Estimation of the concentrations of primary and secondary organic carbon in ambient particulate matter: Application of the CMB-Iteration method

A new method (the CMB-Iteration method) was developed and applied to estimate primary organic carbon (POC) and secondary organic carbon (SOC) concentrations in ambient particulate matter. In addition to the concentrations, this model also calculates the source contributions to POC and SOC. For each source category, the estimated source contribution is continuously calculated until the iteration minimum is achieved, i.e., the ratio of the estimated source contribution at the final step iteration to previous step iteration is less than 0.01. The application of this method is used to analyze a reported database. The result of the CMB-Iteration method is consistent with in the reported result in the literature. Additionally, synthetic datasets were analyzed using the CMB-Iteration method, and acceptable results were obtained. Finally, this method is used for a dataset collected from Taiyuan, China across different seasons (winter and summer). The calculated concentrations of SOC are 14.3 and 10.7 mg/m 3 in

[1]  S. Pandis,et al.  Simulating the formation of semivolatile primary and secondary organic aerosol in a regional chemical transport model. , 2009, Environmental science & technology.

[2]  D. Allen,et al.  Seasonal and spatial trends in primary and secondary organic carbon concentrations in southeast Texas , 2004 .

[3]  Judith C. Chow,et al.  Review of volatile organic compound source apportionment by chemical mass balance , 2001 .

[4]  Yong-liang Ma,et al.  Characteristics of carbonaceous aerosols in Beijing, China. , 2005, Chemosphere.

[5]  J. Schauer,et al.  Source apportionment of PM2.5 in the Southeastern United States using solvent-extractable organic compounds as tracers. , 2002, Environmental science & technology.

[6]  R. Gunst,et al.  Measurement error models in chemical mass balance analysis of air quality data , 2004 .

[7]  C I Davidson,et al.  Semicontinuous measurements of organic carbon and acidity during the Pittsburgh Air Quality Study: implications for acid-catalyzed organic aerosol formation. , 2006, Environmental science & technology.

[8]  Fang Zeng,et al.  Use of a nonnegative constrained principal component regression chemical mass balance model to study the contributions of nearly collinear sources. , 2009, Environmental science & technology.

[9]  L. Chen,et al.  Quantifying PM2.5 source contributions for the San Joaquin Valley with multivariate receptor models. , 2007, Environmental science & technology.

[10]  James J. Schauer,et al.  Source apportionment of airborne particulate matter using organic compounds as tracers , 1996 .

[11]  Armistead G Russell,et al.  Source Apportionment of Daily Fine Particulate Matter at Jefferson Street, Atlanta, GA, during Summer and Winter , 2007, Journal of the Air & Waste Management Association.

[12]  A. Russell,et al.  Optimization-based source apportionment of PM2.5 incorporating gas-to-particle ratios. , 2005, Environmental science & technology.

[13]  Hairong Tao,et al.  The characteristics of carbonaceous species and their sources in PM2.5 in Beijing , 2004 .

[14]  J. Chow,et al.  Spatial and seasonal variations of atmospheric organic carbon and elemental carbon in Pearl River Delta Region, China , 2004 .

[15]  Sangi Lee,et al.  Estimating uncertainties and uncertainty contributors of CMB PM2.5 source apportionment results , 2007 .

[16]  J. Offenberg,et al.  Secondary organic carbon and aerosol yields from the irradiations of isoprene and alpha-pinene in the presence of NOx and SO2. , 2006, Environmental science & technology.

[17]  David P. Baldwin,et al.  Aerosol Mass Measurement and Solution Standard Additions for Quantitation in Laser Ablation-Inductively Coupled Plasma Atomic Emission Spectrometry , 1994 .

[18]  Michael J. Kleeman,et al.  MEASUREMENT OF EMISSIONS FROM AIR POLLUTION SOURCES. 2. C1 THROUGH C30 ORGANIC COMPOUNDS FROM MEDIUM DUTY DIESEL TRUCKS , 1999 .

