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Yang M, Li F, Huang C, Tong L, Dai X, Xiao H. VOC characteristics and their source apportionment in a coastal industrial area in the Yangtze River Delta, China. J Environ Sci (China) 2023; 127:483-494. [PMID: 36522079 DOI: 10.1016/j.jes.2022.05.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 06/17/2023]
Abstract
Volatile organic compounds (VOCs) are important precursors of secondary organic compounds and ozone, which raise major environmental concerns. To investigate the VOC emission characteristics, measurements of VOCs based on proton transfer reaction-mass spectrometry during 2017 were conducted in a coastal industrial area in Ningbo, Zhejiang Province, China. Based on seasonal variation in species concentration, the positive matrix factorization (PMF) receptor model was applied to apportion the sources of VOCs in each season. The PMF results revealed that unknown acetonitrile source, paint solvent, electronics industry, biomass burning, secondary formation and biogenic emission were mainly attributed to VOC pollution. Biomass burning and secondary formation were the major sources of VOCs and contributed more than 70% of VOC emissions in spring and autumn. Industry-related sources contributed 8.65%-31.2% of the VOCs throughout the year. The unknown acetonitrile source occurred in winter and spring, and contributed 7.6%-43.73% of the VOC emissions in the two seasons. Conditional probability function (CPF) analysis illustrated that the industry sources came from local emission, while biomass burning and biogenic emission mainly came from the northwest direction. The potential source contribution function (PSCF) model showed that secondary formation-related source was mainly from Jiangsu Province, northeastern China and the surrounding ocean. The potential source areas of unknown acetonitrile source were northern Zhejiang Province, southern Jiangsu Province and the northeastern coastal marine environments.
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Affiliation(s)
- Mengrong Yang
- Center for Excellence in Regional Atmospheric Environment & Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun) Zhongke Haixi Industrial Technology Innovation Center, Ningbo 315800, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fengxia Li
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Humboldtallee 23, 37073 Göttingen, Germany; Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, von-Siebold-Straße 3a, 37075, Göttingen, Germany
| | - Cenyan Huang
- College of Biological and Environmental Sciences, Zhejiang Wanli University, Ningbo 315100, China
| | - Lei Tong
- Center for Excellence in Regional Atmospheric Environment & Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun) Zhongke Haixi Industrial Technology Innovation Center, Ningbo 315800, China
| | - Xiaorong Dai
- Center for Excellence in Regional Atmospheric Environment & Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun) Zhongke Haixi Industrial Technology Innovation Center, Ningbo 315800, China.
| | - Hang Xiao
- Center for Excellence in Regional Atmospheric Environment & Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, Ningbo (Beilun) Zhongke Haixi Industrial Technology Innovation Center, Ningbo 315800, China.
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2
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Ling Z, He Z, Wang Z, Shao M, Wang X. Sources of methacrolein and methyl vinyl ketone and their contributions to methylglyoxal and formaldehyde at a receptor site in Pearl River Delta. J Environ Sci (China) 2019; 79:1-10. [PMID: 30784434 DOI: 10.1016/j.jes.2018.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 11/22/2018] [Accepted: 12/06/2018] [Indexed: 06/09/2023]
Abstract
Methacrolein (MACR) and methyl vinyl ketone (MVK) are two major intermediate products from the photochemical oxidation of isoprene, the most important biogenic volatile organic compound. In addition, MACR and MVK have primary emissions. Investigating the sources and evolution of MACR and MVK could provide helpful information for the oxidative capacity of the atmosphere. In this study, hourly measurements of isoprene, MACR, and MVK were conducted at a receptor site in the Pearl River Delta region (PRD), i.e., the Heshan site (HS), from 22 October to 20 November, 2014. The average mixing ratios of isoprene, MACR and MVK were 151 ± 17, 91 ± 6 and 79 ± 6 pptv, respectively. The daily variations and the ratios of MVK/MACR during daytime and nighttime suggested that other sources besides isoprene photooxidation influenced the MACR and MVK abundances at the HS. Positive matrix factorization was utilized to resolve the sources of MACR and MVK. Five sources were identified and quantified, including biogenic emissions, biomass burning, secondary formation, diesel, and gasoline vehicular emissions. Among them, secondary formation made the greatest contribution to observed MACR and MVK with average contributions of ~45% and ~70%, respectively. Through the yields of secondary products from the oxidation of MACR and MVK by the OH radical and the concentrations of MACR and MVK, it was found that methylglyoxal and formaldehyde were the main oxidation products of MACR and MVK at the HS site. Overall, this study evaluated the roles of primary emissions on ambient levels of MACR and MVK and advanced the understanding of photochemical oxidation of MACR and MVK in the PRD.
