Identification and characterization of fine and coarse particulate matter sources in a middle-European urban environment

Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

Volumn 268, Issue 11-12, 2010, Pages 1924-1928

  Kertesz Zs ^a   Szoboszlai, Z ^a,b   Angyal, A ^a,b   Dobos, E ^a   Borbely Kiss I ^a  

^a INSTITUTE OF NUCLEAR RESEARCH ATOMKI   (Hungary)

^b UNIVERSITY OF DEBRECEN   (Hungary)

Author keywords

Atmospheric aerosol; PIXE; PM10; PM2.5; PMF receptor modelling; Source apportionment

Indexed keywords

BLACK CARBON; COARSE PARTICULATE MATTER; DATA BASE; DOMESTIC HEATING; ELEMENTAL CONCENTRATIONS; HUNGARY; IBA METHODS; METEOROLOGICAL PARAMETERS; OIL COMBUSTION; PARTICLE INDUCED X-RAY EMISSION; PARTICULATE MATTER; PM10; POSITIVE MATRIX FACTORIZATION; RECEPTOR MODELLING; SAHARAN DUST; SAMPLING CAMPAIGNS; SECONDARY AEROSOLS; SIZE FRACTION; SOIL DUST; SOURCE APPORTIONMENT; SULPHATES; TIME RESOLUTION; URBAN AREAS; URBAN ENVIRONMENTS;

ATMOSPHERIC THERMODYNAMICS; CHLORINE; DUST; ION BEAMS; LEAD;

ATMOSPHERIC AEROSOLS;

EID: 77953126581     PISSN: 0168583X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nimb.2010.02.103     Document Type: Article

References (28)

1. Pope C.A., Burnett R.T., Thun M.J., Calle E.E., Krewski D., Ito K., and Thurston G.D. Lung cancer, cardiopulmonary mortality and long-term exposure to fine particulate air pollution. JAMA 287 (2002) 1132-1141
2. Reichardt T. Veiching the health risk of airborne particulate matter. Environmental Science and Technology 29 (1995) 360A-364A
3. Götchi T., Heinrich J., Sunyer J., and Künzli N. Long term effects of ambient air pollution on lung function. Epidemiology 19 (2008) 690-701
4. Air Qulaity Guidelines, Global Update 2005, World Health Organization, 2006.
5. Directive 2008/50 of the European Parliament and of the Council of 21 May 2008 on ambient air quality and clean air for Europe, Official Journal of the European Union, L152.
6. M. Amman, I. Bertok, J. Cofala, F. Gyarfas, C. Heyes, Z. Klimont, W. Schöpp, W. Winiwater, Baseline Scenarios for the Clean Air for Europe (CAFÉ) Programme, Final Report, 2005, http://www.iiasa.ac.at/rains/CAFE_files/Cafe-Lot1_FINAL(Oct).pdf.
7. Hungarian Air Quality Network, http://www.kvvm.hu/olm/index.php?lang=en.
8. 10, http://ec.europa.eu/environment/air/quality/legislation/pdf/pm10_exceeda nces_2007.pdf.
9. Peel M.C., Finlayson B.L., and McMahon T.A. Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences 11 (2007) 1633-1644
10. Koltay E., Borbély-Kiss I., Kertész Zs., Kiss A.Z., and Szabó Gy. Assignment of Saharan dust sources to episodes in Hungarian atmosphere by PIXE and TOMS observations. Journal of Radioanalytical and Nuclear Chemistry 267 (2006) 449
11. PIXE International Corp., P.O. Box 7744, Tallahassee, FL 32316, USA, http://www.pixeintl.com/.
12. Borbély-Kiss I., Koltay E., László S., Szabó Gy., and Zolnai L. Experimental and theoretical calibration of a PIXE setup for K and L X-rays. Nuclear Instruments and Methods in Physics Research Section B 12 (1985) 496-504
13. Szabó Gy., and Borbély-Kiss I. PIXYKLM computer package for PIXE analyses. Nuclear Instruments and Methods in Physics Research Section B 75 (1993) 123-127
14. Szabó Gy. PIXEKLM Program, User Guide (2009), ATOMKI, Debrecen
15. Adams H.S., Nieuwenhuijsen M.J., Colvile R.N., Older M.J., and Kendall M. Atmospheric Environment 36 (2002) 5335-5342
16. Paatero P., and Tapper U. Positve matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values. Environmetrics 5 (1994) 111-126
17. Paatero P.J. The multi inear engine - a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model. Computational and Graphical Stat 8 (1999) 1-35
18. Eberly, Shelly, EPA PMF 1.1 User's Guide, US Environmental Protection Agency National Exposure Research Laboratory, Research Triangle Park, NC 27711, 2005, http://www.epa.gov/.
19. G. Norris, R. Vedantham, K. Wade, S. Brown, J. Prouty, C. Foley, M. Lockheed, EPA Positive Matrix Factorization (PMF) 3.0 Fundamentals and User Guide, EPA 600/R-08/108 July 2008, http://www.epa.gov.
20. Viana M., Kuhlbusch T.A.J., Querol X., et al. Source apportionment of particulate matter in Eurpoe: a review of methods and results. Aerosol Science 39 (2008) 827-849
21. Chan Y.C., Cohen D., Hawas O., Stelcer E., Simpson R., Denison L., Wong N., Hodge M., Comino E., and Carswell S. Apportionment of sources of fine and coarse particles in four major Australian cities by positive matrix factorisation. Atmospheric Environment 42 (2008) 374-389
22. F. Mazzei, D'Alessandro, F. Lucarelli, S. Nava, P. Prati, G. Valli, R. Vecchi, Characterization of particulate matter sources in an urban environment, Science of the Total Environment 401 (2008) 81-89.
23. A. Angyal, Zs. Kertész, Z. Szikszai, Z. Szoboszlai, Study of Cl containing urban aerosol particles by ion beam analytical methods, submitted for publication to NIMB (this volume).
24. J. Osán, B. Alföldy, Sz. Török, R. Van Grieken, Characterization of wood combustion particles using electron probe microanalysis, Atmospheric Environment 36 (2002) 2207-2214.
25. NASA TOMS observations, http://www.nasa.gov.
26. Salvador P., Artínano B., Alonso D.G., Querol X., and Alastuey A. Identification and characterization of sources of Pm10 in Madrid (Spain) by statistical methods. Atmospheric Environment 38 (2004) 435-447
27. 10 in an Italian urban area stressed by many industrial activities. Nuclear Instruments and Methods in Physics Research Section B 249 (2006) 584-587
28. 2 monitoring station, in: European Geosciences Union (EGU) General Assembly 2009, Vienna, Austria, 19-24 April, 2009, Proceedings, Geophysical Research Abstract CD-ROM 11, 2009, pp. 10271-10271.