Size Dist Papers

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2004

  • Kim, E., Hopke, P. K., Larson, T. V., Covert, D. S., Analysis of Ambient Particle Size Distributions Using Unmix and Positive Matrix Factorization, ES&T, 38, 202-209, 2004. abstract
    • applies PMF and UNMIX to DMPS data in Seattle in winter 2000-2001
    • 4 factors: residential wood burning, likely secondary aerosol, diesel emissions, motor vehicle emissions

2005

  • Zhou, L., Hopke, P. K., Stanier, C. O., Pandis, S. N., Ondov, J. M., Pancras, J. P., Investigation of the relationship between chemical composition and size distribution of airborne particles by partial least squares and positive matrix factorization, JGR, 110, D07S18, 2005 abstract
    • applies Partial Least Squares (PLS) and PMF to SMPS, APS, PM2.5 species, and gas phase species in Pittsburgh for 5 days in July 2001
    • 11 factors: secondary nitrate I, remote traffic, secondary nitrate II, secondary sulfate, lead, diesel traffic, coal-fired power plant, steel mill, nucleation, local traffic, coke plant
  • Zhou, L., Kim, E., Hopke, P. K., Stanier, C. O., Pandis, S. N., Mining airborne particulate size distribution data by positive matrix factorization, JGR, 110, D07S19, 2005 abstract
    • applies PMF to SMPS, APS, PM2.5 species, and gas phase species in Pittsburgh for each month (12 mo) from July 2001 to June 2002
    • 5 factors: local traffic, nucleation, mixed factors representing secondary and aged primary aerosol, fresh primary aerosol from local combustion sources; stationary combustion sources; remote Pittsburgh traffic, local point sources


2006

  • Larson, T. V., Covert, D. S., Kim, E., Elleman, R., Schreuder, A. B., Lumley, T., Combining size distribution and chemical species measurements into a multivariate receptor model of PM2.5, JGR, 111, D10S09, 2006 abstract
    • applies ME2 to DMPS, APS, speciated data from from filters (with "missing mass" as a species" in Seattle from Feb. 2000 to June 2003
      • both mass and volume are constrained, and linked by the "average apparent particle density" with Q-terms for mass and volume
      • size distributions are downweighted by a factor of 10 to emphasize composition data
    • 11 factors: vegetative burning, mobile 1, sulfate rich secondary aerosol, nitrate rich secondary aerosol, oil combustion, mobile 3, aged sea salt, airborne soil, sea salt, mobile 2, metals processing