Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres

Yelena Y. Naumova, John H. Offenberg, Steven J. Eisenreich, Qingyu Meng, Andrea Polidori, Barbara J. Turpin, Clifford P. Weisel, Maria T. Morandi, Steven D. Colome, Thomas H. Stock, Arthur M. Winer, Shahnaz Alimokhtari, Jaymin Kwon, Silvia Maberti, Derek Shendell, Jennifer Jones, Corice Farrar

Research output: Contribution to journalArticle

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Abstract

Concentrations of polycyclic aromatic hydrocarbons (PAHs), PM2.5, and organic and elemental carbon (OC and EC) were measured in 48h integrated samples collected in the indoor and outdoor air in Los Angeles, CA, Houston, TX, and Elizabeth, NJ from July 1999 to June 2000. The objective of the study was to evaluate the hypothesis that outdoor air pollution contributed strongly to indoor air pollution. The measured partition coefficients of PAHs, Kp,meas, in the individual samples were well correlated with the compounds' sub-cooled liquid vapor pressure, pLo. Values of Kp,meas varied by about two orders of magnitude for any given value of vapor pressure. These variations in gas/particle partitioning of PAHs were higher than the estimated systematic and random error of Kp,meas and are related to the aerosol characteristics and sampling conditions. Stepwise multiple linear regression analysis (MLR) of the pooled data, which included pLo at 25°C, temperature, fOC and fEC as independent variables, explains 84.5% of the variability of the partition coefficients. This is higher than the explained variance when pLo is used as a single parameter (77.5%). The relative importance of each variable for prediction of PAH partition coefficient is determined by partial coefficients of determination. Vapor pressure at 25°C (RpoL2=0.84) and temperature (RT2=0.21) are the two most important predictors followed by fEC (RfEC2=0.12) and fOC (RfOC2=0.038). Both EC and OC carbon are important predictors of gas/particle partitioning of PAHs, with EC being a better predictor. Because EC is highly correlated with (and is a good tracer of) primary combustion-generated OC, this result suggests that PAHs more readily sorb on combustion-generated aerosol containing EC. Enrichment of the indoor aerosol in non-combustion OC suggests that sorption of PAHs is more important in the indoor air compared to the outdoor air. The MLR developed in this work will improve prediction of gas/particle partitioning of PAHs in indoor and outdoor air.

Original languageEnglish (US)
Pages (from-to)703-719
Number of pages17
JournalAtmospheric Environment
Volume37
Issue number5
DOIs
StatePublished - Feb 1 2003

Fingerprint

PAH
atmosphere
gas
vapor pressure
partition coefficient
partitioning
aerosol
regression analysis
air
combustion
particle
distribution
carbon
indoor air
prediction
atmospheric pollution
sorption
temperature
tracer
liquid

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Atmospheric Science

Keywords

  • Elemental carbon
  • Organic carbon
  • PAHs
  • Partition coefficient
  • Regression analysis

Cite this

Naumova, Y. Y., Offenberg, J. H., Eisenreich, S. J., Meng, Q., Polidori, A., Turpin, B. J., ... Farrar, C. (2003). Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres. Atmospheric Environment, 37(5), 703-719. https://doi.org/10.1016/S1352-2310(02)00820-8
Naumova, Yelena Y. ; Offenberg, John H. ; Eisenreich, Steven J. ; Meng, Qingyu ; Polidori, Andrea ; Turpin, Barbara J. ; Weisel, Clifford P. ; Morandi, Maria T. ; Colome, Steven D. ; Stock, Thomas H. ; Winer, Arthur M. ; Alimokhtari, Shahnaz ; Kwon, Jaymin ; Maberti, Silvia ; Shendell, Derek ; Jones, Jennifer ; Farrar, Corice. / Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres. In: Atmospheric Environment. 2003 ; Vol. 37, No. 5. pp. 703-719.
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abstract = "Concentrations of polycyclic aromatic hydrocarbons (PAHs), PM2.5, and organic and elemental carbon (OC and EC) were measured in 48h integrated samples collected in the indoor and outdoor air in Los Angeles, CA, Houston, TX, and Elizabeth, NJ from July 1999 to June 2000. The objective of the study was to evaluate the hypothesis that outdoor air pollution contributed strongly to indoor air pollution. The measured partition coefficients of PAHs, Kp,meas, in the individual samples were well correlated with the compounds' sub-cooled liquid vapor pressure, pLo. Values of Kp,meas varied by about two orders of magnitude for any given value of vapor pressure. These variations in gas/particle partitioning of PAHs were higher than the estimated systematic and random error of Kp,meas and are related to the aerosol characteristics and sampling conditions. Stepwise multiple linear regression analysis (MLR) of the pooled data, which included pLo at 25°C, temperature, fOC and fEC as independent variables, explains 84.5{\%} of the variability of the partition coefficients. This is higher than the explained variance when pLo is used as a single parameter (77.5{\%}). The relative importance of each variable for prediction of PAH partition coefficient is determined by partial coefficients of determination. Vapor pressure at 25°C (RpoL2=0.84) and temperature (RT2=0.21) are the two most important predictors followed by fEC (RfEC2=0.12) and fOC (RfOC2=0.038). Both EC and OC carbon are important predictors of gas/particle partitioning of PAHs, with EC being a better predictor. Because EC is highly correlated with (and is a good tracer of) primary combustion-generated OC, this result suggests that PAHs more readily sorb on combustion-generated aerosol containing EC. Enrichment of the indoor aerosol in non-combustion OC suggests that sorption of PAHs is more important in the indoor air compared to the outdoor air. The MLR developed in this work will improve prediction of gas/particle partitioning of PAHs in indoor and outdoor air.",
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Naumova, YY, Offenberg, JH, Eisenreich, SJ, Meng, Q, Polidori, A, Turpin, BJ, Weisel, CP, Morandi, MT, Colome, SD, Stock, TH, Winer, AM, Alimokhtari, S, Kwon, J, Maberti, S, Shendell, D, Jones, J & Farrar, C 2003, 'Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres', Atmospheric Environment, vol. 37, no. 5, pp. 703-719. https://doi.org/10.1016/S1352-2310(02)00820-8

Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres. / Naumova, Yelena Y.; Offenberg, John H.; Eisenreich, Steven J.; Meng, Qingyu; Polidori, Andrea; Turpin, Barbara J.; Weisel, Clifford P.; Morandi, Maria T.; Colome, Steven D.; Stock, Thomas H.; Winer, Arthur M.; Alimokhtari, Shahnaz; Kwon, Jaymin; Maberti, Silvia; Shendell, Derek; Jones, Jennifer; Farrar, Corice.

In: Atmospheric Environment, Vol. 37, No. 5, 01.02.2003, p. 703-719.

Research output: Contribution to journalArticle

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T1 - Gas/particle distribution of polycyclic aromatic hydrocarbons in coupled outdoor/indoor atmospheres

AU - Naumova, Yelena Y.

AU - Offenberg, John H.

AU - Eisenreich, Steven J.

AU - Meng, Qingyu

AU - Polidori, Andrea

AU - Turpin, Barbara J.

AU - Weisel, Clifford P.

AU - Morandi, Maria T.

AU - Colome, Steven D.

AU - Stock, Thomas H.

AU - Winer, Arthur M.

AU - Alimokhtari, Shahnaz

AU - Kwon, Jaymin

AU - Maberti, Silvia

AU - Shendell, Derek

AU - Jones, Jennifer

AU - Farrar, Corice

PY - 2003/2/1

Y1 - 2003/2/1

N2 - Concentrations of polycyclic aromatic hydrocarbons (PAHs), PM2.5, and organic and elemental carbon (OC and EC) were measured in 48h integrated samples collected in the indoor and outdoor air in Los Angeles, CA, Houston, TX, and Elizabeth, NJ from July 1999 to June 2000. The objective of the study was to evaluate the hypothesis that outdoor air pollution contributed strongly to indoor air pollution. The measured partition coefficients of PAHs, Kp,meas, in the individual samples were well correlated with the compounds' sub-cooled liquid vapor pressure, pLo. Values of Kp,meas varied by about two orders of magnitude for any given value of vapor pressure. These variations in gas/particle partitioning of PAHs were higher than the estimated systematic and random error of Kp,meas and are related to the aerosol characteristics and sampling conditions. Stepwise multiple linear regression analysis (MLR) of the pooled data, which included pLo at 25°C, temperature, fOC and fEC as independent variables, explains 84.5% of the variability of the partition coefficients. This is higher than the explained variance when pLo is used as a single parameter (77.5%). The relative importance of each variable for prediction of PAH partition coefficient is determined by partial coefficients of determination. Vapor pressure at 25°C (RpoL2=0.84) and temperature (RT2=0.21) are the two most important predictors followed by fEC (RfEC2=0.12) and fOC (RfOC2=0.038). Both EC and OC carbon are important predictors of gas/particle partitioning of PAHs, with EC being a better predictor. Because EC is highly correlated with (and is a good tracer of) primary combustion-generated OC, this result suggests that PAHs more readily sorb on combustion-generated aerosol containing EC. Enrichment of the indoor aerosol in non-combustion OC suggests that sorption of PAHs is more important in the indoor air compared to the outdoor air. The MLR developed in this work will improve prediction of gas/particle partitioning of PAHs in indoor and outdoor air.

AB - Concentrations of polycyclic aromatic hydrocarbons (PAHs), PM2.5, and organic and elemental carbon (OC and EC) were measured in 48h integrated samples collected in the indoor and outdoor air in Los Angeles, CA, Houston, TX, and Elizabeth, NJ from July 1999 to June 2000. The objective of the study was to evaluate the hypothesis that outdoor air pollution contributed strongly to indoor air pollution. The measured partition coefficients of PAHs, Kp,meas, in the individual samples were well correlated with the compounds' sub-cooled liquid vapor pressure, pLo. Values of Kp,meas varied by about two orders of magnitude for any given value of vapor pressure. These variations in gas/particle partitioning of PAHs were higher than the estimated systematic and random error of Kp,meas and are related to the aerosol characteristics and sampling conditions. Stepwise multiple linear regression analysis (MLR) of the pooled data, which included pLo at 25°C, temperature, fOC and fEC as independent variables, explains 84.5% of the variability of the partition coefficients. This is higher than the explained variance when pLo is used as a single parameter (77.5%). The relative importance of each variable for prediction of PAH partition coefficient is determined by partial coefficients of determination. Vapor pressure at 25°C (RpoL2=0.84) and temperature (RT2=0.21) are the two most important predictors followed by fEC (RfEC2=0.12) and fOC (RfOC2=0.038). Both EC and OC carbon are important predictors of gas/particle partitioning of PAHs, with EC being a better predictor. Because EC is highly correlated with (and is a good tracer of) primary combustion-generated OC, this result suggests that PAHs more readily sorb on combustion-generated aerosol containing EC. Enrichment of the indoor aerosol in non-combustion OC suggests that sorption of PAHs is more important in the indoor air compared to the outdoor air. The MLR developed in this work will improve prediction of gas/particle partitioning of PAHs in indoor and outdoor air.

KW - Elemental carbon

KW - Organic carbon

KW - PAHs

KW - Partition coefficient

KW - Regression analysis

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