A systematic review and bibliometric analysis of wildland fire behavior modeling
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/84023 |
Resumo: | Wildland fires have become a major research subject among the national and international research community. Different simulation models have been developed to prevent this phenomenon. Nevertheless, fire propagation models are, until now, challenging due to the complexity of physics and chemistry, high computational requirements to solve physical models, and the difficulty defining the input parameters. Nevertheless, researchers have made immense progress in understanding wildland fire spread. This work reviews the state-of-the-art and lessons learned from the relevant literature to drive further advancement and provide the scientific community with a comprehensive summary of the main developments. The major findings or general research-based trends were related to the advancement of technology and computational resources, as well as advances in the physical interpretation of the acceleration of wildfires. Although wildfires result from the interaction between fundamental processes that govern the combustion at the solid- and gas-phase, the subsequent heat transfer and ignition of adjacent fuels are still not fully resolved at a large scale. However, there are some research gaps and emerging trends within this issue that should be given more attention in future investigations. Hence, in view of further improvements in wildfire modeling, increases in computational resources will allow upscaling of physical models, and technological advancements are being developed to provide near real-time predictive fire behavior modeling. Thus, the development of two-way coupled models with weather prediction and fire propagation models is the main direction of future work. |
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A systematic review and bibliometric analysis of wildland fire behavior modelingCFDGISMathematical modelingModelingWildfire spreadScience & TechnologyWildland fires have become a major research subject among the national and international research community. Different simulation models have been developed to prevent this phenomenon. Nevertheless, fire propagation models are, until now, challenging due to the complexity of physics and chemistry, high computational requirements to solve physical models, and the difficulty defining the input parameters. Nevertheless, researchers have made immense progress in understanding wildland fire spread. This work reviews the state-of-the-art and lessons learned from the relevant literature to drive further advancement and provide the scientific community with a comprehensive summary of the main developments. The major findings or general research-based trends were related to the advancement of technology and computational resources, as well as advances in the physical interpretation of the acceleration of wildfires. Although wildfires result from the interaction between fundamental processes that govern the combustion at the solid- and gas-phase, the subsequent heat transfer and ignition of adjacent fuels are still not fully resolved at a large scale. However, there are some research gaps and emerging trends within this issue that should be given more attention in future investigations. Hence, in view of further improvements in wildfire modeling, increases in computational resources will allow upscaling of physical models, and technological advancements are being developed to provide near real-time predictive fire behavior modeling. Thus, the development of two-way coupled models with weather prediction and fire propagation models is the main direction of future work.This work was supported by the Portuguese Foundation for Science and Technology (FCT) within the R&D Units Project Scope UIDB/00319/2020 (ALGORITMI) and R&D Units Project Scope UIDP/04077/2020 (METRICS) and through project: PCIF/GRF/0141/2019: “O3F—An Optimization Framework to reduce Forest Fire”Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoSilva, João Pedro VasconcelosMarques, JoãoGonçalves, Inês HenriquesBrito, RuiTeixeira, S. F. C. F.Teixeira, J. CarlosAlvelos, Filipe Pereira e2022-12-052022-12-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/84023engSilva, J.; Marques, J.; Gonçalves, I.; Brito, R.; Teixeira, S.; Teixeira, J.; Alvelos, F. A Systematic Review and Bibliometric Analysis of Wildland Fire Behavior Modeling. Fluids 2022, 7, 374. https://doi.org/10.3390/fluids71203742311-552110.3390/fluids7120374374https://www.mdpi.com/2311-5521/7/12/374info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-13T01:25:31Zoai:repositorium.sdum.uminho.pt:1822/84023Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:24:43.239846Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
title |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
spellingShingle |
A systematic review and bibliometric analysis of wildland fire behavior modeling Silva, João Pedro Vasconcelos CFD GIS Mathematical modeling Modeling Wildfire spread Science & Technology |
title_short |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
title_full |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
title_fullStr |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
title_full_unstemmed |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
title_sort |
A systematic review and bibliometric analysis of wildland fire behavior modeling |
author |
Silva, João Pedro Vasconcelos |
author_facet |
Silva, João Pedro Vasconcelos Marques, João Gonçalves, Inês Henriques Brito, Rui Teixeira, S. F. C. F. Teixeira, J. Carlos Alvelos, Filipe Pereira e |
author_role |
author |
author2 |
Marques, João Gonçalves, Inês Henriques Brito, Rui Teixeira, S. F. C. F. Teixeira, J. Carlos Alvelos, Filipe Pereira e |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Silva, João Pedro Vasconcelos Marques, João Gonçalves, Inês Henriques Brito, Rui Teixeira, S. F. C. F. Teixeira, J. Carlos Alvelos, Filipe Pereira e |
dc.subject.por.fl_str_mv |
CFD GIS Mathematical modeling Modeling Wildfire spread Science & Technology |
topic |
CFD GIS Mathematical modeling Modeling Wildfire spread Science & Technology |
description |
Wildland fires have become a major research subject among the national and international research community. Different simulation models have been developed to prevent this phenomenon. Nevertheless, fire propagation models are, until now, challenging due to the complexity of physics and chemistry, high computational requirements to solve physical models, and the difficulty defining the input parameters. Nevertheless, researchers have made immense progress in understanding wildland fire spread. This work reviews the state-of-the-art and lessons learned from the relevant literature to drive further advancement and provide the scientific community with a comprehensive summary of the main developments. The major findings or general research-based trends were related to the advancement of technology and computational resources, as well as advances in the physical interpretation of the acceleration of wildfires. Although wildfires result from the interaction between fundamental processes that govern the combustion at the solid- and gas-phase, the subsequent heat transfer and ignition of adjacent fuels are still not fully resolved at a large scale. However, there are some research gaps and emerging trends within this issue that should be given more attention in future investigations. Hence, in view of further improvements in wildfire modeling, increases in computational resources will allow upscaling of physical models, and technological advancements are being developed to provide near real-time predictive fire behavior modeling. Thus, the development of two-way coupled models with weather prediction and fire propagation models is the main direction of future work. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-05 2022-12-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/84023 |
url |
https://hdl.handle.net/1822/84023 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, J.; Marques, J.; Gonçalves, I.; Brito, R.; Teixeira, S.; Teixeira, J.; Alvelos, F. A Systematic Review and Bibliometric Analysis of Wildland Fire Behavior Modeling. Fluids 2022, 7, 374. https://doi.org/10.3390/fluids7120374 2311-5521 10.3390/fluids7120374 374 https://www.mdpi.com/2311-5521/7/12/374 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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