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Volume 14, No. 6, October 2014, Pages 1558-1572 PDF(1.7 MB)  
doi: 10.4209/aaqr.2013.08.0281   

Sources of PM in an Industrial Area: Comparison between Receptor Model Results and Semiempirical Calculations of Source Contributions

Carmela Farao1, Silvia Canepari1,2, Cinzia Perrino2, Roy M. Harrison3

1 Department of Chemistry, Sapienza University of Rome, P.le Aldo Moro, 5, Rome, 00185, Italy
2 C.N.R. Institute of Atmospheric Pollution Research, Via Salaria, Km 29,300, Monterotondo St. (Rome), 00015, Italy
3 Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom

 

Highlights
  • We report source apportionment of PM in an industrial area (Po Valley, Italy).
  • We include the soluble and insoluble fraction of the elements in the PMF analysis.
  • Covariation of sources is due to the high atmospheric stability.
  • PMF results were compared with those obtained by a semiempirical calculation method.

Abstract

 

Source apportionment of PM10 and PM2.5 samples collected in an industrial area of the Po Valley was performed by using the Positive Matrix Factorization (PMF) model and a semiempirical calculation of five macro-source contributions. Samples were collected during four monitoring periods, January–February 2011, June 2012, January–February 2012, May–June 2012, resulting in a total of 720 samples (360 for PM10 and 360 for PM2.5). PMF variables included major elements, ions, elemental carbon and organic compounds and minor and trace elements. In order to increase the selectivity of minor and trace elements as source tracers, a chemical fractionation methodology based on the elemental solubility was employed; it was thus possible to include the extractable, the residual or both thefractions of the minor and trace elements in the database.
    PMF resolved six factors for PM10 (crustal matter, marine aerosol, industry, secondary/oil combustion, secondary nitrate/biomass burning/exhaust particles, brake/tyre wear/re-suspended road dust) and seven factors for PM2.5 (crustal matter, marine aerosol, industry, secondary nitrate, biomass burning, other secondary components, secondary sulphate/oil combustion). Mixing properties of the lower atmosphere were monitored by using natural radioactivity. The lack in the separation of some sources was shown to be due to their co-variation during periods of high atmospheric stability in the cold months. Seasonal variations of the source contributions were evaluated and discussed.
    PMF results were compared with those obtained by a semiempirical calculation method in which analytical results are grouped into five macro-sources (crustal matter, marine aerosol, secondary inorganic compounds, combustion products from vehicular emissions and organics). Although similar trends in the temporal variation of the main PM sources were obtained, the absolute magnitude of the concentrations varied in some cases, especially for crustal matter and marine aerosol sources.

 

 

Keywords: Particulate matter; Po valley; Positive matrix factorization; Macro-source calculations; Elemental fractionation.

 

 

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