Turbulence and fire-spotting effects into wild-land fire simulators

This paper presents a mathematical approach to model the effects and the role of phenomena with random nature such as turbulence and fire-spotting into the existing wildfire simulators. The formulation proposes that the propagation of the fire-front is the sum of a drifting component (obtained from...

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Autores: Kaur, I., Mentrelli, A., Bosseur, F., Filippi, J.-B., Pagnini, G.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Basque Center for Applied Mathematics (BCAM)
Repositorio:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/188
Acceso en línea:http://hdl.handle.net/20.500.11824/188
Access Level:acceso abierto
Palabra clave:Discrete Event System Specification
Fire simulators
Fire-spotting
ForeFire
Level Set Method
Random phenomena
Turbulence
Wildland fire propagation
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spelling Turbulence and fire-spotting effects into wild-land fire simulatorsKaur, I.Mentrelli, A.Bosseur, F.Filippi, J.-B.Pagnini, G.Discrete Event System SpecificationFire simulatorsFire-spottingForeFireLevel Set MethodRandom phenomenaTurbulenceWildland fire propagationThis paper presents a mathematical approach to model the effects and the role of phenomena with random nature such as turbulence and fire-spotting into the existing wildfire simulators. The formulation proposes that the propagation of the fire-front is the sum of a drifting component (obtained from an existing wildfire simulator without turbulence and fire-spotting) and a random fluctuating component. The modelling of the random effects is embodied in a probability density function accounting for the fluctuations around the fire perimeter which is given by the drifting component. In past, this formulation has been applied to include these random effects into a wildfire simulator based on an Eulerian moving interface method, namely the Level Set Method (LSM), but in this paper the same formulation is adapted for a wildfire simulator based on a Lagrangian front tracking technique, namely the Discrete Event System Specification (DEVS). The main highlight of the present study is the comparison of the performance of a Lagrangian and an Eulerian moving interface method when applied to wild-land fire propagation. Simple idealised numerical experiments are used to investigate the potential applicability of the proposed formulation to DEVS and to compare its behaviour with respect to the LSM. The results show that DEVS based wildfire propagation model qualitatively improves its performance (e.g., reproducing flank and back fire, increase in fire spread due to pre-heating of the fuel by hot air and firebrands, fire propagation across no fuel zones, secondary fire generation, ...) when random effects are included according to the present formulation. The performance of DEVS and LSM based wildfire models is comparable and the only differences which arise among the two are due to the differences in the geometrical construction of the direction of propagation. Though the results presented here are devoid of any validation exercise and provide only a proof of concept, they show a strong inclination towards an intended operational use. The existing LSM or DEVS based operational simulators like WRF-SFIRE and ForeFire respectively can serve as an ideal basis for the same.201620162016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/188reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Ingléshttp://www.sciencedirect.com/science/article/pii/S1007570416300752Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:bird.bcamath.org:20.500.11824/1882026-06-19T12:47:47Z
dc.title.none.fl_str_mv Turbulence and fire-spotting effects into wild-land fire simulators
title Turbulence and fire-spotting effects into wild-land fire simulators
spellingShingle Turbulence and fire-spotting effects into wild-land fire simulators
Kaur, I.
Discrete Event System Specification
Fire simulators
Fire-spotting
ForeFire
Level Set Method
Random phenomena
Turbulence
Wildland fire propagation
title_short Turbulence and fire-spotting effects into wild-land fire simulators
title_full Turbulence and fire-spotting effects into wild-land fire simulators
title_fullStr Turbulence and fire-spotting effects into wild-land fire simulators
title_full_unstemmed Turbulence and fire-spotting effects into wild-land fire simulators
title_sort Turbulence and fire-spotting effects into wild-land fire simulators
dc.creator.none.fl_str_mv Kaur, I.
Mentrelli, A.
Bosseur, F.
Filippi, J.-B.
Pagnini, G.
author Kaur, I.
author_facet Kaur, I.
Mentrelli, A.
Bosseur, F.
Filippi, J.-B.
Pagnini, G.
author_role author
author2 Mentrelli, A.
Bosseur, F.
Filippi, J.-B.
Pagnini, G.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Discrete Event System Specification
Fire simulators
Fire-spotting
ForeFire
Level Set Method
Random phenomena
Turbulence
Wildland fire propagation
topic Discrete Event System Specification
Fire simulators
Fire-spotting
ForeFire
Level Set Method
Random phenomena
Turbulence
Wildland fire propagation
description This paper presents a mathematical approach to model the effects and the role of phenomena with random nature such as turbulence and fire-spotting into the existing wildfire simulators. The formulation proposes that the propagation of the fire-front is the sum of a drifting component (obtained from an existing wildfire simulator without turbulence and fire-spotting) and a random fluctuating component. The modelling of the random effects is embodied in a probability density function accounting for the fluctuations around the fire perimeter which is given by the drifting component. In past, this formulation has been applied to include these random effects into a wildfire simulator based on an Eulerian moving interface method, namely the Level Set Method (LSM), but in this paper the same formulation is adapted for a wildfire simulator based on a Lagrangian front tracking technique, namely the Discrete Event System Specification (DEVS). The main highlight of the present study is the comparison of the performance of a Lagrangian and an Eulerian moving interface method when applied to wild-land fire propagation. Simple idealised numerical experiments are used to investigate the potential applicability of the proposed formulation to DEVS and to compare its behaviour with respect to the LSM. The results show that DEVS based wildfire propagation model qualitatively improves its performance (e.g., reproducing flank and back fire, increase in fire spread due to pre-heating of the fuel by hot air and firebrands, fire propagation across no fuel zones, secondary fire generation, ...) when random effects are included according to the present formulation. The performance of DEVS and LSM based wildfire models is comparable and the only differences which arise among the two are due to the differences in the geometrical construction of the direction of propagation. Though the results presented here are devoid of any validation exercise and provide only a proof of concept, they show a strong inclination towards an intended operational use. The existing LSM or DEVS based operational simulators like WRF-SFIRE and ForeFire respectively can serve as an ideal basis for the same.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/188
url http://hdl.handle.net/20.500.11824/188
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://www.sciencedirect.com/science/article/pii/S1007570416300752
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
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repository.mail.fl_str_mv
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