Source contributions to primary organic aerosol: Comparison of the results of a source-resolved model and the chemical mass balance approach |
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| Institution: | 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;2. University of the Chinese Academy of Sciences, Beijing 100049, China;3. State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;4. Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, P.O.Box 64, 00014 University of Helsinki, Helsinki, Finland;5. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China;6. Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;1. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. School of Chemistry and Material Sciences, Huaibei Normal University, Huaibei 235000, China;1. School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China;2. Department of Environmental Science and Engineering, Fudan University, 220 Handan Road, Yangpu District, Shanghai 200433, China;3. Shanghai Environmental Monitor Center, 55 Sanjiang Road, Xuhui District, Shanghai 200235, China |
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| Abstract: | A source-resolved model has been developed to predict the contribution of different sources to primary organic aerosol concentrations. The model was applied to the eastern US during a 17 day pollution episode beginning on 12 July 2001. Primary organic matter (OM) and elemental carbon (EC) concentrations are tracked for eight different sources: gasoline vehicles, non-road diesel vehicles, on-road diesel vehicles, biomass burning, wood burning, natural gas combustion, road dust, and all other sources. Individual emission inventories are developed for each source and a three-dimensional chemical transport model (PMCAMx) is used to predict the primary OM and EC concentrations from each source. The source-resolved model is simple to implement and is faster than existing source-oriented models. The results of the source-resolved model are compared to the results of chemical mass balance models (CMB) for Pittsburgh and multiple urban/rural sites from the Southeastern Aerosol Research and Characterization (SEARCH) network. Significant discrepancies exist between the source-resolved model and the CMB model predictions for some of the sources. There is strong evidence that the organic PM emissions from natural gas combustion are overestimated. It also appears that the OM and EC emissions from wood burning and off-road diesel are too high in the Northeastern US. Other similarities and discrepancies between the source-resolved model and the CMB model for primary OM and EC are discussed along with problems in the current emission inventory for certain sources. |
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