DOI: 10.1016/j.atmosenv.2014.11.023
Scopus记录号: 2-s2.0-84910010972
论文题名: Identification of surface NOx emission sources on a regional scale using OMI NO2
作者: Zyrichidou I ; , Koukouli M ; E ; , Balis D ; , Markakis K ; , Poupkou A ; , Katragkou E ; , Kioutsioukis I ; , Melas D ; , Boersma K ; F ; , van Roozendael M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 101 起始页码: 82
结束页码: 93
语种: 英语
英文关键词: Emission inventory
; Inverse modeling
; Nitrogen oxides
; OMI
Scopus关键词: Air quality
; Computer simulation
; Inverse problems
; Nitrogen
; Troposphere
; Air quality simulation
; Comprehensive air quality model with extensions
; Emission inventories
; High-resolution grids
; Inverse modeling
; OMI
; Satellite observations
; Tropospheric nitrogen dioxide
; Nitrogen oxides
; fossil fuel
; nitrogen dioxide
; nitrogen oxide
; atmospheric modeling
; biomass burning
; emission inventory
; estimation method
; identification method
; nitrogen oxides
; pollutant source
; satellite imagery
; soil emission
; spatial resolution
; troposphere
; air quality
; Article
; Balkan Peninsula
; biomass
; Greece
; nitrous oxide emission
; pollution transport
; quantitative analysis
; simulation
; soil
; troposphere
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 this study, an inverse modeling technique is applied to obtain, at a regional scale, top-down emission estimates for nitrogen oxides utilizing tropospheric nitrogen dioxide (NO2) columns retrieved by the OMI/Aura instrument and estimated by the Comprehensive Air Quality Model with extensions (CAMx). The main idea, applied previously using models with coarse spatial resolution, is to combine the a priori information from the bottom up emission inventory used in an air quality simulation that covers the Balkan peninsula in a high resolution grid (0.1°×0.1°) with the tropospheric NO2 quantities estimated for one complete year by CAMx and the tropospheric NO2 columns retrieved by satellite observations in order to identify missing emissions sources on a regional scale. The results have identified biases between the a priori and a posteriori emission inventories due to the missing emission sources or over-estimation of the spread and quantity of certain emission sources. In such a fine resolution grid we have also analyzed and considered the horizontal transport on the a posteriori NOx emissions. The deduced a posteriori NOx emissions, dominated by the fossil fuel emissions, were found to be1.11±0.30TgN/y, compared to 0.87±0.43TgN/y found in the a priori Balkan emission inventory. Soil emissions over the extended Greek domain, omitted in the a priori inventory, were estimated to account for almost 20% of the total emitted amount, while for the year 2009 the biomass burning NOx emission flux was also estimated and the average rate accounted for 0.5×10-6TgN/km2. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82078
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratory of Atmospheric Physics, Physics Department, A.U.Th, Thessaloniki, Greece; Laboratoire de Meteorologie Dynamique (LMD), IPSL Ecole Polytechnique, Palaiseau Cedex, Paris, France; Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, Thessaloniki, Greece; Laboratory of Atmospheric Physics, Physics Department, University of Patras, Greece; Royal Netherlands Meteorological Service, De Bilt, Netherlands; Eindhoven University of Technology, Fluid Dynamics Lab, Eindhoven, Netherlands; Belgian Institute for Space Aeronomy, Brussels, Belgium
Recommended Citation:
Zyrichidou I,, Koukouli M,E,et al. Identification of surface NOx emission sources on a regional scale using OMI NO2[J]. Atmospheric Environment,2015-01-01,101