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

Autores
Aguirre, Cesar; Berri, Guillermo Jorge; Dezzutti, Mariana Clara; Queirel, Juan Martín; Marcos, Eliana; Sedano, Carlos; 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.
Facultad de Ciencias Astronómicas y Geofísicas
Materia
Ciencias Astronómicas
Fire
Smoke
Simulation
Stochastic
Satellite image
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/160471

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network_name_str SEDICI (UNLP)
spelling Atmospheric dispersion simulation of an accidental smoke plume using a heat diffusion algorithm into a LES-STO coupled modelAguirre, CesarBerri, Guillermo JorgeDezzutti, Mariana ClaraQueirel, Juan MartínMarcos, ElianaSedano, CarlosRondán,GuillermoCiencias AstronómicasFireSmokeSimulationStochasticSatellite imageA 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.Facultad de Ciencias Astronómicas y Geofísicas2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/160471enginfo:eu-repo/semantics/altIdentifier/issn/2590-1621info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aeaoa.2022.100172info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:42:01Zoai:sedici.unlp.edu.ar:10915/160471Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:42:01.586SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Ciencias Astronómicas
Fire
Smoke
Simulation
Stochastic
Satellite image
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
Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martín
Marcos, Eliana
Sedano, Carlos
Rondán,Guillermo
author Aguirre, Cesar
author_facet Aguirre, Cesar
Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martín
Marcos, Eliana
Sedano, Carlos
Rondán,Guillermo
author_role author
author2 Berri, Guillermo Jorge
Dezzutti, Mariana Clara
Queirel, Juan Martín
Marcos, Eliana
Sedano, Carlos
Rondán,Guillermo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Astronómicas
Fire
Smoke
Simulation
Stochastic
Satellite image
topic Ciencias Astronómicas
Fire
Smoke
Simulation
Stochastic
Satellite image
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.
Facultad de Ciencias Astronómicas y Geofísicas
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
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/160471
url http://sedici.unlp.edu.ar/handle/10915/160471
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2590-1621
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.aeaoa.2022.100172
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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