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Affiliation(s)
- Zhenhao Ling
- School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, China
| | - Zhuoran He
- School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, China
| | - Zhe Wang
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China.
| | - Min Shao
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Xuemei Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China.
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3
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Wolfe GM, Kaiser J, Hanisco TF, Keutsch FN, de Gouw JA, Gilman JB, Graus M, Hatch CD, Holloway J, Horowitz LW, Lee BH, Lerner BM, Lopez-Hilifiker F, Mao J, Marvin MR, Peischl J, Pollack IB, Roberts JM, Ryerson TB, Thornton JA, Veres PR, Warneke C. Formaldehyde production from isoprene oxidation across NO x regimes. ATMOSPHERIC CHEMISTRY AND PHYSICS 2016; 16:2597-2610. [PMID: 29619046 PMCID: PMC5879783 DOI: 10.5194/acp-16-2597-2016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The chemical link between isoprene and formaldehyde (HCHO) is a strong, non-linear function of NOx (= NO + NO2). This relationship is a linchpin for top-down isoprene emission inventory verification from orbital HCHO column observations. It is also a benchmark for overall photochemical mechanism performance with regard to VOC oxidation. Using a comprehensive suite of airborne in situ observations over the Southeast U.S., we quantify HCHO production across the urban-rural spectrum. Analysis of isoprene and its major first-generation oxidation products allows us to define both a "prompt" yield of HCHO (molecules of HCHO produced per molecule of freshly-emitted isoprene) and the background HCHO mixing ratio (from oxidation of longer-lived hydrocarbons). Over the range of observed NOx values (roughly 0.1 - 2 ppbv), the prompt yield increases by a factor of 3 (from 0.3 to 0.9 ppbv ppbv-1), while background HCHO increases by a factor of 2 (from 1.6 to 3.3 ppbv). We apply the same method to evaluate the performance of both a global chemical transport model (AM3) and a measurement-constrained 0-D steady state box model. Both models reproduce the NOx dependence of the prompt HCHO yield, illustrating that models with updated isoprene oxidation mechanisms can adequately capture the link between HCHO and recent isoprene emissions. On the other hand, both models under-estimate background HCHO mixing ratios, suggesting missing HCHO precursors, inadequate representation of later-generation isoprene degradation and/or under-estimated hydroxyl radical concentrations. Detailed process rates from the box model simulation demonstrate a 3-fold increase in HCHO production across the range of observed NOx values, driven by a 100% increase in OH and a 40% increase in branching of organic peroxy radical reactions to produce HCHO.
