A multi-scale network with percolation model to describe the spreading of forest fires
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: | http://hdl.handle.net/10400.21/14322 |
Resumo: | Forest fires have been a major threat to forest ecosystems and its biodiversity, as well as the environment in general, particularly in the Mediterranean regions. To mitigate fire spreading, this study aims at finding a fire-break solution for territories prone to fire occurrence. To the effect, here follows a model to map and predict phase transitions in fire regimes (spanning fires vs. penetrating fires) based on terrain morphology. The structure consists of a 2-scale network using site percolation and SIR epidemiology rules in a cellular automata to model local fire Dynamics. The target area for the application is the region of Serra de Ossa in Portugal, due to its wildfire incidence. The study considers the cases for a Moore neighbourhood of warm cells of radius 1 and 2 and also considers a heterogeneous terrain with 3 classes of vegetation. Phase transitions are found for different combinations of fire risk for each of these classes and use these values to parametrize the resulting landscape network. |
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A multi-scale network with percolation model to describe the spreading of forest firesMulti-scale networkPercolationCellular automataFire spreadingForest firesSerra de OssaForest fires have been a major threat to forest ecosystems and its biodiversity, as well as the environment in general, particularly in the Mediterranean regions. To mitigate fire spreading, this study aims at finding a fire-break solution for territories prone to fire occurrence. To the effect, here follows a model to map and predict phase transitions in fire regimes (spanning fires vs. penetrating fires) based on terrain morphology. The structure consists of a 2-scale network using site percolation and SIR epidemiology rules in a cellular automata to model local fire Dynamics. The target area for the application is the region of Serra de Ossa in Portugal, due to its wildfire incidence. The study considers the cases for a Moore neighbourhood of warm cells of radius 1 and 2 and also considers a heterogeneous terrain with 3 classes of vegetation. Phase transitions are found for different combinations of fire risk for each of these classes and use these values to parametrize the resulting landscape network.MDPIRCIPLPerestrelo, SaraC., GrácioAlmeida Ribeiro, NunoLopes, Luís2022-02-21T14:41:37Z2022-02-142022-02-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14322engPERESTRELO, Sara Aleixo; [et al] – A multi-scale network with percolation model to describe the spreading of forest fires. Mathematics. eISSN 2227-7390. Vol. 10, N.º 4 (2022), pp. 1-20.10.3390/math100405882227-7390info: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:RCAAP2023-08-03T10:10:19Zoai:repositorio.ipl.pt:10400.21/14322Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:08.779735Repositório 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 multi-scale network with percolation model to describe the spreading of forest fires |
title |
A multi-scale network with percolation model to describe the spreading of forest fires |
spellingShingle |
A multi-scale network with percolation model to describe the spreading of forest fires Perestrelo, Sara Multi-scale network Percolation Cellular automata Fire spreading Forest fires Serra de Ossa |
title_short |
A multi-scale network with percolation model to describe the spreading of forest fires |
title_full |
A multi-scale network with percolation model to describe the spreading of forest fires |
title_fullStr |
A multi-scale network with percolation model to describe the spreading of forest fires |
title_full_unstemmed |
A multi-scale network with percolation model to describe the spreading of forest fires |
title_sort |
A multi-scale network with percolation model to describe the spreading of forest fires |
author |
Perestrelo, Sara |
author_facet |
Perestrelo, Sara C., Grácio Almeida Ribeiro, Nuno Lopes, Luís |
author_role |
author |
author2 |
C., Grácio Almeida Ribeiro, Nuno Lopes, Luís |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Perestrelo, Sara C., Grácio Almeida Ribeiro, Nuno Lopes, Luís |
dc.subject.por.fl_str_mv |
Multi-scale network Percolation Cellular automata Fire spreading Forest fires Serra de Ossa |
topic |
Multi-scale network Percolation Cellular automata Fire spreading Forest fires Serra de Ossa |
description |
Forest fires have been a major threat to forest ecosystems and its biodiversity, as well as the environment in general, particularly in the Mediterranean regions. To mitigate fire spreading, this study aims at finding a fire-break solution for territories prone to fire occurrence. To the effect, here follows a model to map and predict phase transitions in fire regimes (spanning fires vs. penetrating fires) based on terrain morphology. The structure consists of a 2-scale network using site percolation and SIR epidemiology rules in a cellular automata to model local fire Dynamics. The target area for the application is the region of Serra de Ossa in Portugal, due to its wildfire incidence. The study considers the cases for a Moore neighbourhood of warm cells of radius 1 and 2 and also considers a heterogeneous terrain with 3 classes of vegetation. Phase transitions are found for different combinations of fire risk for each of these classes and use these values to parametrize the resulting landscape network. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-21T14:41:37Z 2022-02-14 2022-02-14T00:00:00Z |
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 |
http://hdl.handle.net/10400.21/14322 |
url |
http://hdl.handle.net/10400.21/14322 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PERESTRELO, Sara Aleixo; [et al] – A multi-scale network with percolation model to describe the spreading of forest fires. Mathematics. eISSN 2227-7390. Vol. 10, N.º 4 (2022), pp. 1-20. 10.3390/math10040588 2227-7390 |
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 |
MDPI |
publisher.none.fl_str_mv |
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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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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1799133492779417600 |