Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations

Autores
Pineda Rojas, Andrea Laura; Venegas, Laura Esperanza
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ambient concentrations of nitrogen dioxide (NO2) resulting from the emissions of nitrogen oxides (NOx) and volatile organic compounds (VOCs) in an urban area, may cause adverse impacts on the human health and the natural environment if they exceed the air quality standards. The evaluation of NO2 can be achieved through the application of air quality models including photochemical reactions. DAUMOD is a simple urban scale atmospheric dispersion model which was originally developed to estimate urban background concentrations of inert species. In order to allow the estimation of NO2 concentrations in an urban atmosphere, the DAUMOD model has been recently coupled to the Generic Reaction Set (GRS), a simplified photochemical scheme. This work presents the development of the DAUMOD-GRS model and its first application in the city of Buenos Aires considering high resolution area source NOx and VOCs emissions recently obtained for the area. Estimated hourly NO2 concentrations are compared with observations from a campaign carried out at a green open area within the city in winter 2001. Results show a good model performance, with NMSE=0.49, FA2=0.676 and FB=-0.097. DAUMOD-GRS is applied to obtain the spatial distribution of annual NO2 concentrations in the city. The maximum value is 36 ppb, indicating that annual NO2 concentrations in Buenos Aires are below the Air Quality Standard (53 ppb). In addition, hourly ozone concentrations estimated by DAMOD-GRS are compared with observed values, giving NMSE=0.38, FA2=0.684 and FB=-0.225.
Fil: Pineda Rojas, Andrea Laura. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Urban Air Quality
Daumod-Grs
Nitrogen Dioxide
Nitrogen Oxides
Volatile Organic Compounds
Buenos Aires
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:11336/23040
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/23040
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrationsPineda Rojas, Andrea LauraVenegas, Laura EsperanzaUrban Air QualityDaumod-GrsNitrogen DioxideNitrogen OxidesVolatile Organic CompoundsBuenos Aireshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Ambient concentrations of nitrogen dioxide (NO2) resulting from the emissions of nitrogen oxides (NOx) and volatile organic compounds (VOCs) in an urban area, may cause adverse impacts on the human health and the natural environment if they exceed the air quality standards. The evaluation of NO2 can be achieved through the application of air quality models including photochemical reactions. DAUMOD is a simple urban scale atmospheric dispersion model which was originally developed to estimate urban background concentrations of inert species. In order to allow the estimation of NO2 concentrations in an urban atmosphere, the DAUMOD model has been recently coupled to the Generic Reaction Set (GRS), a simplified photochemical scheme. This work presents the development of the DAUMOD-GRS model and its first application in the city of Buenos Aires considering high resolution area source NOx and VOCs emissions recently obtained for the area. Estimated hourly NO2 concentrations are compared with observations from a campaign carried out at a green open area within the city in winter 2001. Results show a good model performance, with NMSE=0.49, FA2=0.676 and FB=-0.097. DAUMOD-GRS is applied to obtain the spatial distribution of annual NO2 concentrations in the city. The maximum value is 36 ppb, indicating that annual NO2 concentrations in Buenos Aires are below the Air Quality Standard (53 ppb). In addition, hourly ozone concentrations estimated by DAMOD-GRS are compared with observed values, giving NMSE=0.38, FA2=0.684 and FB=-0.225.Fil: Pineda Rojas, Andrea Laura. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2012-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23040Pineda Rojas, Andrea Laura; Venegas, Laura Esperanza; Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations; Elsevier; Atmospheric Research; 120-121; 8-2012; 147-1540169-8095CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169809512002773info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2012.08.010info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:54:27Zoai:ri.conicet.gov.ar:11336/23040instacron: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:34982025-10-22 11:54:28.141CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
title Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
spellingShingle Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
Pineda Rojas, Andrea Laura
Urban Air Quality
Daumod-Grs
Nitrogen Dioxide
Nitrogen Oxides
Volatile Organic Compounds
Buenos Aires
title_short Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
title_full Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
