Positive matrix factorization

Alternative mathematical methods such as artificial neural networks (ANN), maximum likelihood PCA and positive matrix factorization have also proved effective for calibration transfer, but are much more complex than the previous ones and are beyond the scope of this chapter. For more information about this topic see Chapter 12. [Pg.478]

Paatero P, Tapper U (1994) Positive matrix factorization a nonnegative factor model with optimal utilization of error estimates of data values. Environmetrics 5 111-126... [Pg.138]

Lee E, Chan CK, Paatero P (1999) Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong. Atmos Environ 33 3201-3212... [Pg.138]

Yue W, Stolzel M, Cyrys J, Pitz M, Heinrich J, Kreyling WG, Wichmann FIE, Peters A, Wang S, Hopke PK (2008) Source apportionment of ambient fine particle size distribution using positive matrix factorization in Erfurt, Germany. Sci Total Environ 398(1-3) 133-144... [Pg.185]

Beuck H, Quass U, Klemm O, Kuhlbusch TAJ (2011) Assessment of sea salt and mineral dust contributions to PM10 in NW Germany using tracer models and positive matrix factorization. Atmos Environ 45(32) 5813-5821... [Pg.186]

Nicolas J, Chiari M, Crespo J, Orellana IG, Lucarelli F, Nava S, Pastor C, Yubero E (2008) Quantification of Saharan and local dust impact in an arid Mediterranean area by the positive matrix factorization (PMF) technique. Atmos Environ 42(39) 8872-8882... [Pg.186]

Karanasiou AA, Siskos PA, Eleftheriadis K (2009) Assessment of source apportionment by Positive Matrix Factorization analysis on fine and coarse urban aerosol size fractions. Atmos Environ 43 3385-3395... [Pg.186]

Gu J, Pitz M, Schnelle-Kreis J, Diemer J, Reller A, Zimmermann R, Soentgen J, Stoelzel M, Wichmann H-E, Peters A, Cyrys J (2011) Source apportionment of ambient particles comparison of positive matrix factorization analysis applied to particle size distribution and chemical composition data. Atmos Environ 45(10) 1849-1857... [Pg.190]

Hedberg, E., Gidhagen, L. and Johansson, C. (2005) Source contributions to PM10 and arsenic concentrations in central Chile using positive matrix factorization. Atmospheric Environment, 39(3), 549-61. [Pg.7]

Du, S.Y., Rodenburg, L.A. (2007) Source identification of atmospheric PCBs in Philadelphia/Camden using positive matrix factorization followed by the potential source contribution function. Atmospheric Environment, 41(38) 8596-8608. [Pg.200]

The XPS [Do McIntyre 1999] example uses the positive matrix factorization variant of the PARAFAC algorithm [Paatero 1997] and obtains three components with all-positive... [Pg.336]

Xie YL, Hopke P, Paatero P, Barrie L, Li SM, Identification of source and seasonal variations of Arctic aerosol by Positive Matrix Factorization, Journal of the Atmospheric Sciences, 1999a, 56, 249-260. [Pg.369]

The profiles of hydrocarbons, PCBs, organochlorine pesticides, and sterols in sediments from the northwestern Mediterranean Sea were studied by PCA, hierarchical cluster analysis, and positive matrix factorization [70]. Three sources could be distinguished anthropogenic, consisting mostly of PAHs rivers, containing mostly -alkanes, pesticides, and sterols and an unspecified background source, containing just some n-alkanes. [Pg.84]

Rizzo MJ, Scheff PA (2007) Utilizing the chemical mass balance and positive matrix factorization models to determine influential species and examine possible rotations in receptor modeling results. Atmos Environ 41 6986-6998... [Pg.38]

Paatero P, Tapper U (1994) Positive matrix factorization a non-negative factor model with optimal utilization of error estimates of data values. Environmetrics 5 111-126 Park SK, O Neill MS, Stunder BJB et al (2007) Source location of air pollution and cardiac autonomic function trajectory cluster analysis for exposure assessment. J Expos Sci Environ Epidemiol 17 488 97... [Pg.596]

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