Receptor Modeling of Ambient Particulate Matter Data Using Positive Matrix Factorization: Review of Existing Methods

By A. Reff, S. Eberly, P. Bhave. Journal of the Air and Waste Management Association, 2007

677 citations recorded by the source corpus.

Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/f7401d9986391324ff457a77dca1a45a6abdca70

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. G. Norris
2. P. Paatero
3. S. Eberly

In Health, Toxicology and Mutagenesis

1. P. Paatero
2. G. Norris
3. S. Eberly

Citations in the corpus

• Methods for estimating uncertainty in factor analytic solutions (2013, background): “…EPA PMF (which is built on ME-2) are widely used for numerous applications, particularly for analyses of ambient air quality data (Poirot et al., 2001; Reff et al., 2007; Kim and Hopke, 2007; Engel-Cox and Weber, 2007; Norris et al., 2008; Ke et al., 2008; Ulbrich et al., 2009; Brown et al., 2012).”
• Methods for estimating uncertainty in PMF solutions: examples with ambient air and water quality data and guidance on reporting PMF results. (2015, methodology): “5 mass were used as reported, rather than being further downweighted (e.g., Reff et al. (2007); Kim et al. (2005)).”