Compilation and Assessment of Recent Positive Matrix Factorization and UNMIX Receptor Model Studies on Fine Particulate Matter Source Apportionment for the Eastern United States

References

• U.S. Environmental Protection Agency. National Ambient Air Quality Standards for Particulate Matter, Final Rule, Part II; Fed. Regist. 40 CFR Part 50, July 18, 1997.
   Google Scholar
• U.S. Environmental Protection Agency. National Ambient Air Quality Standards for Particulate Matter, Final Rule, Part II; Fed. Regist. 40 CFR Part 50, September 21, 2006.
   Google Scholar
• U.S. Environmental Protection Agency. Revised Requirements for Designation of Reference and Equivalent Methods for PM2.5 and Ambient Air Quality Surveillance for Particulate Matter, Final Rule, Part IV; Fed. Regist. 40 CFR Parts 53 and 58, July 18, 1997.
   Google Scholar
• Blifford I.H.; Meeker, G.O. A Factor Analysis Model of Large Scale Pollution; Atmos. Environ. 1967, 1, 147–157.
   Google Scholar
• Henry, R.C.; Hidy, G.M. Multivariate Analysis of Particulate Sulfate and Other Air Quality Variables by Principle Components—Part, I: Annual Data from Los Angeles and New York; Atmos. Environ. 1979, 13, 1581–1596.
   Google Scholar
• Alpert, D.J.; Hopke P.K.. A Quantitative Determination of Sources in the Boston Urban Aerosol; Atmos. Environ. 1980, 14, 1137–1146.
   Google Scholar
• Daisey, J.M.; Kneip, T.J. Atmospheric Particulate Organic Matter: Multivariate Models for Identifying Sources and Estimating their Contributions to the Ambient Aerosol. In Atmospheric Aerosol: Source/Air Quality Relationships, E.S. Macias and P.K. Hopke, Eds. American Chemical Society, Washington, DC, 1981, pp 197–221.
   Google Scholar
• Paatero, P.; Tapper, U. Positive Matrix Factorization: A Non-Negative Factor Model with Optimal Utilization of Error Estimates of Data Values; Environmetrics 1994, 5, 111–126.
   Google Scholar
• Rahn, K.A.; Lowenthal, D.H. Elemental Tracers of Distant Regional Pollution Aerosols. Science 1984, 223, 132–139.
   Google Scholar
• Lowenthal, D.H.; Rahn, K.A. The Relationship Between Secondary Sulfate and Primary Regional Signatures in Northeastern Aerosol and Precipitation; Atmos. Environ. 1989, 23, 1511–1515.
   Google Scholar
• Wishinski, P.R.; Poirot, R.L. Source/Receptor Relationships for a Number of Factors Contributing to Summertime Variation in Light Extinction in Northern Vermont. In Transactions APCA Spec. Conf. on Visibility Protection: Research and Policy Aspects, P.S. Bhardwaja, Ed.; Jackson Hole, WY, 1986, pp 807–822.
   Google Scholar
• Paatero, P. The Multilinear Engine: a Table-Driven, Least Squares Program for Solving Multilinear Problems, Including the N-Way Parallel Factor Analysis Model; J. Comp. Graph. Stat. 1999, 8, 854–888.
   Google Scholar
• Henry, R.C. Multivariate Receptor Modeling by n-Dimensional Edge Detection; Chemomet. Intell. Lab. Syst. 2003, 65, 179–189.
   Google Scholar
• Watson, J.G.; Cooper, J.A.; Huntzicker, J.J. The Effective Variance Weighting for Least Squares Calculations Applied to the Mass Balance Receptor Model; Atmos. Environ. 1984, 18, 1347–1355.
   Google Scholar
• Watson, J.G.; Robinson, N.F.; Chow, J.C.; Henry, R.C.; Kim, B.M.; Pace, T.G.; Meyer, E.L.; Nguyen, Q. The USEPA/DRI Chemical Mass Balance Receptor Model, CMB 7.0; Environ. Software 1990, 5, 38–49.
   Google Scholar
• Chow, J.C; Watson, J.G. Review of PM2.5 and PM10 Apportionment for Fossil Fuel Combustion and Other Sources by the Chemical Mass Balance Receptor Model; Energy Fuels 2002, 16, 222-260.
   Google Scholar
• Draxler, R.R. HYSPLIT_4 User’s Guide. NOAA Technical Memorandum ERL ARL-230; Air Resource Laboratory: Silver Spring, MD, 1999.
   Google Scholar
• Engel-Cox, J.; Young, G.; Hoff, R. Application of Satellite Remote Sensing Data for Source Analysis of Fine Particulate Matter Transport Events; J. Air & Waste Manage. Assoc. 2005, 55, 1389–1397.
   Google Scholar
• Coutant, B.W.; Engel-Cox, J.A.; Swinton, K.E. Compilation of Existing Studies on Source Apportionment for PM2.5; Draft Technical Report for the Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, August 22, 2003; available at http://www.epa.gov/air/oaqps/pm25/docs/compsareports.pdf (accessed 2006).