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Affiliation(s)
- G. M. Wolfe
- Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, USA
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - J. Kaiser
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - T. F. Hanisco
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - F. N. Keutsch
- School of Engineering and Applied Sciences and Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - J. A. de Gouw
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J. B. Gilman
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - M. Graus
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - C. D. Hatch
- Department of Chemistry, Hendrix College, Conway, AR, USA
| | - J. Holloway
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - L. W. Horowitz
- NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
| | - B. H. Lee
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - B. M. Lerner
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - F. Lopez-Hilifiker
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - J. Mao
- NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
- Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ
| | - M. R. Marvin
- Department of Chemistry, University of Maryland, College Park, MD, USA
| | - J. Peischl
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - I. B. Pollack
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J. M. Roberts
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - T. B. Ryerson
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J. A. Thornton
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - P. R. Veres
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - C. Warneke
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
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4
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Wolfe GM, Kaiser J, Hanisco TF, Keutsch FN, de Gouw JA, Gilman JB, Graus M, Hatch CD, Holloway J, Horowitz LW, Lee BH, Lerner BM, Lopez-Hilifiker F, Mao J, Marvin MR, Peischl J, Pollack IB, Roberts JM, Ryerson TB, Thornton JA, Veres PR, Warneke C. Formaldehyde production from isoprene oxidation across NO x regimes. ATMOSPHERIC CHEMISTRY AND PHYSICS 2016. [PMID: 29619046 DOI: 10.5194/acp-16-2597-] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The chemical link between isoprene and formaldehyde (HCHO) is a strong, non-linear function of NOx (= NO + NO2). This relationship is a linchpin for top-down isoprene emission inventory verification from orbital HCHO column observations. It is also a benchmark for overall photochemical mechanism performance with regard to VOC oxidation. Using a comprehensive suite of airborne in situ observations over the Southeast U.S., we quantify HCHO production across the urban-rural spectrum. Analysis of isoprene and its major first-generation oxidation products allows us to define both a "prompt" yield of HCHO (molecules of HCHO produced per molecule of freshly-emitted isoprene) and the background HCHO mixing ratio (from oxidation of longer-lived hydrocarbons). Over the range of observed NOx values (roughly 0.1 - 2 ppbv), the prompt yield increases by a factor of 3 (from 0.3 to 0.9 ppbv ppbv-1), while background HCHO increases by a factor of 2 (from 1.6 to 3.3 ppbv). We apply the same method to evaluate the performance of both a global chemical transport model (AM3) and a measurement-constrained 0-D steady state box model. Both models reproduce the NOx dependence of the prompt HCHO yield, illustrating that models with updated isoprene oxidation mechanisms can adequately capture the link between HCHO and recent isoprene emissions. On the other hand, both models under-estimate background HCHO mixing ratios, suggesting missing HCHO precursors, inadequate representation of later-generation isoprene degradation and/or under-estimated hydroxyl radical concentrations. Detailed process rates from the box model simulation demonstrate a 3-fold increase in HCHO production across the range of observed NOx values, driven by a 100% increase in OH and a 40% increase in branching of organic peroxy radical reactions to produce HCHO.
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Affiliation(s)
- G M Wolfe
- Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, USA
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - J Kaiser
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - T F Hanisco
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - F N Keutsch
- School of Engineering and Applied Sciences and Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - J A de Gouw
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J B Gilman
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - M Graus
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - C D Hatch
- Department of Chemistry, Hendrix College, Conway, AR, USA
| | - J Holloway
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - L W Horowitz
- NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
| | - B H Lee
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - B M Lerner
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - F Lopez-Hilifiker
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - J Mao
- NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
- Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ
| | - M R Marvin
- Department of Chemistry, University of Maryland, College Park, MD, USA
| | - J Peischl
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - I B Pollack
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J M Roberts
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - T B Ryerson
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - J A Thornton
- Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
| | - P R Veres
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
| | - C Warneke
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA
- Chemical Sciences Division, NOAA Earth System Research Laboratory, Boulder, CO, USA
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5
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Fischer EV, Jacob DJ, Yantosca RM, Sulprizio MP, Millet DB, Mao J, Paulot F, Singh HB, Roiger A, Ries L, Talbot R, Dzepina K, Pandey Deolal S. Atmospheric peroxyacetyl nitrate (PAN): a global budget and source attribution. ATMOSPHERIC CHEMISTRY AND PHYSICS 2014; 14:2679-2698. [PMID: 33758588 PMCID: PMC7983850 DOI: 10.5194/acp-14-2679-2014] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Peroxyacetyl nitrate (PAN) formed in the atmospheric oxidation of non-methane volatile organic compounds (NMVOCs) is the principal tropospheric reservoir for nitrogen oxide radicals (NOx = NO + NO2). PAN enables the transport and release of NOx to the remote troposphere with major implications for the global distributions of ozone and OH, the main tropospheric oxidants. Simulation of PAN is a challenge for global models because of the dependence of PAN on vertical transport as well as complex and uncertain NMVOC sources and chemistry. Here we use an improved representation of NMVOCs in a global 3-D chemical transport model (GEOS-Chem) and show that it can simulate PAN observations from aircraft campaigns worldwide. The immediate carbonyl precursors for PAN formation include acetaldehyde (44% of the global source), methylglyoxal (30 %), acetone (7 %), and a suite of other isoprene and terpene oxidation products (19 %). A diversity of NMVOC emissions is responsible for PAN formation globally including isoprene (37 %) and alkanes (14 %). Anthropogenic sources are dominant in the extratropical Northern Hemisphere outside the growing season. Open fires appear to play little role except at high northern latitudes in spring, although results are very sensitive to plume chemistry and plume rise. Lightning NOx is the dominant contributor to the observed PAN maximum in the free troposphere over the South Atlantic.
