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Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere

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Abstract

This study reports source apportionment of polycyclic aromatic hydrocarbons (PAHs) in particulate depositions on vegetation foliages near highway in the urban environment of Lucknow city (India) using the principal components analysis/absolute principal components scores (PCA/APCS) receptor modeling approach. The multivariate method enables identification of major PAHs sources along with their quantitative contributions with respect to individual PAH. The PCA identified three major sources of PAHs viz. combustion, vehicular emissions, and diesel based activities. The PCA/APCS receptor modeling approach revealed that the combustion sources (natural gas, wood, coal/coke, biomass) contributed 19–97% of various PAHs, vehicular emissions 0–70%, diesel based sources 0–81% and other miscellaneous sources 0–20% of different PAHs. The contributions of major pyrolytic and petrogenic sources to the total PAHs were 56 and 42%, respectively. Further, the combustion related sources contribute major fraction of the carcinogenic PAHs in the study area. High correlation coefficient (R 2 > 0.75 for most PAHs) between the measured and predicted concentrations of PAHs suggests for the applicability of the PCA/APCS receptor modeling approach for estimation of source contribution to the PAHs in particulates.

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Authors and Affiliations

  1. Environmental Chemistry Division, Industrial Toxicology Research Centre, Post Box 80, Mahatma Gandhi Marg, Lucknow, 226 001, India

    Kunwar P. Singh, Amrita Malik & Ranjan Kumar

  2. AAI – DU, Allahabad, India

    Puneet Saxena

  3. National Botanical Research Institute, Lucknow, India

    Sarita Sinha

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  1. Kunwar P. Singh
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  2. Amrita Malik
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  3. Ranjan Kumar
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  4. Puneet Saxena
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  5. Sarita Sinha
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Correspondence to Kunwar P. Singh.

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Singh, K.P., Malik, A., Kumar, R. et al. Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere. Environ Monit Assess 136, 183–196 (2008). https://doi.org/10.1007/s10661-007-9674-6

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  • DOI: https://doi.org/10.1007/s10661-007-9674-6

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