DOI: 10.1016/j.atmosenv.2014.08.006
Scopus记录号: 2-s2.0-84907325500
论文题名: Removing traffic emissions from CO2 time series measured at a tall tower using mobile measurements and transport modeling
作者: Schmidt A ; , Rella C ; W ; , Göckede M ; , Hanson C ; , Yang Z ; , Law B ; E
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 97 起始页码: 94
结束页码: 108
语种: 英语
英文关键词: High precision carbon dioxide observations
; Traffic emissions
; Transport modeling
Scopus关键词: High precision carbon dioxide observations
; Mobile measurements
; Tall towers
; Traffic emissions
; Transport modeling
; carbon dioxide
; carbon monoxide
; anthropogenic source
; atmosphere-biosphere interaction
; atmospheric modeling
; carbon dioxide
; carbon monoxide
; emission inventory
; multistorey building
; pollutant transport
; pollution monitoring
; precision
; time series
; traffic emission
; Article
; atmosphere
; biosphere
; carbon footprint
; exhaust gas
; highway
; laser
; mobile phone
; summer
; time series analysis
; traffic
; United States
; urban area
; Oregon
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In recent years, measurements of atmospheric carbon dioxide with high precision and accuracy have become increasingly important for climate change research, in particular to inform terrestrial biosphere models. Anthropogenic carbon dioxide emissions from fossil fuel burning have long been recognized to contribute a significant portion of the carbon dioxide in the atmosphere. Here, we present an approach to remove the traffic related carbon dioxide emissions from mole fractions measured at a tall tower by using the corresponding carbon monoxide measurements in combination with footprint analyses and transport modeling. This technique improves the suitability of the CO2 data to be used in inverse modeling approaches of atmosphere-biosphere exchange that do not account for non-biotic portions of CO2. In our study region in Oregon, road traffic emissions are the biggest source of anthropogenic carbon dioxide and carbon monoxide. A three-day mobile campaign covering 1700km of roads in northwestern Oregon was performed during summer of 2012 using a laser-based Cavity Ring-Down Spectrometer. The mobile measurements incorporated different roads including main highways, urban streets, and back-roads, largely within the typical footprint of a tall CO/CO2 observation tower in Oregon's Willamette Valley. For the first time, traffic related CO:CO2 emission ratios were measured directly at the sources during an on-road campaign under a variety of different driving conditions. An average emission ratio of 7.43 (±1.80) ppb CO per ppm CO2 was obtained for the study region and applied to separate the traffic related portion of CO2 from the mole fraction time series. The road traffic related portion of the CO2 mole fractions measured at the tower site reached maximum values ranging from 9.8 to 12ppm, depending on the height above the surface, during summer 2012. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80860
Appears in Collections: 气候变化事实与影响
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作者单位: Oregon State University, Corvallis, OR, United States; Picarro Inc., Santa Clara, CA, United States; Max Planck Institute for Biogeochemistry, Jena, Germany
Recommended Citation:
Schmidt A,, Rella C,W,et al. Removing traffic emissions from CO2 time series measured at a tall tower using mobile measurements and transport modeling[J]. Atmospheric Environment,2014-01-01,97