• Title of article

    Assessment of atmospheric distribution of polycyclic aromatic hydrocarbons using a molecular structure model

  • Author/Authors

    Turk Sekuli?، نويسنده , , Maja and Okuka، نويسنده , , Marija and ?enk، نويسنده , , Nevena and Radoni?، نويسنده , , Jelena and Vojinovi? Miloradov، نويسنده , , Mirjana and Vidicki، نويسنده , , Branko، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    9
  • From page
    111
  • To page
    119
  • Abstract
    In this paper, a comparison of experimentally obtained and SPARC software v4.6 modelled values of gas/particle partitioning coefficients was conducted to determine whether the evaluation of atmospheric distribution of PAH molecules can be performed using a molecular structure model. Partitioning coefficients were calculated for sixteen EPA PAHs, in thirty-nine samples of ambient air collected at nineteen urban, industrial, highly contaminated and background sites in the Republic of Serbia and Bosnia and Herzegovina. For obtaining samples of ambient air, the conventional high volume (Hi-Vol) methodology was applied, whereby gaseous and particulate phase data collection was conducted simultaneously by glass fibre filters (GFFs) and polyurethane foam filters (PUFs). The best prediction was for PAHs with 5 or more rings (benzo(b)fluoranthene, benzo(k)fluoranthene, benzo(a)pyrene, indeno(1,2,3-cd)perylene and benzo(ghi)perylene). For evaluating the applicability of SPARC software predictions of gas/particle partitioning coefficients for the existing conditions, the results were compared with those obtained by applying other frequently used and highly ranked theoretical models of phase distributions, namely Junge–Pankow adsorption model, KOA absorption model, Dachs–Eisenreich dual model and PP-LFER model.
  • Keywords
    Urban air , gas-particle partitioning , air pollution , Molecular structure model , PAHS
  • Journal title
    Atmospheric Research
  • Serial Year
    2013
  • Journal title
    Atmospheric Research
  • Record number

    2247718