   Google Scholar
• Lee, J.H.; Yoshida, Y.; Turpin, B.; Hopke, P.K.; Poirot, R.L.; Lioy, P.J.; Oxley, J.C. Identification of Sources Contributing to the Mid-Atlantic Regional Aerosol; J. Air & Waste Manage. Assoc. 2002, 52, 1186-1205.
   Google Scholar
• SPECIATE Version 3.2, United States Environmental Protection Agency: Research Triangle Park, NC, 2002.
   Google Scholar
• Coutant, B.; Kelly, T.; Ma, J.; Scott, B.; Wood, B.; Main, H. Source Apportionment Analysis of Air Quality Monitoring Data: Phase 1 Final Report; Prepared for the Mid-Atlantic/Northeast Visibility Union and Midwest Regional Planning Organization by Battelle Memorial Institute and Sonoma Technology, Inc.: May 2002.
   Google Scholar
• Poirot, R.L.; Wishinski, P.R.; Hopke, P.K.; Polissar, A.V. Comparative Application of Multiple Receptor Methods to Identify Aerosol Sources in Northern Vermont; Environ. Sci. Technol. 2001, 35, 4622–4636.
   Google Scholar
• Battye, W. Compendium of Existing Back-Trajectory Analyses Relating to US-Canada Trans-Boundary Impacts of Fine Particulate Matter and Regional Haze; Draft Report for U.S. Environmental Protection Agency, Contract No. 68-D-98-006, Work Assignment No. 5-07, September 2002.
   Google Scholar
• Hopke, P.K.; Ito, K.; Mar, T.; Christensen, W.F.; Eatough, D.J.; Henry, R.C.; Kim, E.; Laden, F.; Lall, R.; Larson, T.V.; Liu, H.; Neas, L.; Pinto, J.; Stölzel, M.; Suh, H.; Paatero, P.; Thurston, G.D. PM Source Apportionment and Health Effects: 1. Intercomparison of Source Apportionment Results; J. Expos. Sci. Environ. Epidemiol. 2006, 16, 275-286.
   Google Scholar
• Lee, P.K.H.; Brook, J.R.; Dabek-Zlotorzynska, E.; Mabury, S.A. Identification of the Major Sources Contributing to PM2.5 Observed in Toronto; Environ. Sci. Technol. 2003, 37, 4831-4840.
   Google Scholar
• Kim, E.; Hopke, P.K. Source Apportionment of Fine Particles at Washington, DC Utilizing Temperature Resolved Carbon Fractions; J. Air & Waste Manage. Assoc. 2004, 54, 773–785.
   Google Scholar
• Kim, E.; Hopke, P.K. Improving Source Identification of Fine Particles in Rural Northeastern U.S. Area Utilizing Temperature-Resolved Carbon Fractions; J. Geophys. Res. 2004, 109, D09204.
   Google Scholar
• Kim, E.; Hopke, P.K.; Edgerton, E.S. Source Identification of Atlanta Aerosol by Positive Matrix Factorization; J. Air & Waste Manage. Assoc. 2003, 53, 731–739.
   Google Scholar
• Kim, E.; Hopke, P.K.; Edgerton, E.S. Improving Source Identification of Atlanta Aerosol Using Temperature Resolved Carbon Fractions in Positive Matrix Factorization; Aerosol Sci. Technol. 2004, 38, 3349–3362.
   Google Scholar
• Kim, E.; Hopke, P.K.; Paatero, P.; Edgerton, E.S. Incorporation of Parametric Factors into Multilinear Receptor Model Studies of Atlanta Aerosol. Atmos. Environ. 2003, 37, 5009–5021.
   Google Scholar
• Chen, L.-W.A.; Doddridge, B.G.; Dickerson, R.R.; Chow, J.C.; Henry, R.C. Origins of Fine Aerosol Mass in Baltimore-Washington Corridor: Implications from Observation, Factor Analysis, and Ensemble Air Parcel Back Trajectories; Atmos. Environ. 2002, 36, 4541–4554.
   Google Scholar
• Coutant, B.W.; Holloman, C.H.; Swinton, K.E.; Hafner, H.R. Eight-Site Source Apportionment of PM2.5 Speciation Trends Data; Final Report for Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency: September 24, 2003; available at http://www.epa.gov/oar/oaqps/pm25/docs/8sitesaspectrendsfinal.pdf (accessed 2006)
   Google Scholar
• Liu, W.; Hopke, P.K.; Han, Y.; Yi, S.-M.; Holsen, T.M.; Cybart, S.; Kozlowski, K.; Milligan, M. Application of Receptor Modeling to Atmospheric Constituents at Potsdam and Stockton, NY; Atmos. Environ. 2003, 37, 4997-5007.
   Google Scholar
• Polissar, A.V.; Hopke, P.K.; Poirot, R.L. Atmospheric Aerosol Over Vermont: Chemical Composition and Sources; Environ. Sci. Technol. 2001, 35, 4604–4621.
   Google Scholar
• Song, X.H.; Polissar, A.V.; Hopke, P.K. Sources of Fine Particle Composition in the Northeastern U.S.; Atmos. Environ. 2001, 35, 5277-5286.
   Google Scholar