dc.creatorSaide, P.
dc.creatorZah, R.
dc.creatorOsses, M.
dc.creatorOssés de Eicker, M.
dc.date.accessioned2019-03-11T12:58:10Z
dc.date.available2019-03-11T12:58:10Z
dc.date.created2019-03-11T12:58:10Z
dc.date.issued2009
dc.identifierAtmospheric Environment, Volumen 43, Issue 32, 2018, Pages 4914-4923
dc.identifier13522310
dc.identifier10.1016/j.atmosenv.2009.07.013
dc.identifierhttps://repositorio.uchile.cl/handle/2250/164827
dc.description.abstractSimple, inexpensive and accurate methods for assessing the spatial distribution of traffic emissions are badly needed for the environmental management in South American cities. In this study, various spatial disaggregation methods of traffic emissions of carbon monoxide are presented and evaluated for a large city (Santiago de Chile). Previous methods have used a simplified road network as a proxy for deriving spatial patterns of emissions. However, these approaches resulted in underestimation of emissions in urban centers, industrial zones and highly loaded roads, as well as overestimation in residential zones. Here we modify these methods by adding data correlated with the emissions (e.g. traffic counts, vehicles mean speed, road capacity) solving partially or completely the indicated problems. After an accuracy-simplicity analysis two methodologies stand out over the others: using traffic count classification and using a land use map, both combined with a simplified road network. Bo
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceAtmospheric Environment
dc.subjectCO urban distribution
dc.subjectHot exhaust emissions
dc.subjectRoad vehicles pollution
dc.subjectSantiago de Chile
dc.subjectTop-down methodologies
dc.subjectTraffic activity data
dc.titleSpatial disaggregation of traffic emission inventories in large cities using simplified top-down methods
dc.typeArtículo de revista


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