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dc.contributor.author
Puliafito, Salvador Enrique
dc.contributor.author
Allende, David Gabriel
dc.contributor.author
Pinto, Sebastián
dc.contributor.author
Castesana, Paula Soledad
dc.date.available
2018-02-27T15:07:25Z
dc.date.issued
2015-01
dc.identifier.citation
Puliafito, Salvador Enrique; Allende, David Gabriel; Pinto, Sebastián; Castesana, Paula Soledad; High resolution inventory of GHG emissions of the road transport sector in Argentina; Elsevier; Atmospheric Environment; 101; 1-2015; 303-311
dc.identifier.issn
1352-2310
dc.identifier.uri
http://hdl.handle.net/11336/37248
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Argentina
dc.subject
Geographic Information System
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High Resolution Emissions Inventory
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Road Transport Sector
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Spatial Distribution
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Vehicle-Kilometer Transported
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Meteorología y Ciencias Atmosféricas
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
High resolution inventory of GHG emissions of the road transport sector in Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-02-27T14:18:20Z
dc.journal.volume
101
dc.journal.pagination
303-311
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.description.fil
Fil: Allende, David Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
dc.description.fil
Fil: Pinto, Sebastián. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Castesana, Paula Soledad. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
dc.journal.title
Atmospheric Environment
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1352231014009054
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.atmosenv.2014.11.040


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