Revising the use of potassium (K) in the source apportionment of PM2.5

Atmospheric Pollution Research

Volumn 4, Issue 1, 2013, Pages 14-21

  Pachon, Jorge E ^a,c   Weber, Rodney J ^b   Zhang, Xiaolu ^b   Mulholland, James A ^c   Russell, Armistead G ^c  

^a UNIVERSIDAD DE LA SALLE   (Colombia)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Georgia Institute of Technology   (United States)

Author keywords

Biomass burning; Factor analysis; Levoglucosan; PMF; Potassium

Indexed keywords

EID: 84882793818     PISSN: 13091042     EISSN: None     Source Type: Journal    
DOI: 10.5094/APR.2013.002     Document Type: Article

References (37)

1. Andreae, M.O., 1983. Soot carbon and excess fine potassium-long-range transport of combustion-derived aerosols. Science 220, 1148-1151.
2. Cao, J.J., Lee, S.C., Ho, K.F., Fung, K., Chow, J.C., Watson, J.G., 2006. Characterization of roadside fine particulate carbon and its eight fractions in Hong Kong. Aerosol and Air Quality Research 6, 106-122.
3. Chow, J.C., Watson, J.G., Pritchett, L.C., Pierson, W.R., Frazier, C.A., Purcell, R.G., 1993. The DRI thermal optical reflectance carbon analysis system-description, evaluation and applications in United-States air-quality studies. Atmospheric Environment Part A-General Topics 27, 1185-1201.
4. Edgerton, E.S., Hartsell, B.E., Saylor, R.D., Jansen, J.J., Hansen, D.A., Hidy, G.M., 2005. The southeastern aerosol research and characterization study-Part II: filter-based measurements of fine and coarse particulate matter mass and composition. Journal of the Air and Waste Management Association 55, 1527-1542.
5. Georgia-DNR (Georgia Department of Natural Resources), 2007. Visibility Improvement State and Tribal Association of the Southeast (VISTAS) conceptual description support document. Asheville, NC.
6. Hansen, D.A., Edgerton, E.S., Hartsell, B.E., Jansen, J.J., Kandasamy, N., Hidy, G.M., Blanchard, C.L., 2003. The southeastern aerosol research and characterization study-Part 1: overview. Journal of the Air and Waste Management Association 53, 1460-1471.
7. Jordan, T.B., Seen, A.J., Jacobsen, G.E., 2006. Levoglucosan as an atmospheric tracer for woodsmoke. Atmospheric Environment 40, 5316-5321.
8. Kim, E., Hopke, P.K., Edgerton, E.S., 2004. Improving source identification of Atlanta aerosol using temperature resolved carbon fractions in positive matrix factorization. Atmospheric Environment 38, 3349-3362.
9. Kim, E., Hopke, P.K., Edgerton, E.S., 2003. Source identification of Atlanta aerosol by positive matrix factorization. Journal of the Air and Waste Management Association 53, 731-739.
10. Lee, D., Balachandran, S., Pachon, J., Shankaran, R., Lee, S., Mulholland, J.A., Russell, A.G., 2009. Ensemble-trained PM2.5 source apportionment approach for health studies. Environmental Science and Technology 43, 7023-7031.
11. Lee, S., Liu, W., Wang, Y.H., Russell, A.G., Edgerton, E.S., 2008. Source apportionment of PM2.5: comparing PMF and CMB results for four ambient monitoring sites in the southeastern United States. Atmospheric Environment 42, 4126-4137.
12. Lee, S., Russell, A.G., 2007. Estimating uncertainties and uncertainty contributors of CMB PM2.5 source apportionment results. Atmospheric Environment 41, 9616-9624.
13. Lee, S., Baumann, K., Schauer, J.J., Sheesley, R.J., Naeher, L.P., Meinardi, S., Blake, D.R., Edgerton, E.S., Russell, A.G., Clements, M., 2005. Gaseous and particulate emissions from prescribed burning in Georgia. Environmental Science and Technology 39, 9049-9056.
14. Lewis, C.W., Norris, G.A., Conner, T.L., Henry, R.C., 2003. Source apportionment of phoenix PM2.5 aerosol with the Unmix receptor model. Journal of the Air and Waste Management Association 53, 325-338.
15. Lewis, C.W., Baumgardner, R.E., Stevens, R.K., Claxton, L.D., Lewtas, J., 1988. Contribution of woodsmoke and motor-vehicle emissions to ambient aerosol mutagenicity. Environmental Science and Technology 22, 968-971.
16. Li, Z., Sjodin, A., Porter, E.N., Patterson, D.G., Needham, L.L., Lee, S., Russell, A.G., Mulholland, J.A., 2009. Characterization of PM2.5-bound polycyclic aromatic hydrocarbons in Atlanta. Atmospheric Environment 43, 1043-1050.
17. Liu, W., Wang, Y.H., Russell, A., Edgerton, E.S., 2006. Enhanced source identification of southeast aerosols using temperature-resolved carbon fractions and gas phase components. Atmospheric Environment 40, S445-S466.
