Classification and modeling of different fractions of aerosol monitoring data

Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering

Volumn 46, Issue 2, 2011, Pages 157-169

  Tsakovski, Stefan ^a   Simeonova, Pavlina ^b   Simeonov, Vasil ^a  

^a UNIVERSITY OF SOFIA   (Bulgaria)

^b INSTITUTE OF SOLID STATE PHYSICS   (Bulgaria)

Author keywords

Aerosol; Classification; Four way Tucker method; Fraction; Modeling; SOM

Indexed keywords

AEROSOL MONITORING; AUSTRIA; CHEMOMETRIC DATA; DATA SETS; FOUR-WAY TUCKER METHOD; FRACTION; HUMAN HEALTH; KOHONEN; SAMPLING POINTS; SLOVENIA; SOM; SPECIFIC EFFECTS; ULTRAFINE PARTICLE;

AEROSOLS; ATMOSPHERIC AEROSOLS; CONFORMAL MAPPING; MODELS; SEPARATION;

CLASSIFICATION (OF INFORMATION);

CALCIUM; CARBON; COPPER; IRON; LEAD; MAGNESIUM; MANGANESE; POTASSIUM; SODIUM; VANADIUM; ZINC;

AEROSOL; AIR POLLUTION; ARTICLE; AUSTRIA; AUTUMN; CHEMICAL ANALYSIS; CHEMICAL PARAMETERS; CHEMOMETRIC ANALYSIS; FOUR WAY TUCKER MODEL; MODEL; NONHUMAN; PARTICLE SIZE; SELF ORGANIZING MAP; SLOVENIA; SPRING; SUMMER; WINTER; AIR POLLUTANT; ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMICAL MODEL; CHEMISTRY; ENVIRONMENTAL MONITORING; SEASON;

AEROSOLS; AIR POLLUTANTS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUSTRIA; ENVIRONMENTAL MONITORING; MODELS, CHEMICAL; PARTICLE SIZE; SEASONS; SLOVENIA;

EID: 79955017536     PISSN: 10934529     EISSN: 15324117     Source Type: Journal    
DOI: 10.1080/10934529.2011.532427     Document Type: Article

References (18)

1. Bro,R. PARAFAC.Tutorial and applications.Chemom. Intell. Lab. Syst. 1997, 38, 149-171.
2. Faber, N.; Bro, R.; Hopke, P. Recent developments in CONDECOMP/ PARAFAC algorithms: A critical review. Chemom. Intell. Lab. Syst. 2003, 65, 19-137.
3. Kiers, H.; Ten Berge, J.; Bro, R. PARAFAC2-PART I. A direct fitting algorithm for the PARAFAC2 model. J. Chemom. 1999, 13, 275-294.
4. Bro, R.; Anderson, C.A.; Kiers, H.A.L. PARAFAC2-Part II,Modeling chromatographic data with retention time shifts. J. Chemom. 1999, 13, 295-309.
5. Henrion, R. N-way principal component analysis. Theory, algorithms and applications. Chemom. Intell. Lab. Syst. 1994, 25, 1-23. (Pubitemid 24306852)
6. Geladi, P. Analysis of multi-way (multi-mode) data. Chemom. Intell. Lab. Syst. 1989, 7, 11-30. (Pubitemid 20010591)
7. Andersson, C.; Bro, R. Improving the speed of multi-way algorithms. Part I:Tucker 3. Chemom. Intell. Lab. Syst. 1998, 42, 93-103. (Pubitemid 28440364)
8. Andersson, C.; Bro, R. Improving the speed of multi-way algorithms. Part II: Compression. Chemom. Intell. Lab. Syst. 1998, 42, 105-113. (Pubitemid 28440365)
9. Barbieri, P.; Andersson,C.A; Massart,D.L.; Predonzani, S.; Adami, G.; Reisenhofer, E. Modeling bio-geochemical interactions in the surface waters of the Gulf of Trieste by three-way principal component analysis (PCA). Anal. Chim. Acta 1999, 398, 227-235. (Pubitemid 29472477)
10. Barbieri, P.; Adami, G.; Piselli, P.; Gemiti, F.; Reisenhofer, E. A three-way principal factor analysis for assessing the time variability of freshwaters related to a municipal water supply. Chemom. Intell. Lab. Syst. 2002, 62, 89-100. (Pubitemid 34234821)
11. Stanimirova, I.; Zehl, K.;Massart,D.L.; VanderHeyden, Y.; Einax, J. Chemometric analysis of soil pollution data using the Tucker Nway method. Anal. Bioanal. Chem. 2006, 385, 771-779. (Pubitemid 43846751)
12. Berner, A. Ein fuenfstufiger Kaskadenimpaktor zur Messung der Massegroessenverteilung von Aerosolen. Chem. Ing. Techn. 1978, 50, 399-402.
13. Puxbaum, H.; Rendl, J. Ein automatisches Analysatorsystem zur Bestimmung von Kohlenstoff und Schweffel in luftgetragenen Staeuben. Microchim. Acta, 1983, 263-272. (Pubitemid 13165493)
14. Lavric, T. Composition and Sources of Aerosols (PM10) in the border Region Carynthia - Slovenia - Italy. Ph.D. Thesis, Technical University of Vienna, Vienna, 2002.
15. Kohonen, T. Self-Organizing Maps. Springer, New York 2001.
16. Simeonov, V.; Tsakovski, S.; Lavric, T.; Simeonova, P.; Puxbaum, H. Multivariate statistical assessment of air quality. A case study. Microchim. Acta. 2004, 148, 293-298. (Pubitemid 40109975)
17. Caseiro, A.; Bauer, H.; Schmidl, C.; Pio, C.; Puxbaum, H. Wood burning impact on PM10 in threeAustrian regions.Atmos. Environ. 2009, 43, 2186-2195.
18. Simeonov, V.; Kalina, M.; Tsakovski, S.; Puxbaum, H. Multivariate statistical study of simultaneously monitored cloud water, aerosol and rainwater data from different elevation levels in an alpine valley (Achenkirch, Tyrol, Austria). Talanta 2003, 61, 519-523.