Evaluation of organic markers for chemical mass balance source apportionment at the Fresno Supersite

Sources of PM2.5 at the Fresno Supersite during high PM2.5 episodes occurring from 15 December 2000-3 February 2001 were estimated with the Chemical Mass Bal- ance (CMB) receptor model. The ability of source profiles with organic markers to distinguish motor vehicle, residen- tial wood combustion (RWC), and cooking emissions was evaluated with simulated data. Organics improved the dis- tinction between gasoline and diesel vehicle emissions and allowed a more precise estimate of the cooking source con- tribution. Sensitivity tests using average ambient concen- trations showed that the gasoline vehicle contribution was not resolved without organics. Organics were not required to estimate hardwood contributions. The most important RWC marker was the water-soluble potassium ion. The es- timated cooking contribution did not depend on cholesterol because its concentrations were below the detection limit in most samples. Winter time source contributions were esti- mated by applying the CMB model to individual and average sample concentrations. RWC was the largest source, con- tributing 29-31% of measured PM2.5. Hardwood and soft- wood combustion accounted for 16-17% and 12-15%, re- spectively. Secondary ammonium nitrate and motor vehicle emissions accounted for 31-33% and 9-15%, respectively. The gasoline vehicle contribution (3-10%) was comparable to the diesel vehicle contribution (5-6%). The cooking con- tribution was 5-19% of PM2.5. Fresno source apportionment results were consistent with those estimated in previous stud- ies.

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

[2]  D. Lawson Northern Front Range Air Quality Study , 2007 .

[3]  J. Chow,et al.  Feasibility of Soil Dust Source Apportionment by the Pyrolysis-Gas Chromatography/Mass Spectrometry Method , 2006, Journal of the Air & Waste Management Association.

[4]  Judith C. Chow,et al.  PM2.5 chemical composition and spatiotemporal variability during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS) , 2006 .

[5]  J. Schauer,et al.  Spatial distribution of carbonaceous aerosol in the southeastern United States using molecular markers and carbon isotope data , 2006 .

[6]  J. Chow,et al.  Nanoparticle and Ultrafine Particle Events at the Fresno Supersite , 2006, Journal of the Air & Waste Management Association.

[7]  J. Chow,et al.  Variations of nanoparticle concentrations at the Fresno Supersite. , 2006, The Science of the total environment.

[8]  J. Chow,et al.  Comparison of Continuous and Filter-Based Carbon Measurements at the Fresno Supersite , 2006, Journal of the Air & Waste Management Association.

[9]  J. Chow,et al.  Spatial distribution of PM2.5 associated organic compounds in central California , 2006 .

[10]  L. Chen,et al.  Particulate carbon measurements in California's San Joaquin Valley. , 2006, Chemosphere.

[11]  Judith C. Chow,et al.  Refining temperature measures in thermal/optical carbon analysis , 2005 .

[12]  J. Chow,et al.  Loss of PM2.5 Nitrate from Filter Samples in Central California , 2005, Journal of the Air & Waste Management Association.

[13]  M. A. Dreyfus,et al.  Cholesterol ozonolysis: kinetics, mechanism, and oligomer products. , 2005, The journal of physical chemistry. A.

[14]  M. Hannigan,et al.  Source Contributions to the Mutagenicity of Urban Particulate Air Pollution , 2005, Journal of the Air & Waste Management Association.

[15]  L. Chen,et al.  Summary of Organic and Elemental Carbon/Black Carbon Analysis Methods and Intercomparisons , 2005 .

[16]  Barbara Zielinska,et al.  Emission Rates and Comparative Chemical Composition from Selected In-Use Diesel and Gasoline-Fueled Vehicles , 2004, Journal of the Air & Waste Management Association.

[17]  Hans Moosmüller,et al.  Equivalence of elemental carbon by thermal/optical reflectance and transmittance with different temperature protocols. , 2004, Environmental science & technology.

[18]  J S Lighty,et al.  Phase and size distribution of polycyclic aromatic hydrocarbons in diesel and gasoline vehicle emissions. , 2004, Environmental science & technology.

[19]  Hampden Kuhns,et al.  Source profiles for industrial, mobile, and area sources in the Big Bend Regional Aerosol Visibility and Observational study. , 2004, Chemosphere.

[20]  J. Schauer,et al.  The Distribution of Particle-Phase Organic Compounds in the Atmosphere and Their Use for Source Apportionment during the Southern California Children’s Health Study , 2003, Journal of the Air & Waste Management Association.

