globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027688
Scopus记录号: 2-s2.0-85044504612
论文题名:
Characterizing CO and NOy Sources and Relative Ambient Ratios in the Baltimore Area Using Ambient Measurements and Source Attribution Modeling
作者: Simon H.; Valin L.C.; Baker K.R.; Henderson B.H.; Crawford J.H.; Pusede S.E.; Kelly J.T.; Foley K.M.; Chris Owen R.; Cohen R.C.; Timin B.; Weinheimer A.J.; Possiel N.; Misenis C.; Diskin G.S.; Fried A.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:6
起始页码: 3304
结束页码: 3320
语种: 英语
英文关键词: CO:NOx ; CO:NOy ; DISCOVER-AQ ; emissions ; mobile sources ; modeling
Scopus关键词: air quality ; anthropogenic source ; atmospheric modeling ; carbon monoxide ; concentration (composition) ; emission inventory ; equipment ; formaldehyde ; nitrate ; pollutant source ; soil emission ; traffic emission ; Baltimore ; Maryland ; United States
英文摘要: Modeled source attribution information from the Community Multiscale Air Quality model was coupled with ambient data from the 2011 Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality Baltimore field study. We assess source contributions and evaluate the utility of using aircraft measured CO and NOy relationships to constrain emission inventories. We derive ambient and modeled ΔCO:ΔNOy ratios that have previously been interpreted to represent CO:NOy ratios in emissions from local sources. Modeled and measured ΔCO:ΔNOy are similar; however, measured ΔCO:ΔNOy has much more daily variability than modeled values. Sector-based tagging shows that regional transport, on-road gasoline vehicles, and nonroad equipment are the major contributors to modeled CO mixing ratios in the Baltimore area. In addition to those sources, on-road diesel vehicles, soil emissions, and power plants also contribute substantially to modeled NOy in the area. The sector mix is important because emitted CO:NOx ratios vary by several orders of magnitude among the emission sources. The model-predicted gasoline/diesel split remains constant across all measurement locations in this study. Comparison of ΔCO:ΔNOy to emitted CO:NOy is challenged by ambient and modeled evidence that free tropospheric entrainment, and atmospheric processing elevates ambient ΔCO:ΔNOy above emitted ratios. Specifically, modeled ΔCO:ΔNOy from tagged mobile source emissions is enhanced 5–50% above the emitted ratios at times and locations of aircraft measurements. We also find a correlation between ambient formaldehyde concentrations and measured ΔCO:ΔNOy suggesting that secondary CO formation plays a role in these elevated ratios. This analysis suggests that ambient urban daytime ΔCO:ΔNOy values are not reflective of emitted ratios from individual sources. ©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/114243
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, Research Triangle Park, NC, United States; National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC, United States; NASA Langley Research Center, Hampton, VA, United States; Department of Environmental Sciences, University of Virginia, Charlottesville, VA, United States; Department of Chemistry, University of California, Berkeley, CA, United States; Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States

Recommended Citation:
Simon H.,Valin L.C.,Baker K.R.,et al. Characterizing CO and NOy Sources and Relative Ambient Ratios in the Baltimore Area Using Ambient Measurements and Source Attribution Modeling[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(6)
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