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Affiliation(s)
- E. V. Fischer
- Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
| | - D. J. Jacob
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - R. M. Yantosca
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - M. P. Sulprizio
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - D. B. Millet
- Department of Soil, Water and Climate, University of Minnesota, St. Paul, MN, USA
| | - J. Mao
- Princeton University, GFDL, Princeton, NJ, USA
| | - F. Paulot
- Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
| | - H. B. Singh
- NASA Ames Research Center, Moffett Field, CA, USA
| | - A. Roiger
- Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
| | - L. Ries
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
| | - R.W. Talbot
- Federal Environment Agency, GAW Global Station Zugspitze/Hohenpeissenberg, Zugspitze, Germany
| | - K. Dzepina
- Department of Chemistry, Michigan Technological University, Houghton, MI, USA
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Guo H, Ling ZH, Simpson IJ, Blake DR, Wang DW. Observations of isoprene, methacrolein (MAC) and methyl vinyl ketone (MVK) at a mountain site in Hong Kong. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/2012jd017750] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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Park C, Schade GW, Boedeker I. Characteristics of the flux of isoprene and its oxidation products in an urban area. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2011jd015856] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Changhyoun Park
- Atmospheric Sciences; Texas A&M University; College Station Texas USA
- Joint Institute for Regional Earth System Science and Engineering; University of California; Los Angeles California USA
| | - Gunnar W. Schade
- Atmospheric Sciences; Texas A&M University; College Station Texas USA
| | - Ian Boedeker
- Atmospheric Sciences; Texas A&M University; College Station Texas USA
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Liu Y, Shao M, Kuster WC, Goldan PD, Li X, Lu S, de Gouw JA. Source identification of reactive hydrocarbons and oxygenated VOCs in the summertime in Beijing. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2009; 43:75-81. [PMID: 19209587 DOI: 10.1021/es801716n] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
It is important to identify the sources of reactive volatile organic compounds (VOCs) in Beijing for effective ground-level ozone abatement. In this paper, semihourly measurements of hydrocarbons and oxygenated VOCs (OVOCs) were taken at an urban site in Beijing in August2005. C2-C5 alkenes, isoprene, and C1-C3 aldehydes were determined as "key reactive species" by their OH loss rates. Principal component analysis (PCA) was used to define the major sources of reactive species and to classify the dominant air mass types at the sampling site. Vehicle exhaust was the largest contributor to reactive alkenes. More aged air masses with enriched OVOCs traveled mainly from the east or southeast of Beijing. The OVOC sources were estimated by a least-squares fit approach and included primary emissions, secondary sources, and background. Approximately half of the C1-C3 aldehydes were attributed to secondary sources, while regional background accounted for 21-23% of the mixing ratios of aldehydes. Primary anthropogenic emissions were comparable to biogenic contributions (10-16%).
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Affiliation(s)
- Ying Liu
- State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
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Roberts JM, Marchewka M, Bertman SB, Sommariva R, Warneke C, de Gouw J, Kuster W, Goldan P, Williams E, Lerner BM, Murphy P, Fehsenfeld FC. Measurements of PANs during the New England Air Quality Study 2002. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2007jd008667] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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