Source apportionment of airborne particulate matter using organic compounds as tracers |
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| Affiliation: | 1. University of Chinese Academy of Sciences, Beijing 100049, China;2. Huairou Eco-Environmental Observatory, Chinese Academy of Sciences, Beijing 101408, China;3. Beijing Institute of Aerospace Testing Technology, Beijing 100074, China;4. Peking University, College Environmental Science & Engineering, Beijing 100871, China;5. State Key Joint Lab Environmental Simulation & Pollution Control, Beijing 100871, China;1. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;2. State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing 100084, China;3. Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China;2. State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 730000, China;3. Emory University, Atlanta, Georgia (GA), United States;4. Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, India;5. China National Environmental Monitoring Center, Beijing 100012, China;6. Chubu Institute for Advanced Studies, Chubu University, Kasugai 487-8501, Japan;7. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;8. University of Chinese Academy of Sciences, Beijing 100049, China;9. Institute of Surface-Earth System, Tianjin University, Tianjin 300072, China |
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| Abstract: | A chemical mass balance receptor model based on organic compounds has been developed that relates source contributions to airborne fine particle mass concentrations. Source contributions to the concentrations of specific organic compounds are revealed as well. The model is applied to four air quality monitoring sites in southern California using atmospheric organic compound concentration data and source test data collected specifically for the purpose of testing this model. The contributions of up to nine primary particle source types can be separately identified in ambient samples based on this method, and approximately 85% of the organic fine aerosol is assigned to primary sources on an annual average basis. The model provides information on source contributions to fine mass concentrations, fine organic aerosol concentrations and individual organic compound concentrations. The largest primary source contributors to fine particle mass concentrations in Los Angeles are found to include diesel engine exhaust, paved road dust, gasoline-powered vehicle exhaust, plus emissions from food cooking and wood smoke, with smaller contribution from tire dust, plant fragments, natural gas combustion aerosol, and cigarette smoke. Once these primary aerosol source contributions are added to the secondary sulfates, nitrates and organics present, virtually all of the annual average fine particle mass at Los Angeles area monitoring sites can be assigned to its source. |
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