An ambient air quality monitoring network for Buenos Aires city

Autores
Venegas, Laura Esperanza; Mazzeo, Nicolas Antonio
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes an objective methodology for designing a multi-pollutant urban air-quality monitoring network to detect concentrations greater than reference concentration levels (CL). The network design includes both air quality simulation and an objective analysis based on monitoring tasks. The proposed methodology is applied to the city of Buenos Aires. Pollutants of concern are nitrogen oxides, carbon monoxide and PM 10. Considering CL as 50% of the Air Quality Standards, the design methodology determines six monitoring sites where to measure different pollutants at the same place. 'Spatial representativeness' of detected exceedances is evaluated analysing air quality simulations of cases with C < CL at any monitoring site and obtaining the areas in the city where concentrations are expected to exceed CL with 70%, 80% and 90% of probability.
Fil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mazzeo, Nicolas Antonio. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Air Quality Management
Air Quality Monitoring Network
Buenos Aires City
Carbon Monoxide
Nitrogen Oxides
Particulate Matter
Spatial Representativeness
Urban Air Quality
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:11336/54616
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/54616
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An ambient air quality monitoring network for Buenos Aires cityVenegas, Laura EsperanzaMazzeo, Nicolas AntonioAir Quality ManagementAir Quality Monitoring NetworkBuenos Aires CityCarbon MonoxideNitrogen OxidesParticulate MatterSpatial RepresentativenessUrban Air Qualityhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This paper proposes an objective methodology for designing a multi-pollutant urban air-quality monitoring network to detect concentrations greater than reference concentration levels (CL). The network design includes both air quality simulation and an objective analysis based on monitoring tasks. The proposed methodology is applied to the city of Buenos Aires. Pollutants of concern are nitrogen oxides, carbon monoxide and PM 10. Considering CL as 50% of the Air Quality Standards, the design methodology determines six monitoring sites where to measure different pollutants at the same place. 'Spatial representativeness' of detected exceedances is evaluated analysing air quality simulations of cases with C < CL at any monitoring site and obtaining the areas in the city where concentrations are expected to exceed CL with 70%, 80% and 90% of probability.Fil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mazzeo, Nicolas Antonio. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInderscience Enterprises2010-01info: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/11336/54616Venegas, Laura Esperanza; Mazzeo, Nicolas Antonio; An ambient air quality monitoring network for Buenos Aires city; Inderscience Enterprises; International Journal Of Environment And Pollution; 40; 1-3; 1-2010; 184-1940957-4352CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJEP.2010.030921info:eu-repo/semantics/altIdentifier/doi/10.1504/IJEP.2010.030921info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:37:26Zoai:ri.conicet.gov.ar:11336/54616instacron: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:34982026-08-25 14:37:26.357CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An ambient air quality monitoring network for Buenos Aires city
title An ambient air quality monitoring network for Buenos Aires city
spellingShingle An ambient air quality monitoring network for Buenos Aires city
Venegas, Laura Esperanza
Air Quality Management
Air Quality Monitoring Network
Buenos Aires City
Carbon Monoxide
Nitrogen Oxides
Particulate Matter
Spatial Representativeness
Urban Air Quality
title_short An ambient air quality monitoring network for Buenos Aires city
title_full An ambient air quality monitoring network for Buenos Aires city
title_fullStr An ambient air quality monitoring network for Buenos Aires city
title_full_unstemmed An ambient air quality monitoring network for Buenos Aires city
title_sort An ambient air quality monitoring network for Buenos Aires city
dc.creator.none.fl_str_mv Venegas, Laura Esperanza
Mazzeo, Nicolas Antonio
author Venegas, Laura Esperanza
author_facet Venegas, Laura Esperanza
Mazzeo, Nicolas Antonio
author_role author
author2 Mazzeo, Nicolas Antonio
author2_role author
dc.subject.none.fl_str_mv Air Quality Management
Air Quality Monitoring Network
Buenos Aires City
Carbon Monoxide
Nitrogen Oxides
Particulate Matter
Spatial Representativeness
Urban Air Quality
topic Air Quality Management
Air Quality Monitoring Network
Buenos Aires City
Carbon Monoxide
Nitrogen Oxides
Particulate Matter
Spatial Representativeness
Urban Air Quality
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This paper proposes an objective methodology for designing a multi-pollutant urban air-quality monitoring network to detect concentrations greater than reference concentration levels (CL). The network design includes both air quality simulation and an objective analysis based on monitoring tasks. The proposed methodology is applied to the city of Buenos Aires. Pollutants of concern are nitrogen oxides, carbon monoxide and PM 10. Considering CL as 50% of the Air Quality Standards, the design methodology determines six monitoring sites where to measure different pollutants at the same place. 'Spatial representativeness' of detected exceedances is evaluated analysing air quality simulations of cases with C < CL at any monitoring site and obtaining the areas in the city where concentrations are expected to exceed CL with 70%, 80% and 90% of probability.
Fil: Venegas, Laura Esperanza. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mazzeo, Nicolas Antonio. Universidad Tecnológica Nacional. Facultad Regional Avellaneda; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This paper proposes an objective methodology for designing a multi-pollutant urban air-quality monitoring network to detect concentrations greater than reference concentration levels (CL). The network design includes both air quality simulation and an objective analysis based on monitoring tasks. The proposed methodology is applied to the city of Buenos Aires. Pollutants of concern are nitrogen oxides, carbon monoxide and PM 10. Considering CL as 50% of the Air Quality Standards, the design methodology determines six monitoring sites where to measure different pollutants at the same place. 'Spatial representativeness' of detected exceedances is evaluated analysing air quality simulations of cases with C < CL at any monitoring site and obtaining the areas in the city where concentrations are expected to exceed CL with 70%, 80% and 90% of probability.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
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/11336/54616
Venegas, Laura Esperanza; Mazzeo, Nicolas Antonio; An ambient air quality monitoring network for Buenos Aires city; Inderscience Enterprises; International Journal Of Environment And Pollution; 40; 1-3; 1-2010; 184-194
0957-4352
CONICET Digital
CONICET
url http://hdl.handle.net/11336/54616
identifier_str_mv Venegas, Laura Esperanza; Mazzeo, Nicolas Antonio; An ambient air quality monitoring network for Buenos Aires city; Inderscience Enterprises; International Journal Of Environment And Pollution; 40; 1-3; 1-2010; 184-194
0957-4352
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJEP.2010.030921
info:eu-repo/semantics/altIdentifier/doi/10.1504/IJEP.2010.030921
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 Inderscience Enterprises
publisher.none.fl_str_mv Inderscience Enterprises
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_ 1874774328766103552
score 13.365483

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