[21]  Judith C. Chow,et al.  Similarities and differences in PM10 chemical source profiles for geological dust from the San Joaquin Valley, California , 2003 .

[22]  Judith C. Chow,et al.  Soil sample collection and analysis for the Fugitive Dust Characterization Study , 2003 .

[23]  J. Chow,et al.  Emissions from Charbroiling and Grilling of Chicken and Beef , 2003, Journal of the Air & Waste Management Association.

[24]  G. Cass,et al.  Air quality model evaluation data for organics. 6. C3-C24 organic acids. , 2003, Environmental science & technology.

[25]  B. Zielińska,et al.  Characterization of ambient volatile organic compounds at the western boundary of the SCOS97-NARSTO modeling domain , 2003 .

[26]  J. Chowa,et al.  Similarities and differences in PM 10 chemical source profiles for geological dust from the San Joaquin Valley , California , 2003 .

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

[28]  Judith C. Chow,et al.  PM2.5 carbonate concentrations at regionally representative Interagency Monitoring of Protected Visual Environment sites , 2002 .

[29]  J. Chow,et al.  Particle Size Relationships at the Fresno Supersite , 2002, Journal of the Air & Waste Management Association.

[30]  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.

[31]  J. Chow,et al.  A wintertime PM2.5 episode at the Fresno, CA, supersite , 2002 .

[32]  Judith C. Chow,et al.  Comparison of IMPROVE and NIOSH Carbon Measurements , 2001 .

[33]  John M. Peters Southern California Children's Health Study , 2000 .

[34]  J. Chow,et al.  Air Quality Measurements from the Fresno Supersite , 2000, Journal of the Air & Waste Management Association.

[35]  Judith C. Chow,et al.  Fine Particle and Gaseous Emission Rates from Residential Wood Combustion , 2000 .

[36]  J. Schauer,et al.  Source Apportionment of Wintertime Gas-Phase and Particle-Phase Air Pollutants Using Organic Compounds as Tracers , 2000 .

[37]  Naresh Kumar,et al.  Spatial and temporal variations in PM10 and PM2.5 source contributions and comparison to emissions during the 1995 integrated monitoring study , 1999 .

[38]  R. Henry,et al.  Diagnostics for Determining Influential Species in the Chemical Mass Balance Receptor Model. , 1999, Journal of the Air & Waste Management Association.

[39]  Thomas W. Kirchstetter,et al.  On-Road Emissions of Particulate Polycyclic Aromatic Hydrocarbons and Black Carbon from Gasoline and Diesel Vehicles , 1998 .

[40]  J. Watson,et al.  Field program plan for the California Regional PM 2.5 /PM 10 Air Quality Study (CRPAQS) , 1998 .

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

[42]  J. Chow,et al.  Sources and chemistry of PM10 aerosol in Santa Barbara County, CA , 1996 .

[43]  J C Chow,et al.  Measurement methods to determine compliance with ambient air quality standards for suspended particles. , 1995, Journal of the Air & Waste Management Association.

[44]  Barbara J. Turpin,et al.  Investigation of organic aerosol sampling artifacts in the los angeles basin , 1994 .

[45]  Judith C. Chow,et al.  Differences in the carbon composition of source profiles for diesel- and gasoline-powered vehicles , 1994 .

[46]  Judith C. Chow,et al.  The dri thermal/optical reflectance carbon analysis system: description, evaluation and applications in U.S. Air quality studies , 1993 .

[47]  Judith C. Chow,et al.  PM10 source apportionment in California's San Joaquin valley , 1992 .

[48]  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 .

[49]  Y. Mamane,et al.  Nitrate formation on sea-salt and mineral particles—A single particle approach , 1992 .

[50]  Glen R. Cass,et al.  Sources of fine organic aerosol. 1. Charbroilers and meat cooking operations , 1991 .

[51]  Philip K. Hopke,et al.  The use of constrained least-squares to solve the chemical mass balance problem , 1989 .

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

[53]  B. Simoneit,et al.  Application of Molecular Marker Analysis to Vehicular Exhaust for Source Reconciliations , 1985 .

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

[55]  R. Patterson Aerosol Contamination from High-Volume Sampler Exhaust , 1980 .

[56]  R. B. King,et al.  Copper emissions from a high volume air sampler , 1975 .

[57]  R. Duce,et al.  Copper contamination of atmospheric particulate samples collected with Gelman hurricane air samplers , 1971 .

[58]  CP 13C – THE NATURE OF THE LOS ANGELES AEROSOL: LA NATURE DES AEROSOLS DE LOS ANGELES , 1971 .