A Mathematical Programming Approach for a Wildfire Suppression Problem

Wildfires are natural recurrent events, that may be devastating if not addressed correctly. In these situations, where quick and accurate decisions are needed, Operations Research can be helpful for providing fast and robust solutions. This paper focuses on the response actions taken during the supp...

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Detalles Bibliográficos
Autores: Granda Chico, Bibiana, Vitoriano Villanueva, Begoña, Figueira, José R.
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/104710
Acceso en línea:https://hdl.handle.net/20.500.14352/104710
Access Level:acceso abierto
Palabra clave:Wildfire management
Wildfire suppression
Optimization
Mixed Integer Linear Programming
Investigación operativa (Matemáticas)
1207.07 Programación Entera
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oai_identifier_str oai:docta.ucm.es:20.500.14352/104710
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spelling A Mathematical Programming Approach for a Wildfire Suppression ProblemGranda Chico, BibianaVitoriano Villanueva, BegoñaFigueira, José R.Wildfire managementWildfire suppressionOptimizationMixed Integer Linear ProgrammingInvestigación operativa (Matemáticas)1207.07 Programación EnteraWildfires are natural recurrent events, that may be devastating if not addressed correctly. In these situations, where quick and accurate decisions are needed, Operations Research can be helpful for providing fast and robust solutions. This paper focuses on the response actions taken during the suppression stage of a wildfire. A mixed integer linear programming model is proposed to obtain a wildfire suppression strategy, including the wildfire behaviour changes induced by the solution. The selected wildfire suppression strategy is modelled in detail, pointing out which locations to control and their timing, based on available paths between them, avoiding engagement in dangerous situations. A computational study is carried out to determine the most suitable solver to provide exact solutions of the model. Also, a two-stage version of the model is proposed to deal with the multicriteria nature of the problem. A case study is also included to validate the model’s applicability, which is solved using the two proposed versions of the model and an iterative approach to compare their performance.SpringerUniversidad Complutense de Madrid20242024-01-0120242024-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/104710reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-108679RB-I00 MODELOS DE DECISION Y CIENCIA DE DATOS EN LOGISTICA DE DESASTRES, DESARROLLO Y SOSTENIBILIDADopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1047102026-06-02T12:44:21Z
dc.title.none.fl_str_mv A Mathematical Programming Approach for a Wildfire Suppression Problem
title A Mathematical Programming Approach for a Wildfire Suppression Problem
spellingShingle A Mathematical Programming Approach for a Wildfire Suppression Problem
Granda Chico, Bibiana
Wildfire management
Wildfire suppression
Optimization
Mixed Integer Linear Programming
Investigación operativa (Matemáticas)
1207.07 Programación Entera
title_short A Mathematical Programming Approach for a Wildfire Suppression Problem
title_full A Mathematical Programming Approach for a Wildfire Suppression Problem
title_fullStr A Mathematical Programming Approach for a Wildfire Suppression Problem
title_full_unstemmed A Mathematical Programming Approach for a Wildfire Suppression Problem
title_sort A Mathematical Programming Approach for a Wildfire Suppression Problem
dc.creator.none.fl_str_mv Granda Chico, Bibiana
Vitoriano Villanueva, Begoña
Figueira, José R.
author Granda Chico, Bibiana
author_facet Granda Chico, Bibiana
Vitoriano Villanueva, Begoña
Figueira, José R.
author_role author
author2 Vitoriano Villanueva, Begoña
Figueira, José R.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Wildfire management
Wildfire suppression
Optimization
Mixed Integer Linear Programming
Investigación operativa (Matemáticas)
1207.07 Programación Entera
topic Wildfire management
Wildfire suppression
Optimization
Mixed Integer Linear Programming
Investigación operativa (Matemáticas)
1207.07 Programación Entera
description Wildfires are natural recurrent events, that may be devastating if not addressed correctly. In these situations, where quick and accurate decisions are needed, Operations Research can be helpful for providing fast and robust solutions. This paper focuses on the response actions taken during the suppression stage of a wildfire. A mixed integer linear programming model is proposed to obtain a wildfire suppression strategy, including the wildfire behaviour changes induced by the solution. The selected wildfire suppression strategy is modelled in detail, pointing out which locations to control and their timing, based on available paths between them, avoiding engagement in dangerous situations. A computational study is carried out to determine the most suitable solver to provide exact solutions of the model. Also, a two-stage version of the model is proposed to deal with the multicriteria nature of the problem. A case study is also included to validate the model’s applicability, which is solved using the two proposed versions of the model and an iterative approach to compare their performance.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2024
2024-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/104710
url https://hdl.handle.net/20.500.14352/104710
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-108679RB-I00 MODELOS DE DECISION Y CIENCIA DE DATOS EN LOGISTICA DE DESASTRES, DESARROLLO Y SOSTENIBILIDAD
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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