Application of an ensemble-trained source apportionment approach at a site impacted by multiple point sources

Environmental Science and Technology

Volumn 47, Issue 8, 2013, Pages 3743-3751

  Maier, Marissa L ^a,b   Balachandran, Sivaraman ^a   Sarnat, Stefanie E ^a   Turner, Jay R ^a   Mulholland, James A ^a   Russell, Armistead G ^a  

^a Georgia Institute of Technology   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL MASS BALANCE; CHEMICAL TRANSPORT MODELS; CORRELATION COEFFICIENT; MULTIPLE POINT SOURCES; NUMBER OF FACTORS; POSITIVE MATRIX FACTORIZATION; SECONDARY ORGANIC CARBONS (SOC); SOURCE APPORTIONMENT;

DIESEL LOCOMOTIVES; METALS;

METAL ANALYSIS;

ORGANIC CARBON;

COMPARATIVE STUDY; DATA SET; ESTIMATION METHOD; MASS BALANCE; MATRIX; NUMERICAL MODEL; PARTICULATE MATTER; STATISTICAL ANALYSIS; TRANSPORT PROCESS;

ARTICLE; BIOMASS; CHI SQUARE TEST; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIESEL ENGINE; ENSEMBLE TRAINED SOURCE APPORTIONMENT APPROACH; ENVIRONMENTAL MANAGEMENT; PARTICULATE MATTER; PROCEDURES; STATISTICS;

AIR POLLUTANTS; AIR POLLUTION; BIOMASS; DUST; HUMANS; ILLINOIS; METALS; MODELS, THEORETICAL; PARTICULATE MATTER; SEASONS; VEHICLE EMISSIONS;

MISSOURI; SAINT LOUIS; UNITED STATES;

EID: 84876230403     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es304255u     Document Type: Article

References (36)

