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dc.contributor.author
Venegas, Laura Esperanza
dc.contributor.author
Mazzeo, Nicolas Antonio
dc.contributor.author
Dezzutti, Mariana Clara
dc.date.available
2018-01-11T19:22:42Z
dc.date.issued
2014-01
dc.identifier.citation
Mazzeo, Nicolas Antonio; Venegas, Laura Esperanza; Dezzutti, Mariana Clara; A simple model for calculating air pollution within street canyons; Elsevier; Atmospheric Environment; 87; 1-2014; 77-86
dc.identifier.issn
1352-2310
dc.identifier.uri
http://hdl.handle.net/11336/33021
dc.description.abstract
This paper introduces the Semi-Empirical Urban Street (SEUS) model. SEUS is a simple mathematical model based on the scaling of air pollution concentration inside street canyons employing the emission rate, the width of the canyon, the dispersive velocity scale and the background concentration. Dispersive velocity scale depends on turbulent motions related to wind and traffic. The parameterisations of these turbulent motions include two dimensionless empirical parameters. Functional forms of these parameters have been obtained from full scale data measured in street canyons at four European cities. The sensitivity of SEUS model is studied analytically. Results show that relative errors in the evaluation of the two dimensionless empirical parameters have less influence on model uncertainties than uncertainties in other input variables. The model estimates NO2 concentrations using a simple photochemistry scheme. SEUS is applied to estimate NOx and NO2 hourly concentrations in an irregular and busy street canyon in the city of Buenos Aires. The statistical evaluation of results shows that there is a good agreement between estimated and observed hourly concentrations (e.g. fractional bias are -10.3% for NOx and +7.8% for NO2). The agreement between the estimated and observed values has also been analysed in terms of its dependence on wind speed and direction. The model shows a better performance for wind speeds > 2 m s-1 than for lower wind speeds and for leeward situations than for others. No significant discrepancies have been found between the results of the proposed model and that of a widely used operational dispersion model (OSPM), both using the same input information.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Urban Pollution
dc.subject
Street Canyon
dc.subject
Modeling
dc.subject
Buenos Aires
dc.subject.classification
Meteorología y Ciencias Atmosféricas
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
A simple model for calculating air pollution within street canyons
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-11T13:47:34Z
dc.journal.volume
87
dc.journal.pagination
77-86
dc.journal.pais
Países Bajos
dc.journal.ciudad
Ámsterdam
dc.description.fil
Fil: Venegas, Laura Esperanza. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina
dc.description.fil
Fil: Mazzeo, Nicolas Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina
dc.description.fil
Fil: Dezzutti, Mariana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina
dc.journal.title
Atmospheric Environment
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.atmosenv.2014.01.005
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1352231014000144
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