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THE U.S. ENVIRONMENTAL PROTECTION AGENCY VERSION OF POSITIVE MATRIX FACTORIZATION
Citation:
HOPKE, P. K., P. PAATERO, AND S. I. EBERLY. THE U.S. ENVIRONMENTAL PROTECTION AGENCY VERSION OF POSITIVE MATRIX FACTORIZATION. Presented at AAAR Conference, ST. Paul, MN, September 10 - 15, 2006.
Impact/Purpose:
The goal of this task is to develop methods and models to reduce the uncertainty in quantifying local and regional air pollutant source impacts on ambient samples collected in speciated PM, air toxic, and semi-continuous measurement networks. A combination of high resolution sampling, organic and inorganic analytical methods, and models will be developed and evaluated to reduce the uncertainty in source apportionment:
(1) semi-continuous inorganic species sampling
(2) inorganic analysis
(3) organic analysis for medium flow samples
(4) multivariate receptor models for ambient samples
(5) regional and local models
In addition, this task contributes to two additional tasks that have research focused on reducing the uncertainty in source apportionment: Identify Sources of Human Exposure (21176), and NAAQS implementation (21179).
Description:
The abstract describes some of the special features of the EPA's version of Positive Matrix Factorization that is freely distributed. Features include descriptions of the Graphical User Interface, an approach for estimating errors in the modeled solutions, and future developments.