1971

Lawton, W. H., Sylvestre, E. A., Self Modeling Curve Resolution, Technometrics, 13, 617-633, 1971.

2001

Ruuskanen, J., Tuch, T., Brink, H. T., Peters, A., Khlystov, A., Mirme, A., Kos, G. P. A., Brunekreef, B., Wichmann, H. E., Buzorius, G., Vallius, M., Kreyling, W. G., Pekkanen, J., Concentrations of ultrafine, fine and PM2.5 particles in three European cities, Atm. Env., 35, 3729-3738, 2001 abstract

Wahlin, P., Palmgren, F., Dingenen, R. V., Experimental studies of ultrafine particles in streets and the relationship to traffic, Atm. Env., 35, S63-S69, 2001. abstract

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

Zhou, L., Kim, E., Hopke, P. K., Stanier, C., Pandis, S., Advanced Factor Analysis on Pittsburgh Particle Size-Distribution Data, AS&T, 38(S1), 118-132. abstract

Zhou, L., Hopke, P. K., Paatero, P., Ondov, J. M., Pancras, J. P., Pekney, N. J., Davidson, C. I., Advanced factor analysis for multiple time resolution aerosol composition data, Atm. Env., 38, 4909-4920, 2004. abstract

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

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

Ogulei, D., Hopke, P. K., Zhou, L., Pancras, J. P., Nair, N., Ondov, J. M., Source Apportionment of Baltimore aerosol from combined size distribution and chemical composition data, Atm. Env, 40, S396-S410, 2006 abstract
- applies PLS and PMF to SMPS, APS, particle species, and gas-phase species in Baltimore in 6 days in July and August 2002
- 12 factors: oil-fired power plant emissoins, secondary nitrate I, local gasoline traffic, coal-fired power plant, secondary nitrate II, secondary sulfate, diesel emissions/bus maintenance, Quebec wildfire episode, nucleation, incinerator, airborne soil/road-way dust, steel plant emissions

Lian, J., Kaduwela, A., Jackson, B., Gurer, K., Allen, P., Off-line diagonstic analyses of a three-dimensional PM model using two matrix factorization methods, Atm. Env., 40, 5759-5767, 2006 abstract

Ogulei, D., Hopke, P. K., Wallace, L. A., Analysis of indoor particle size distributions in an occupied townhouse using positive matrix factorization, Indoor Air, 16, 204-215, 2006. abstract

Han, J. S., Moon, K. J., Lee, S. J., Kim, Y. J., Ryu, S. Y., Yi, S. M., Size-resolved source apportionment of ambient particles by positive matrix factorization at Gosan backgrounds site in East Asia, ACP, 6, 211-233, 2006 abstract
- applies PMF separately to 19 elements from 8 stages of DRUM sampler data in Gosan, Korea in spring 2002

Pere-Trepat, E., Kim, E., Paatero,P., Hopke, P. K., Source apportionment of time and size resolved ambient particulate matter measured with a rotating DRUM impactor, Atm. Env., 41, 5921-5933, 2007. abstract

Ogulei, D., Hopke, P. K., Chalupa, D. C., Utell, M. J., Modeling Source Contributions to Submicron Particle Number Concentrations Measured in Rochester, New York, AS&T, 41, 179-201, 2007. abstract

Yatkin, S., Bayram, A., Source apportionmnet of PM10 and PM2.5 using positive matrix factorization and chemical mass balace in Izmir, Turkey, Sci. Total Env., 390, 109-123, 2008 abstract

Yue, W., Stolzel, M., Cyrys, J., Pitz, M., Heinrich, J., Kreyling, W. G., Wichmann, H. E., Peters, A., Wang, S., Hopke, P. K., Source apportionment of ambient fine particle size distribution using positive matrix factorization in Erfurt, Germany, Sci. Total Env., 398, 133-144, 2008. abstract

Srivastava, A., Gupta, S., Jain, V. K., Winter-time size distribution and source apportionment of total suspended particulate matter and associated metals in Delhi, Atm. Res., 92, 88-99, 2009. abstract

Kleeman, M. J., Riddle, S. G., Robert, M. A., Jakober, C. A., Fine, P. M., Hays, M. D., Schauer, J. J., Hannigan, M. P., Source Apportionment of Fine (PM1.8) and Ultrafine (PM0.1) Airborne Particulate Matter during a Severe Winter Pollution Episode, ES&T, 43, 272-279, 2009. abstract

Thimmaiah, D., Hovorka, J., Hopke, P. K., Source Apportionment of Winter Submicron Prague Aerosols from Combined Particle Number Size Distribution and Gaseous Composition Data, Aerosol and Air Quality Research, 9, 209-236, 2009. Issue Table of Contents