1. Paatero, P.; Tapper, U. Positive Matrix Factorization-a Nonnegative Factor Model with Optimal Utilization of Error-Estimates of Data Values Environmetrics 1994, 5 (2) 111-126
2. 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, 1347-55
3. Bruyn, D. W.; Ching, J. K. S. Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System; U.S.EPA: Research Triangle Park, NC, 1999.
4. Sarnat, J. A.; Marmur, A.; Klein, M.; Kim, E.; Russell, A. G.; Sarnat, S. E.; Mulholland, J. A.; Hopke, P. K.; Tolbert, P. E. Fine Particle Sources and Cardiorespiratory Morbidity: An Application of Chemical Mass Balance and Factor Analytical Source-Apportionment Methods Environ. Health Perspect. 2008, 116 (4) 459-466
5. Marmur, A.; Park, S.-K.; Mulholland, J. A.; Tolbert, P. E.; Russell, A. G. Source apportionment of PM2.5 in the southeastern United States using receptor and emissions-based models: Conceptual differences and implications for time-series health studies Atmos. Environ. 2006, 40 (14) 2533-2551
6. Ito, K. PM source apportionment and health effects: 2. An investigation of intermethod variability in associations between source-apportioned fine particle mass and daily mortality in Washington DC J. Exposure Sci. Environ. Epidemiol. 2006, 16 (4) 300-310
7. Laden, F.; Neas, L. M.; Dockery, D. W.; Schwartz, J. Association of fine particulate matter from different sources with daily mortality in six US cities Environ. Health Perspect. 2000, 108 (10) 941-947
8. Mar, T. F. PM source apportionment and health effects. 3. Investigation of inter-method variations in associations between estimated source contributions Of PM2.5 and daily mortality in Phoenix AZ J. Exposure Sci. Environ. Epidemiol. 2006, 16 (4) 311-320
9. 2.5 Source Apportionment Approach for Health Studies Environ. Sci. Technol. 2009, 43 (18) 7023-7031
10. Hogrefe, C.; Porter, S.; Gego, E.; Gilliland, A.; Gilliam, R.; Swall, J.; Irwin, J.; Rao, S. T. Temporal features in observed and simulated meteorology and air quality over the Eastern United States Atmos. Environ. 2006, 40 (26) 5041-5055
11. Viana, M.; Pandolfi, M.; Minguilloń, M. C.; Querol, X.; Alastuey, A.; Monfort, E.; Celades, I. Inter-comparison of receptor models for PM source apportionment: Case study in an industrial area Atmos. Environ. 2008, 42 (16) 3820-3832
12. Christensen, W. F.; Schauer, J. J. Impact of species uncertainty perturbation on the solution stability of positive matrix factorization of atmospheric particulate matter data Environ. Sci. Technol. 2008, 42 (16) 6015-6021
13. Lee, J. H.; Hopke, P.K.; Turner, J.R. Source identification of airborne PM2.5 at the St. Louis-Midwest Supersite J. Geophys. Res.-Atmos. 2006, 111, D10
14. Bae, M. S.; Schauer, J. J.; Turner, J. R. Estimation of the monthly average ratios of organic mass to organic carbon for fine particulate matter at an urban site Aerosol Sci. Technol. 2006, 40 (12) 1123-1139
15. Jaeckels, J. M.; Bae, M. S.; Schauer, J. J. Positive matrix factorization (PMF) analysis of molecular marker measurements to quantify the sources of organic aerosols Environ. Sci. Technol. 2007, 41 (16) 5763-5769
16. Amato, F.; Hopke, P. K. Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization Atmos. Environ. 2012, 46, 329-337
17. Christensen, W. F.; Schauer, J. J. Impact of Species Uncertainty Perturbation on the Solution Stability of Positive Matrix Factorization of Atmospheric Particulate Matter Data Environ. Sci. Technol. 2008, 42, 6015-6021
18. U.S. EPA. 2002 National Emissions Inventory Data & Documentation. Clearinghouse for Inventories & Emissions Factors, Emissions Inventory Information; March 5, 2010. http://www.epa.gov/ttn/chief/net/2002inventory.html (accessed June 8, 2011).
19. Turner, J. R. St. Louis-Midwest Fine Particulate Matter Supersite Quality Assurance Final Report; Washington University in St. Louis: St. Louis, MO, 2007; p 34.
20. Sheesley, R. J.; Schauer, J.; Meiritz, M.; DeMinter, J.; Bae, M.-S.; Turner, J. Daily variation in particle-phase source tracers in an urban atmosphere Aerosol Sci. Technol. 2007, 41 (11) 981-993
21. Baek, J. Improving Aerosol Simulations: Assessing and Improving Emissions and Secondary Organic Aerosol Formation in Air Quality Modeling. In Civil and Environmental Engineering; Georgia Institute of Technology: Atlanta, GA, 2009; p 202.
22. Coulter, C. T. EPA-CMB8.2 Users Manual; U.S. EPA, Office of Air Quality Planning & Standards: Research Triangle Park, NC, 2004.
23. Reff, A.; Eberly, S.; Bhave, P. Receptor Modeling of Ambient Particulate Matter Data Using Positive Matrix Factorization: A Review of Existing Methods J. Air Waste Manage. Assoc. 2007, 57, 146-154
24. Garlock, J. L. PM2.5 Mass Source Apportionment for the St. Louis-Midwest Supersite: Sensitivity Studies and Refinements; Department of Energy, Environmental and Chemical Engineering, Washington University: Saint Louis, MO, 2006; p 102.
25. 2.5 incorporating gas-to-particle ratios Environ. Sci. Technol. 2005, 39 (9) 3245-3254
26. U.S. EPA. SPECIATE Version 4.3. Clearinghouse for Inventories & Emission Factors, Software and Tools 2011; December 12, 2011 [accessed March 7, 2012, ]; http://www.epa.gov/ttn/chief/software/speciate/index.html.
27. U.S. EPA. EPA Positive Matrix Factorization (PMF) 3.0 Fundamentals & User Guide; Office of Research and Development: Washington, DC, 2008.
28. Turner, J. R.; Sarnat, S. E. Speciated PM2.5 Data for the Midwest St. Louis Supersite; St. Louis, MO, 2011.
29. Zheng, M.; Cass, G. L.; Ke, L.; Wang, F.; Schauer, J. J.; Edgerton, E. S.; Russell, A. G. Source apportionment of daily fine particulate matter at Jefferson street, Atlanta, GA, during summer and winter J. Air Waste Manage. Assoc. 2007, 57 (2) 228-242
30. Chow, J. C. Source profiles for industrial, mobile, and area sources in the Big Bend Regional Aerosol Visibility and Observational study Chemosphere 2004, 54 (2) 185-208
31. Schauer, J. J.; Kleeman, M. J.; Cass, G. R.; Simoneit, B. R. T. Measurement of Emissions from Air Pollution Sources. 3. C1-C29 Organic Compounds from Fireplace Combustion of Wood Environ. Sci. Technol. 2001, 35 (9) 1716-1728
32. Balachandran, S.; Pachon, J. E.; Hu, Y.; Lee, D.; Mulholland, J. A.; Russell, A. G. Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis Atmos. Environ. 2012, 61, 387-394
33. Frontline Systems, Inc. Risk Solver Platform, 1991-2011; Incline Village, NV.
34. Marmur, A.; Mulholland, J. A.; Russell, A. G. Optimized variable source-profile approach for source apportionment Atmos. Environ. 2007, 41 (3) 493-505
35. Shah, S. D.; Cocker, D. R., III; Miller, J. W.; Norbeck, J. M. Emission rates of particulate matter and elemental and organic carbon from in-use diesel engines Environ. Sci. Technol. 2004, 38 (9) 2544-2550
36. USEPA. DownloadDetailed AQS Data. Technology Transfer NetworkAir Quality System 2012; June 25, (2012) (accessed July 20, 2012). http://www.epa.gov/ttn/ airs/airsaqs/detaildata/downloadaqsdata.htm.