A comparison between two receptor models to determine the source apportionment of atmospheric pollutants

Environmetrics

Volumn 17, Issue 5, 2006, Pages 507-516

  Caselli, Maurizio ^a   De Gennaro, Gianluigi ^a   Ielpo, Pierina ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

APCS; Receptor models; Source apportionment; TTFA

Indexed keywords

ATMOSPHERIC POLLUTION; DATA ACQUISITION; FACTOR ANALYSIS; POLLUTANT SOURCE; POLLUTION MONITORING;

EURASIA; EUROPE; ITALY; PUGLIA; SOUTHERN EUROPE; TARANTO;

EID: 33745969552     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.788     Document Type: Article

References (17)

1. Annegarn HJ, Braga Marcazzan GM, Cereda E, Marchionni M, Zucchiatti A. 1992. Source profiles by unique ratios (spur) analysis: determination of source profiles from receptor site streaker samples. Atmosphere Environment 26A(2): 333-343.
2. Bruno P, Caselli M, de Gennaro G, Traini A. 2001. Source apportionment of gaseous atmospheric pollutants by means of an absolute principal component scores (APCS) receptor model. Fresenius Journal of Anal Chem 371: 1119-1123.
3. Christensen WF, Sain SR. 2002. Accounting for dependence in a flexible multivariate receptor model. Technometrics 44: 328-337.
4. Currie LA, Gerlach RW, Lewis CW, Balfour WD, Cooper JA, Dattner SL, De Cesar RT. 1984. Interlaboratory comparison of source apportionment procedures: results for simulated data sets. Atmosphere Environment 18(8): 1517-1537.
5. Gleser LJ. 1997. Some thoughts on chemical mass balance models. Chemometrics and Intelligent Laboratory Systems 37: 15-22.
6. Henry RC. 1987. Current factor analysis receptor models are ill-posed. Atmospheric Environment 21: 1815-1820.
7. Henry RC. 2001. Receptor modelling. Encyclopedia of Environmetrics 3: 1706-1721.
8. Henry RC, Kim BM. 1990. Extension of self modelling curve resolution to mixtures of more than three components. Part.1: Finding the basic feasible region. Chemometrics and Intelligent Laboratory System 8: 205-216.
9. Henry RC, Lewis CW, Hopke PK, Williamson HJ. 1984. Review of receptor model fundamentals. Atmospheric Environment 18: 1507-1515.
10. Hopke PK, Song XH. 1997. The chemical mass balance as a multivariate calibration problem. Chemometrics and Intelligent Laboratory Systems 37: 5-14.
11. Hopke PK, Lamb RE, Natusch DFS. 1980. Multielemental characterization of urban roadway dust. Environmental and Science Technology 14: 164-172.
12. Hoyer PO. 2004. Non negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning Reaserch 5: 1457-1469
13. Ielpo P. 2004. Comparing between two receptor models to determine the source apportionment to the atmospheric pollution and applying to the heavy metals concentrations. In Heavy Metals and Atmospheric Particulate: Chromatographic Analysis, Electron Microscopy and Source Apportionment. PhD Thesis, University of Bari, Italy: 185-217.
14. Kim BM, Henry RC. 1999. Extension of self modelling curve resolution to mixtures of morden three components. Part II: finding the complete solution. Chemometrics and Intelligent Laboratory Systems 49: 67-77.
15. Moro G, Lasagni M, Rigamonti N, Cosentino U, Pitea D. 1997. Critical review of receptor model based on target trasformation factor analysis. Chemosphere 35: 1847-1865.
16. Thurston GD, Spengler JD. 1985. A quantitative assessment of source contributions to inhalable particulate matter pollution in metropolitan Boston. Atmospheric Environment 19: 9-25.
17. Wahlin P 2003. COPREM A multivariate receptor model with a physical approach. Atmospheric Environment 37: 4861-4867.