[19]  Contemporary or fossil origin: split of estimated secondary organic carbon in the southeastern United States. , 2008, Environmental science & technology.

[20]  A. Russell,et al.  Comparison of SOC estimates and uncertainties from aerosol chemical composition and gas phase data in Atlanta , 2010 .

[21]  Judith C. Chow,et al.  Source Apportionment: Findings from the U.S. Supersites Program , 2008, Journal of the Air & Waste Management Association.

[22]  Judith C. Chow,et al.  Evaluation of organic markers for chemical mass balance source apportionment at the Fresno Supersite , 2006 .

[23]  J. Seinfeld,et al.  Secondary organic aerosol formation and transport , 1992 .

[24]  Tan Zhu,et al.  Receptor modeling application framework for particle source apportionment. , 2002, Chemosphere.

[25]  Sheldon Landsberger,et al.  Elemental analysis of airborne particles , 1999 .

[26]  Sangi Lee,et al.  Ensemble-trained PM2.5 source apportionment approach for health studies. , 2009, Environmental science & technology.

[27]  A. Russell,et al.  Roadside, urban, and rural comparison of primary and secondary organic molecular markers in ambient PM2.5. , 2009, Environmental science & technology.

[28]  S. Pandis,et al.  Predicted secondary organic aerosol concentrations from the oxidation of isoprene in the eastern United States. , 2007, Environmental science & technology.

[29]  Judith C. Chow,et al.  The effects of collinearity on the ability to determine aerosol contributions from diesel- and gasoline-powered vehicles using the Chemical Mass Balance model , 1992 .

[30]  James F. Pankow,et al.  Review and comparative analysis of the theories on partitioning between the gas and aerosol particulate phases in the atmosphere , 1987 .

[31]  P. Bhave,et al.  Seasonal and regional variations of primary and secondary organic aerosols over the continental United States: semi-empirical estimates and model evaluation. , 2007, Environmental science & technology.

[32]  M. Pujadas,et al.  Estimation of secondary organic aerosol formation from semi-continuous OC–EC measurements in a Madrid suburban area , 2006 .

[33]  Sangi Lee,et al.  Source Apportionment of Fine Particulate Matter in the Southeastern United States , 2007, Journal of the Air & Waste Management Association.

[34]  Roy M. Harrison,et al.  Carbonaceous aerosol in urban and rural European atmospheres: estimation of secondary organic carbon concentrations , 1999 .

[35]  C. Seigneur,et al.  Modeling secondary organic aerosol formation via multiphase partitioning with molecular data. , 2006, Environmental science & technology.

[36]  L. Carvalho,et al.  Monitoring of the ultrasonic irradiation effect on the extraction of airborne particulate matter by ion chromatography , 1995 .

[37]  H. Javitz,et al.  Performance of the chemical mass balance model with simulated local-scale aerosols , 1988 .

[38]  J. Schauer,et al.  Primary and secondary contributions to ambient PM in the midwestern United States. , 2008, Environmental science & technology.

[39]  J. Chow,et al.  Characterization of chemical species in PM2.5 and PM10 aerosols in Hong kong , 2003 .

[40]  Yuqiu Wang,et al.  Source apportionment of PM10 in six cities of northern China , 2007 .

[41]  J. Seinfeld,et al.  Gas/Particle Partitioning and Secondary Organic Aerosol Yields , 1996 .

[42]  Min Hu,et al.  Size-segregated particulate chemical composition in Xinken, Pearl River Delta, China: OC/EC and organic compounds , 2008 .

[43]  Judith C. Chow,et al.  Chemical mass balance source apportionment for combined PM2.5 measurements from U.S. non-urban and urban long-term networks☆ , 2010 .

[44]  John G. Watson,et al.  The effective variance weighting for least squares calculations applied to the mass balance receptor model , 1984 .