globalchange  > 气候减缓与适应
DOI: 10.1029/2018JD028290
Scopus记录号: 2-s2.0-85046405536
论文题名:
Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER-AQ Campaign
作者: Kelly J.T.; Parworth C.L.; Zhang Q.; Miller D.J.; Sun K.; Zondlo M.A.; Baker K.R.; Wisthaler A.; Nowak J.B.; Pusede S.E.; Cohen R.C.; Weinheimer A.J.; Beyersdorf A.J.; Tonnesen G.S.; Bash J.O.; Valin L.C.; Crawford J.H.; Fried A.; Walega J.G.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:9
起始页码: 4727
结束页码: 4745
语种: 英语
英文关键词: aerosol thermodynamics ; ammonia ; HNO3 production ; inorganic aerosol ; process analysis ; SJV
Scopus关键词: aerosol ; air quality ; ambient air ; ammonia ; ammonium nitrate ; atmospheric modeling ; environmental monitoring ; human activity ; inorganic compound ; mixing ratio ; nitric acid ; pollution monitoring ; prediction ; thermodynamics ; California ; San Joaquin Valley ; United States
英文摘要: The San Joaquin Valley (SJV) of California experiences high concentrations of particulate matter NH4NO3 during episodes of meteorological stagnation in winter. A rich data set of observations related to NH4NO3 formation was acquired during multiple periods of elevated NH4NO3 during the Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) field campaign in SJV in January and February 2013. Here NH4NO3 is simulated during the SJV DISCOVER-AQ study period with the Community Multiscale Air Quality (CMAQ) model, diagnostic model evaluation is performed using the DISCOVER-AQ data set, and integrated reaction rate analysis is used to quantify HNO3 production rates. Simulated NO3 − generally agrees well with routine monitoring of 24-hr average NO3 −, but comparisons with hourly average NO3 − measurements in Fresno revealed differences at higher time resolution. Predictions of gas-particle partitioning of total nitrate (HNO3 + NO3 −) and NHx (NH3 + NH4 +) generally agree well with measurements in Fresno, although partitioning of total nitrate to HNO3 is sometimes overestimated at low relative humidity in afternoon. Gas-particle partitioning results indicate that NH4NO3 formation is limited by HNO3 availability in both the model and ambient. NH3 mixing ratios are underestimated, particularly in areas with large agricultural activity, and additional work on the spatial allocation of NH3 emissions is warranted. During a period of elevated NH4NO3, the model predicted that the OH + NO2 pathway contributed 46% to total HNO3 production in SJV and the N2O5 heterogeneous hydrolysis pathway contributed 54%. The relative importance of the OH + NO2 pathway for HNO3 production is predicted to increase as NOx emissions decrease. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113897
Appears in Collections:气候减缓与适应

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作者单位: Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, RTPNC, United States; Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA, United States; Department of Environmental Toxicology, University of California, Davis, CA, United States; Agricultural and Environmental Chemistry Graduate Group, University of California, Davis, CA, United States; Environmental Defense Fund, Boston, MA, United States; Atomic and Molecular Physics Division, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Institute for Ion Physics and Applied Physics, University of Innsbruck, Innsbruck, Austria; Langley Research Center, National Aeronautics and Space Administration, Hampton, VA, United States; Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States; Department of Earth and Planetary Sciences, University of California at Berkeley, Berkeley, CA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Department of Chemistry and Biochemistry, California State University, San Bernardino, CA, United States; Region 8, U.S. Environmental Protection Agency, Denver, CO, United States; Office of Research and Development, U.S. Environmental Protection Agency, RTPNC, United States; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States

Recommended Citation:
Kelly J.T.,Parworth C.L.,Zhang Q.,et al. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER-AQ Campaign[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(9)
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