Synergistic use of several receptor models (CMB, APCS and PMF) to interpret air quality data

Environmetrics

Volumn 22, Issue 6, 2011, Pages 789-797

  Andriani, E ^a   Caselli, M ^a   de Gennaro, G ^a   Giove, A ^b   Tortorella, C ^b  

^a UNIVERSITY OF BARI   (Italy)

^b ENEL   (Italy)

Author keywords

PM; Receptor models; Source apportionment

Indexed keywords

AEROSOL COMPOSITION; AIR MASS; AIR QUALITY; AIR SAMPLING; ATMOSPHERIC POLLUTION; CHEMICAL MASS BALANCE; PARTICULATE MATTER; PRINCIPAL COMPONENT ANALYSIS;

CIVITAVECCHIA; ITALY; LAZIO; ROMA [LAZIO];

EID: 80052584409     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.1120     Document Type: Article

References (27)

1. Almeida SM, Pio CA, Freitas MC, Reis MA, Trancoso MA. 2005. Source apportionment of fine and coarse particulate matter in a sub-urban area at the Western European Coast. Atmospheric Environment 39: 3127-3138.
2. Amodio M, Bruno P, Caselli M, de Gennaro G, Dambruoso PR, Daresta BE, Ielpo P, Gungolo F, Placentino CM, Paolillo V, Tutino M. 2008. Chemical characterization of fine particulate matter during peak PM10 episodes in Apulia (South Italy). Atmospheric Research 90: 313-325.
3. Amodio M, Andriani E, Cafagna I, Caselli M, Daresta BE, de Gennaro G, Di Gilio A, Placentino CM, Tutino M. 2010. A statistical investigation about sources of PM in South Italy. Atmospheric Research 98: 207-218.
4. 10 data collected in a site of South Italy: results and comparison with APCS model. Current Analytical Chemistry 6: 19-25.
5. Birch ME, Cary AM. 1996. Aerosol Science and Technology, Vol. 25: Elemental Carbon-Based Method for Monitoring Occupational Exposures to Particulate Diesel Exhaust, Elsevier Science Inc.
6. Bruno P, Caselli M, de Gennaro G, Ielpo P, Daresta BE, Dambruoso PR, Paolillo V, Placentino CM, Trizio L. 2008. Application of receptor models to airborne particulate matter. Microchemical Journal 88: 121-129.
7. Callen MS, de la Cruz MT, Lopez JM, Navarro MV, Mastral AL. 2009. Comparison of receptor models for source apportionment of the PM10 in Zaragoza (Spain). Chemosphere 76: 1120-1129.
8. Caselli M, de Gennaro G, Ielpo P. 2006. A comparison between two receptor models to determine the source apportionment of atmospheric pollutants. Environmetrics 17(5): 507-516.
9. Chavent M, Guéguan H, Kuentz V, Patouille B, Saracco J. 2009. PCA and PMF based methodology for air pollution sources identification and apportionment. Environmetrics 20(8): 928-942.
10. Englert N. 2004. Fine particles and human healt - a review of epidemiological studies. Toxicology Letters 149(1-3): 235-242.
11. Forbes L, Patel MD, Rudnicka AR, Cook DG, Bush T, Stedman JR, Strachan DP, Anderson HR. 2009. Chronic exposure to outdoor air pollution and diagnosed cardiovascular disease: meta-analysis of three large cross-sectional surveys. Environmental Health 8: 30.
12. 10 and TSP in residential and industrial sites of an urban region of Kolkata, India. Journal of Hazardous Materials 142: 279-287.
13. Henry RC, Lewis CW, Hopke PK, Williamson HJ. 1984. Review of receptor model fundaments. Atmospheric Environment 18(8): 1507-1515.
14. Hopke PK. 2003. Recent developments in receptor modeling. Journal of Chemometrics 17(5): 255-265.
15. Hoyer PO. 2004. Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 5: 1457-1469.
16. Lee S, Liu W, Wang Y, Russel AG, Edgerton ES. 2008. Source apportionment of PM2.5: comparing PMF and CMB results for four ambient monitoring sites in the southeastern United States. Atmospheric Environment 42(18): 4126-4137.
17. Lestari P, Mauliadi YD. 2009. Source apportionment of particulate matter at urban mixed site in Indonesia using PMF. Atmospheric Environment 43: 1760-1770.
18. Li Z, Hopke PK, Husain L, Qureshi S, Dutkiewicz VA, Schwab JJ, Drewnick F, Demerjian KL. 2004. Sources of fine particle composition in New York city. Atmospheric Environment 38: 6521-6529.
19. Liu W, Wang Y, Russell A, Edgerton ES. 2005. Atmospheric aerosol over two urban-rural pairs in the southeastern United States: chemical composition and possible sources. Atmospheric Environment 39: 4453-4470.
20. Metzger KB, Tolbert PE, Klein M, Peel JL, Flanders WD, Todd K, Mulholland JA, Ryan PB, Frumkin H. 2004. Ambient air pollution and cardiovascular emergency department visits. Epidemiology 15(1): 46-56.
21. Nicolas J, Chiari M, Crespo J, Orellana IG, Lucarelli F, Nava S, Pastor C, Tubero E. 2008. Quantification of Saharan and local dust impact in an arid Mediterranean area by the positive matrix factorization (PMF) technique. Atmospheric Environment 42: 8872-8882.
22. Paatero P. 1997. Least square formulation of robust non-negative factor analysis. Chemometrics and Intelligent Laboratory Systems 37(1): 23-25.
23. 2.5 source apportionment in the Barcelona Metropolitan area, Catalonia, Spain. Atmospheric Environment 35: 6407-6419.
24. Reich BJ, Fuentes M, Burke J. 2009. Analysis of the effects of ultrafine particulate matter while accounting for human exposure. Environmetrics 20: 131-146.
25. Sosa ER, Bravo AH, Mugica AV, Sanchez AP, Bueno LE, Krupa S. 2009. Levels and source apportionment of volatile organic compounds in southwestern area of Mexico City. Environmental Pollution 157(3): 1038-1044.
26. USEPA SPECIATE 3.2 database. 2002. Available at.
27. Thurston GD, Spengler JD. 1985. A quantitative assessment of source contributions to inhalable particulate matter pollution in metropolitan Boston. Atmospheric Environment 19(1): 9-25.