Practical use of the ISCST3 model to select monitoring site locations for air pollution control

Autores
Mazzeo, Nicolas Antonio; Venegas, Laura Esperanza
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low inter-annual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated va1ue of the efficiency of the network design is 0.475 at best.
Fil: Mazzeo, Nicolas Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Venegas, Laura Esperanza. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Materia
AIR POLLUTION
AIR QUALITY CONTROL
ISCST3 MODEL
MONITORING NETWORK
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/71892
Acceder
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spelling Practical use of the ISCST3 model to select monitoring site locations for air pollution controlMazzeo, Nicolas AntonioVenegas, Laura EsperanzaAIR POLLUTIONAIR QUALITY CONTROLISCST3 MODELMONITORING NETWORKhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low inter-annual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated va1ue of the efficiency of the network design is 0.475 at best.Fil: Mazzeo, Nicolas Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Venegas, Laura Esperanza. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaInderscience Enterprises2000-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/71892Mazzeo, Nicolas Antonio; Venegas, Laura Esperanza; Practical use of the ISCST3 model to select monitoring site locations for air pollution control; Inderscience Enterprises; International Journal Of Environment And Pollution; 14; 1-6; 5-2000; 246-2591741-51010957-4352CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1504/IJEP.2000.000546info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJEP.2000.000546info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:57:36Zoai:ri.conicet.gov.ar:11336/71892instacron: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 14:57:36.799CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title Practical use of the ISCST3 model to select monitoring site locations for air pollution control
spellingShingle Practical use of the ISCST3 model to select monitoring site locations for air pollution control
Mazzeo, Nicolas Antonio
AIR POLLUTION
AIR QUALITY CONTROL
ISCST3 MODEL
MONITORING NETWORK
title_short Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_full Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_fullStr Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_full_unstemmed Practical use of the ISCST3 model to select monitoring site locations for air pollution control
title_sort Practical use of the ISCST3 model to select monitoring site locations for air pollution control
dc.creator.none.fl_str_mv Mazzeo, Nicolas Antonio
Venegas, Laura Esperanza
author Mazzeo, Nicolas Antonio
author_facet Mazzeo, Nicolas Antonio
Venegas, Laura Esperanza
author_role author
author2 Venegas, Laura Esperanza
author2_role author
dc.subject.none.fl_str_mv AIR POLLUTION
AIR QUALITY CONTROL
ISCST3 MODEL
MONITORING NETWORK
topic AIR POLLUTION
AIR QUALITY CONTROL
ISCST3 MODEL
MONITORING NETWORK
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low inter-annual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated va1ue of the efficiency of the network design is 0.475 at best.
Fil: Mazzeo, Nicolas Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Venegas, Laura Esperanza. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
description We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is based on the analysis of 1 hour concentration values above a threshold value estimated by atmospheric dispersion models. The number and location of the air monitoring stations are determined according to the likelihood that a station can measure high concentration values in accordance with model results. The efficiency of the monitoring network design depends on the accuracy of the considered dispersion model, a low inter-annual variability of atmospheric conditions and the number of samplers. Following a brief description of the methodology we detail an application to design an air monitoring network. We apply the ISCST3 atmospheric dispersion model to a point source emission, considering one year of hourly meteorological data. In this example, an approximated va1ue of the efficiency of the network design is 0.475 at best.
publishDate 2000
dc.date.none.fl_str_mv 2000-05
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/11336/71892
Mazzeo, Nicolas Antonio; Venegas, Laura Esperanza; Practical use of the ISCST3 model to select monitoring site locations for air pollution control; Inderscience Enterprises; International Journal Of Environment And Pollution; 14; 1-6; 5-2000; 246-259
1741-5101
0957-4352
CONICET Digital
CONICET
url http://hdl.handle.net/11336/71892
identifier_str_mv Mazzeo, Nicolas Antonio; Venegas, Laura Esperanza; Practical use of the ISCST3 model to select monitoring site locations for air pollution control; Inderscience Enterprises; International Journal Of Environment And Pollution; 14; 1-6; 5-2000; 246-259
1741-5101
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/doi/10.1504/IJEP.2000.000546
info:eu-repo/semantics/altIdentifier/url/https://www.inderscienceonline.com/doi/abs/10.1504/IJEP.2000.000546
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv 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_ 1874774941474226176
score 13.365483

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