Receptor modeling for source apportionment of polycyclic aromatic hydrocarbons in urban atmosphere |
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Authors: | Kunwar P Singh Amrita Malik Ranjan Kumar Puneet Saxena Sarita Sinha |
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Institution: | (1) Environmental Chemistry Division, Industrial Toxicology Research Centre, Post Box 80, Mahatma Gandhi Marg, Lucknow, 226 001, India;(2) AAI – DU, Allahabad, India;(3) National Botanical Research Institute, Lucknow, India |
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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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Keywords: | Source apportionment Polycyclic aromatic hydrocarbons Particulates Vegetation foliage PCA/APCS Multiple linear regression Receptor modeling |
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