PMF - 9/13/11 Aerosol & Particulate Research...

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Unformatted text preview: 9/13/11 Aerosol & Particulate Research Lab PMF Positive Matrix Factorization Version 3 available at EPA Support Center for Regulatory Air Models - http:// www.epa.gov/heasd/products/pmf/pmf.html 9/13/11 11 Aerosol & Particulate Research Lab 9/13/11 Aerosol & Particulate Research Lab PMF Principle Multivariate factor analysis that decomposes a matrix of speciated sample data into two matrices factor profiles and factor contributions Example: Pbsample 1 = MasssourceA @ receptor CPb in sourceA + MasssourceB @ receptor CPb in sourceB + MasssourceC @ receptor CPb in sourceC Pbsample 2 = MasssourceA @ receptor CPb in sourceA + 9/13/11 Aerosol & Particulate Research Lab 22 i: sample number j: chemical species f: species profile g: amount of mass e: residual for each sample/species 9/13/11 Aerosol & Particulate Research Lab PMF Principles The two matrices are the interpreted by an analysts as to what source types are presented using measured source profile information, wind direction and emission inventories. To be statistically valid, the sample number needs to be sufficiently large 9/13/11 Aerosol & Particulate Research Lab 33 9/13/11 Aerosol & Particulate Research Lab Positive Contribution Results are constrained so that no sample can have a negative source contribution. can have a negative source contribution....
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PMF - 9/13/11 Aerosol & Particulate Research...

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