18. Liu, W., Wang, Y.H., Russell, A., Edgerton, E.S., 2005. Atmospheric aerosol over two urban-rural pairs in the southeastern United States: chemical composition and possible sources. Atmospheric Environment 39, 4453-4470.
19. Majestic, B.J., Anbar, A.D., Herckes, P., 2009. Elemental and iron isotopic composition of aerosols collected in a parking structure. Science of the Total Environment 407, 5104-5109.
20. Marmur, A., Mulholland, J.A., Russell, A.G., 2007. Optimized variable source-profile approach for source apportionment. Atmospheric Environment 41, 493-505.
21. Marmur, A., Park, S.K., Mulholland, J.A., Tolbert, P.E., Russell, A.G., 2006. 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. Atmospheric Environment 40, 2533-2551.
22. Marmur, A., Unal, A., Mulholland, J.A., Russell, A.G., 2005. Optimizationbased source apportionment of PM2.5 incorporating gas-to-particle ratios. Environmental Science and Technology 39, 3245-3254.
23. Miranda, J., Cahill, T.A., Morales, J.R., Aldape, F., Flores, J., Diaz, R.V., 1994. Determination of elemental concentrations in atmospheric aerosols in Mexico-City using proton-induced x-ray-emission, proton elasticscattering, and laser-absorption. Atmospheric Environment 28, 2299-2306.
24. Norris, G., Vedantham, R., 2008. EPA Positive Matrix Factorization (PMF) 3.0 Fundamentals and User Guide, EPA 600/R-08/108, Washington, 81 pp.
25. Peng, R.D., Bell, M.L., Geyh, A.S., McDermott, A., Zeger, S.L., Samet, J.M., Dominici, F., 2009. Emergency admissions for cardiovascular and respiratory diseases and the chemical composition of fine particle air pollution. Environmental Health Perspectives 117, 957-963.
26. Pio, C.A., Legrand, M., Alves, C.A., Oliveira, T., Afonso, J., Caseiro, A., Puxbaum, H., Sanchez-Ochoa, A., Gelencser, A., 2008. Chemical composition of atmospheric aerosols during the 2003 summer intense forest fire period. Atmospheric Environment 42, 7530-7543.
27. Puxbaum, H., Caseiro, A., Sanchez-Ochoa, A., Kasper-Giebl, A., Claeys, M., Gelencser, A., Legrand, M., Preunkert, S., Pio, C., 2007. Levoglucosan levels at background sites in Europe for assessing the impact of biomass combustion on the European aerosol background. Journal of Geophysical Research-Atmospheres 112, art. no. D23S05.
28. R Development Core Team, 2011. http://www.gbif.org/orc/?doc_id=3297, accessed in May 2012.
29. Reff, A., Eberly, S.I., Bhave, P.V., 2007. Receptor modeling of ambient particulate matter data using positive matrix factorization: review of existing methods. Journal of the Air and Waste Management Association 57, 146-154.
30. Sarnat, J.A., Marmur, A., Klein, M., Kim, E., Russell, A.G., Sarnat, S.E., Mulholland, J.A., Hopke, P.K., Tolbert, P.E., 2008. Fine particle sources and cardiorespiratory morbidity: an application of chemical mass balance and factor analytical source-apportionment methods. Environmental Health Perspectives 116, 459-466.
31. Simoneit, B.R.T., Schauer, J.J., Nolte, C.G., Oros, D.R., Elias, V.O., Fraser, M.P., Rogge, W.F., Cass, G.R., 1999. Levoglucosan, a tracer for cellulose in biomass burning and atmospheric particles. Atmospheric Environment 33, 173-182.
32. Tian, D., Wang, Y.H., Bergin, M., Hu, Y.T., Liu, Y.Q., Russell, A.G., 2008. Air quality impacts from prescribed forest fires under different management practices. Environmental Science and Technology 42, 2767-2772.
33. Watson, J.G., Chen, L.W.A., Chow, J.C., Doraiswamy, P., Lowenthal, D.H., 2008. Source apportionment: findings from the US supersites program. Journal of the Air and Waste Management Association 58, 265-288.
34. Watson, J.G., Chow, J.C., 2001. Source characterization of major emission sources in the Imperial and Mexicali Valleys along the US/Mexico border. Science of the Total Environment 276, 33-47.
35. Watson, J.G., Chow, J.C., Houck, J.E., 2001. PM2.5 chemical source profiles for vehicle exhaust, vegetative burning, geological material, and coal burning in Northwestern Colorado during 1995. Chemosphere 43, 1141-1151.
36. Zhang, X., Hecobian, A., Zheng, M., Frank, N.H., Weber, R.J., 2010. Biomass burning impact on PM2.5 over the Southeastern US during 2007: integrating chemically speciated FRM filter measurements, MODIS fire counts and PMF analysis. Atmospheric Chemistry and Physics 10, 6839-6853.
37. Zheng, M., Cass, G.R., Ke, L., Wang, F., Schauer, J.J., Edgerton, E.S., Russell, A.G., 2007. Source apportionment of daily fine particulate matter at Jefferson street, Atlanta, GA, during summer and winter. Journal of the Air and Waste Management Association 57, 228-242.