High resolution inventory of GHG emissions of the road transport sector in Argentina

Autores
Puliafito, Salvador Enrique; Allende, David Gabriel; Pinto, Sebastián; Castesana, Paula Soledad
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
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
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
Fil: Pinto, Sebastián. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castesana, Paula Soledad. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
Materia
Argentina
Geographic Information System
High Resolution Emissions Inventory
Road Transport Sector
Spatial Distribution
Vehicle-Kilometer Transported
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/37248
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling High resolution inventory of GHG emissions of the road transport sector in ArgentinaPuliafito, Salvador EnriqueAllende, David GabrielPinto, SebastiánCastesana, Paula SoledadArgentinaGeographic Information SystemHigh Resolution Emissions InventoryRoad Transport SectorSpatial DistributionVehicle-Kilometer Transportedhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Air 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.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; ArgentinaFil: Allende, David Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Pinto, Sebastián. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Castesana, Paula Soledad. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; ArgentinaElsevier2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37248Puliafito, 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; 303-3111352-2310CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1352231014009054info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2014.11.040info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:48Zoai:ri.conicet.gov.ar:11336/37248instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:46:48.659CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv High resolution inventory of GHG emissions of the road transport sector in Argentina
title High resolution inventory of GHG emissions of the road transport sector in Argentina
spellingShingle High resolution inventory of GHG emissions of the road transport sector in Argentina
Puliafito, Salvador Enrique
Argentina
Geographic Information System
High Resolution Emissions Inventory
Road Transport Sector
Spatial Distribution
Vehicle-Kilometer Transported
title_short High resolution inventory of GHG emissions of the road transport sector in Argentina
title_full High resolution inventory of GHG emissions of the road transport sector in Argentina
title_fullStr High resolution inventory of GHG emissions of the road transport sector in Argentina
title_full_unstemmed High resolution inventory of GHG emissions of the road transport sector in Argentina
title_sort High resolution inventory of GHG emissions of the road transport sector in Argentina
dc.creator.none.fl_str_mv Puliafito, Salvador Enrique
Allende, David Gabriel
Pinto, Sebastián
Castesana, Paula Soledad
author Puliafito, Salvador Enrique
author_facet Puliafito, Salvador Enrique
Allende, David Gabriel
Pinto, Sebastián
Castesana, Paula Soledad
author_role author
author2 Allende, David Gabriel
Pinto, Sebastián
Castesana, Paula Soledad
author2_role author
author
author
dc.subject.none.fl_str_mv Argentina
Geographic Information System
High Resolution Emissions Inventory
Road Transport Sector
Spatial Distribution
Vehicle-Kilometer Transported
topic Argentina
Geographic Information System
High Resolution Emissions Inventory
Road Transport Sector
Spatial Distribution
Vehicle-Kilometer Transported
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
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
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
Fil: Pinto, Sebastián. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Castesana, Paula Soledad. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/37248
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
1352-2310
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37248
identifier_str_mv 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
1352-2310
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1352231014009054
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosenv.2014.11.040
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268817941594112
score 13.13397

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