Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model

Autores
Aguirre, Cesar Augusto; Berri, Guillermo Jorge; Dezzutti, Mariana Clara; Queirel, Juan Martin; Marcos, Eliana Cecilia; Sedano, Carlos German; Rondán, Guillermo
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A high resolution earth satellite image with the visible smoke plume of a huge fire in the city of La Plata, Argentina, is used to verify the simulated plume with the fluid particle dispersion model LES-STO (large-eddy simulation - lagrangian stochastic one particle model). The initial and boundary conditions are provided by a boundary layer model forecast, and local meteorological observations validate the wind and temperature forecast with good results. The smoke plume is modeled by the continuous emission of fluid particles, initiated 4 h before the time of the satellite image in order to allow the model spin-up. Due to the lack of technical information about the fire, the emission parameters required by the model are estimated considering the dimensions of the burnt area and the products stored there. The spatial orientation and horizontal lateral extension of the modeled plume coincide with the smoke plume clearly visible in the satellite image. The conclusion of the study is that it is possible to use LES-STO with initial and boundary conditions provided by operational meteorological forecasts to make a diagnosis of those areas that could be affected by accidental emissions.
Fil: Aguirre, Cesar Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Berri, Guillermo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Dezzutti, Mariana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Queirel, Juan Martin. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Marcos, Eliana Cecilia. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Sedano, Carlos German. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Rondán, Guillermo. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Materia
FIRE
SMOKE
SIMULATION
STOCHASTIC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/221408
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled modelAguirre, Cesar AugustoBerri, Guillermo JorgeDezzutti, Mariana ClaraQueirel, Juan MartinMarcos, Eliana CeciliaSedano, Carlos GermanRondán, GuillermoFIRESMOKESIMULATIONSTOCHASTIChttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1A high resolution earth satellite image with the visible smoke plume of a huge fire in the city of La Plata, Argentina, is used to verify the simulated plume with the fluid particle dispersion model LES-STO (large-eddy simulation - lagrangian stochastic one particle model). The initial and boundary conditions are provided by a boundary layer model forecast, and local meteorological observations validate the wind and temperature forecast with good results. The smoke plume is modeled by the continuous emission of fluid particles, initiated 4 h before the time of the satellite image in order to allow the model spin-up. Due to the lack of technical information about the fire, the emission parameters required by the model are estimated considering the dimensions of the burnt area and the products stored there. The spatial orientation and horizontal lateral extension of the modeled plume coincide with the smoke plume clearly visible in the satellite image. The conclusion of the study is that it is possible to use LES-STO with initial and boundary conditions provided by operational meteorological forecasts to make a diagnosis of those areas that could be affected by accidental emissions.Fil: Aguirre, Cesar Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Berri, Guillermo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; ArgentinaFil: Dezzutti, Mariana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; ArgentinaFil: Queirel, Juan Martin. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; ArgentinaFil: Marcos, Eliana Cecilia. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; ArgentinaFil: Sedano, Carlos German. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaFil: Rondán, Guillermo. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaElsevier2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/221408Aguirre, Cesar Augusto; Berri, Guillermo Jorge; Dezzutti, Mariana Clara; Queirel, Juan Martin; Marcos, Eliana Cecilia; et al.; Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model; Elsevier; Atmospheric Environment: X; 14; 100172; 4-2022; 1-112590-1621CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2590162122000260info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aeaoa.2022.100172info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:12Zoai:ri.conicet.gov.ar:11336/221408instacron: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:34982025-09-03 09:54:12.36CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
title Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
spellingShingle Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
Aguirre, Cesar Augusto
FIRE
SMOKE
SIMULATION
STOCHASTIC
title_short Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
title_full Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
title_fullStr Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
title_full_unstemmed Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
title_sort Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model
dc.creator.none.fl_str_mv Aguirre, Cesar Augusto
Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martin
Marcos, Eliana Cecilia
Sedano, Carlos German
Rondán, Guillermo
author Aguirre, Cesar Augusto
author_facet Aguirre, Cesar Augusto
Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martin
Marcos, Eliana Cecilia
Sedano, Carlos German
Rondán, Guillermo
author_role author
author2 Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martin
Marcos, Eliana Cecilia
Sedano, Carlos German
Rondán, Guillermo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv FIRE
SMOKE
SIMULATION
STOCHASTIC
topic FIRE
SMOKE
SIMULATION
STOCHASTIC
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A high resolution earth satellite image with the visible smoke plume of a huge fire in the city of La Plata, Argentina, is used to verify the simulated plume with the fluid particle dispersion model LES-STO (large-eddy simulation - lagrangian stochastic one particle model). The initial and boundary conditions are provided by a boundary layer model forecast, and local meteorological observations validate the wind and temperature forecast with good results. The smoke plume is modeled by the continuous emission of fluid particles, initiated 4 h before the time of the satellite image in order to allow the model spin-up. Due to the lack of technical information about the fire, the emission parameters required by the model are estimated considering the dimensions of the burnt area and the products stored there. The spatial orientation and horizontal lateral extension of the modeled plume coincide with the smoke plume clearly visible in the satellite image. The conclusion of the study is that it is possible to use LES-STO with initial and boundary conditions provided by operational meteorological forecasts to make a diagnosis of those areas that could be affected by accidental emissions.
Fil: Aguirre, Cesar Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Berri, Guillermo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Dezzutti, Mariana Clara. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Queirel, Juan Martin. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Marcos, Eliana Cecilia. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Observatorio Astronómico de La Plata - Sede Central; Argentina
Fil: Sedano, Carlos German. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fil: Rondán, Guillermo. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
description A high resolution earth satellite image with the visible smoke plume of a huge fire in the city of La Plata, Argentina, is used to verify the simulated plume with the fluid particle dispersion model LES-STO (large-eddy simulation - lagrangian stochastic one particle model). The initial and boundary conditions are provided by a boundary layer model forecast, and local meteorological observations validate the wind and temperature forecast with good results. The smoke plume is modeled by the continuous emission of fluid particles, initiated 4 h before the time of the satellite image in order to allow the model spin-up. Due to the lack of technical information about the fire, the emission parameters required by the model are estimated considering the dimensions of the burnt area and the products stored there. The spatial orientation and horizontal lateral extension of the modeled plume coincide with the smoke plume clearly visible in the satellite image. The conclusion of the study is that it is possible to use LES-STO with initial and boundary conditions provided by operational meteorological forecasts to make a diagnosis of those areas that could be affected by accidental emissions.
publishDate 2022
dc.date.none.fl_str_mv 2022-04
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/11336/221408
Aguirre, Cesar Augusto; Berri, Guillermo Jorge; Dezzutti, Mariana Clara; Queirel, Juan Martin; Marcos, Eliana Cecilia; et al.; Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model; Elsevier; Atmospheric Environment: X; 14; 100172; 4-2022; 1-11
2590-1621
CONICET Digital
CONICET
url http://hdl.handle.net/11336/221408
identifier_str_mv Aguirre, Cesar Augusto; Berri, Guillermo Jorge; Dezzutti, Mariana Clara; Queirel, Juan Martin; Marcos, Eliana Cecilia; et al.; Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled model; Elsevier; Atmospheric Environment: X; 14; 100172; 4-2022; 1-11
2590-1621
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.sciencedirect.com/science/article/pii/S2590162122000260
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aeaoa.2022.100172
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
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 13.13397

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