). EPA PMF 5.0 software mainly consists of model run and rotational tools (see EPA/600/R-14/108; US EPA, 2014).…”
Section: Positive Matrix Factorization (Pmf) For Source Apportionmentmentioning
confidence: 99%
“…Principal components are then subjected to rotation to generate a matrix of factor loadings for variables in the factors. After rotation of the factor-loading matrix, the factors can be interpreted as origins or common sources [28,29].…”
Section: +mentioning
confidence: 99%
“…[Paatero, 1996;Paatero and Tapper, 1993;1994]. A systematic study of aerosol at Narragansett has shown that PMF resolves minor factors up to 100 times better than conventional factor analysis [Huang et al, 1999]. On the basis of guidelines developed in that study [Huang et al., 1999], we used 20 elements with relatively few values below detection limits (Na, Mg, A1, C1, Ca, Sc, V, Cr, Mn, Fe, Co, Zn, Se, Br, Sb, I, Cs, Eu, Hf, and Th).…”
Section: Factor Analysismentioning
confidence: 99%