title_fullStr Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
title_full_unstemmed Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
title_sort Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations
dc.creator.none.fl_str_mv Pineda Rojas, Andrea Laura
Venegas, Laura Esperanza
author Pineda Rojas, Andrea Laura
author_facet Pineda Rojas, Andrea Laura
Venegas, Laura Esperanza
author_role author
author2 Venegas, Laura Esperanza
author2_role author
dc.subject.none.fl_str_mv Urban Air Quality
Daumod-Grs
Nitrogen Dioxide
Nitrogen Oxides
Volatile Organic Compounds
Buenos Aires
topic Urban Air Quality
Daumod-Grs
Nitrogen Dioxide
Nitrogen Oxides
Volatile Organic Compounds
Buenos Aires
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Ambient concentrations of nitrogen dioxide (NO2) resulting from the emissions of nitrogen oxides (NOx) and volatile organic compounds (VOCs) in an urban area, may cause adverse impacts on the human health and the natural environment if they exceed the air quality standards. The evaluation of NO2 can be achieved through the application of air quality models including photochemical reactions. DAUMOD is a simple urban scale atmospheric dispersion model which was originally developed to estimate urban background concentrations of inert species. In order to allow the estimation of NO2 concentrations in an urban atmosphere, the DAUMOD model has been recently coupled to the Generic Reaction Set (GRS), a simplified photochemical scheme. This work presents the development of the DAUMOD-GRS model and its first application in the city of Buenos Aires considering high resolution area source NOx and VOCs emissions recently obtained for the area. Estimated hourly NO2 concentrations are compared with observations from a campaign carried out at a green open area within the city in winter 2001. Results show a good model performance, with NMSE=0.49, FA2=0.676 and FB=-0.097. DAUMOD-GRS is applied to obtain the spatial distribution of annual NO2 concentrations in the city. The maximum value is 36 ppb, indicating that annual NO2 concentrations in Buenos Aires are below the Air Quality Standard (53 ppb). In addition, hourly ozone concentrations estimated by DAMOD-GRS are compared with observed values, giving NMSE=0.38, FA2=0.684 and FB=-0.225.
Fil: Pineda Rojas, Andrea Laura. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda. Departamento de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Ambient concentrations of nitrogen dioxide (NO2) resulting from the emissions of nitrogen oxides (NOx) and volatile organic compounds (VOCs) in an urban area, may cause adverse impacts on the human health and the natural environment if they exceed the air quality standards. The evaluation of NO2 can be achieved through the application of air quality models including photochemical reactions. DAUMOD is a simple urban scale atmospheric dispersion model which was originally developed to estimate urban background concentrations of inert species. In order to allow the estimation of NO2 concentrations in an urban atmosphere, the DAUMOD model has been recently coupled to the Generic Reaction Set (GRS), a simplified photochemical scheme. This work presents the development of the DAUMOD-GRS model and its first application in the city of Buenos Aires considering high resolution area source NOx and VOCs emissions recently obtained for the area. Estimated hourly NO2 concentrations are compared with observations from a campaign carried out at a green open area within the city in winter 2001. Results show a good model performance, with NMSE=0.49, FA2=0.676 and FB=-0.097. DAUMOD-GRS is applied to obtain the spatial distribution of annual NO2 concentrations in the city. The maximum value is 36 ppb, indicating that annual NO2 concentrations in Buenos Aires are below the Air Quality Standard (53 ppb). In addition, hourly ozone concentrations estimated by DAMOD-GRS are compared with observed values, giving NMSE=0.38, FA2=0.684 and FB=-0.225.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
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/11336/23040
Pineda Rojas, Andrea Laura; Venegas, Laura Esperanza; Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations; Elsevier; Atmospheric Research; 120-121; 8-2012; 147-154
0169-8095
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23040
identifier_str_mv Pineda Rojas, Andrea Laura; Venegas, Laura Esperanza; Upgrade of the DAUMOD atmospheric dispersion model to estimate urban background NO2 concentrations; Elsevier; Atmospheric Research; 120-121; 8-2012; 147-154
0169-8095
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/S0169809512002773
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.atmosres.2012.08.010
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
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
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score 12.982451

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