Assessing positive matrix factorization model fit: a new method to estimate uncertainty and bias in factor contributions at the daily time scale

A Positive Matrix Factorization receptor model for aerosol pollution source apportionment was fit to a synthetic dataset simulating one year of daily measurements of ambient PM2.5 concentrations, comprised of 39 chemical species from nine pollutant sources. A novel method was developed to estimate m...

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Veröffentlicht in:	Atmospheric chemistry and physics discussions 2008-02, Vol.8 (1), p.2977-3026
Hauptverfasser:	Hemann, J G, Brinkman, G L, Dutton, S J, Hannigan, M P, Milford, J B, Miller, S L
Format:	Artikel
Sprache:	eng
Schlagworte:	Ocean, Atmosphere Sciences of the Universe
Online-Zugang:	Volltext
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