globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.11.040
Scopus记录号: 2-s2.0-84911869969
论文题名:
High resolution inventory of GHG emissions of the road transport sector in Argentina
作者: Puliafito S; E; , Allende D; , Pinto S; , Castesana P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 101
起始页码: 303
结束页码: 311
语种: 英语
英文关键词: Argentina ; Geographic information system ; High resolution emissions inventory ; Road transport sector ; Spatial distribution ; Vehicle-Kilometer transported
Scopus关键词: Air quality ; Fuels ; Geographic information systems ; Information systems ; Information use ; Land use ; Meteorology ; Motor transportation ; Roads and streets ; Sensitivity analysis ; Spatial distribution ; Uncertainty analysis ; Vehicles ; Annual average daily traffics ; Argentina ; Background information ; Greenhouse gases (GHG) ; High resolution inventories ; High-resolution emission ; International database ; Road transport sectors ; Greenhouse gases ; diesel fuel ; fuel ; gasoline ; natural compressed gas ; unclassified drug ; air quality ; atmospheric pollution ; database ; emission inventory ; GIS ; greenhouse gas ; road transport ; spatial distribution ; spatial resolution ; uncertainty analysis ; air quality ; Argentina ; Article ; calculation ; carbon footprint ; controlled study ; geographic distribution ; geographic information system ; high resolution emission regional inventory ; human ; Monte Carlo method ; motor vehicle ; named inventories, questionnaires and rating scales ; road transport ; rural area ; satellite imagery ; sensitivity analysis ; traffic and transport ; urban area ; Argentina
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: Air quality models require the use of extensive background information, such as land use and topography maps, meteorological data and emission inventories of pollutant sources. This challenge increases when considering the vehicular sources. The available international databases have uneven resolution for all countries including some areas with low spatial resolution associated with large districts (several hundred km). A simple procedure is proposed in order to develop an inventory of emissions with high resolution (9km) for the transport sector based on a geographic information system using readily available information applied to Argentina. The basic variable used is the vehicle activity (vehicle - km transported) estimated from fuel consumption and fuel efficiency. This information is distributed to a spatial grid according to a road hierarchy and segment length assigned to each street within the cell. Information on fuel is obtained from district consumption, but weighted using the DMSP-OLS satellite "Earth at night" image. The uncertainty of vehicle estimation and emission calculations was tested using sensitivity Montecarlo analysis. The resulting inventory is calibrated using annual average daily traffic counts in around 850 measuring points all over the country leading to an uncertainty of 20%. Uncertainties in the emissions calculation at pixel level can be estimated to be less than 12%. Comparison with international databases showed a better spatial distribution of greenhouse gases (GHG) emissions in the transport sector, but similar total national values. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82094
Appears in Collections:气候变化事实与影响

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作者单位: Facultad Regional Mendoza, Universidad Tecnológica Nacional/CONICET, Rodriguez 273, Mendoza, Argentina; Facultad Regional Buenos Aires, Universidad Tecnológica Nacional, Medrano 951, Buenos Aires, Argentina

Recommended Citation:
Puliafito S,E,, Allende D,et al. High resolution inventory of GHG emissions of the road transport sector in Argentina[J]. Atmospheric Environment,2015-01-01,101
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