Modelling forest fires using complex networks
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
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/10400.21/14205 |
Resumo: | Forest fires have been a major threat to the environment throughout history. In order to mitigate its consequences, we present, in a first of a series of works, a mathematical model with the purpose of predicting fire spreading in a given land portion divided into patches, considering the area and the rate of spread of each patch as inputs. The rate of spread can be estimated from previous knowledge on fuel availability, weather and terrain conditions. We compute the time duration of the spreading process in a land patch in order to construct and parametrize a landscape network, using cellular automata simulations. We use the multilayer network model to propose a network of networks at the landscape scale, where the nodes are the local patches, each with their own spreading dynamics. We compute some respective network measures and aim, in further work, for the establishment of a fire-break structure according to increasing accuracy simulation results. |
id |
RCAP_fde853d3e48e04f80890ed717297ae76 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/14205 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Modelling forest fires using complex networksComplex networksMultilayer networksFire spreadingCellular automataForest firesForest fires have been a major threat to the environment throughout history. In order to mitigate its consequences, we present, in a first of a series of works, a mathematical model with the purpose of predicting fire spreading in a given land portion divided into patches, considering the area and the rate of spread of each patch as inputs. The rate of spread can be estimated from previous knowledge on fuel availability, weather and terrain conditions. We compute the time duration of the spreading process in a land patch in order to construct and parametrize a landscape network, using cellular automata simulations. We use the multilayer network model to propose a network of networks at the landscape scale, where the nodes are the local patches, each with their own spreading dynamics. We compute some respective network measures and aim, in further work, for the establishment of a fire-break structure according to increasing accuracy simulation results.MDPIRCIPLPerestrelo, SaraGrácio, ClaraAlmeida Ribeiro, NunoLopes, Luís2022-01-26T11:28:18Z2021-09-282021-09-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14205engPERESTRELO, Sara; [et al] – Modelling forest fires using complex networks. Mathematical and Computational Applications. ISSN 1300-686X. Vol. 26, N.º 4 (2021), pp. 1-17.1300-686X10.3390/mca260400682297-8747info: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:RCAAP2023-08-03T10:10:03Zoai:repositorio.ipl.pt:10400.21/14205Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:03.444389Repositório 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 |
Modelling forest fires using complex networks |
title |
Modelling forest fires using complex networks |
spellingShingle |
Modelling forest fires using complex networks Perestrelo, Sara Complex networks Multilayer networks Fire spreading Cellular automata Forest fires |
title_short |
Modelling forest fires using complex networks |
title_full |
Modelling forest fires using complex networks |
title_fullStr |
Modelling forest fires using complex networks |
title_full_unstemmed |
Modelling forest fires using complex networks |
title_sort |
Modelling forest fires using complex networks |
author |
Perestrelo, Sara |
author_facet |
Perestrelo, Sara Grácio, Clara Almeida Ribeiro, Nuno Lopes, Luís |
author_role |
author |
author2 |
Grácio, Clara 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 Grácio, Clara Almeida Ribeiro, Nuno Lopes, Luís |
dc.subject.por.fl_str_mv |
Complex networks Multilayer networks Fire spreading Cellular automata Forest fires |
topic |
Complex networks Multilayer networks Fire spreading Cellular automata Forest fires |
description |
Forest fires have been a major threat to the environment throughout history. In order to mitigate its consequences, we present, in a first of a series of works, a mathematical model with the purpose of predicting fire spreading in a given land portion divided into patches, considering the area and the rate of spread of each patch as inputs. The rate of spread can be estimated from previous knowledge on fuel availability, weather and terrain conditions. We compute the time duration of the spreading process in a land patch in order to construct and parametrize a landscape network, using cellular automata simulations. We use the multilayer network model to propose a network of networks at the landscape scale, where the nodes are the local patches, each with their own spreading dynamics. We compute some respective network measures and aim, in further work, for the establishment of a fire-break structure according to increasing accuracy simulation results. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-28 2021-09-28T00:00:00Z 2022-01-26T11:28:18Z |
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/10400.21/14205 |
url |
http://hdl.handle.net/10400.21/14205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PERESTRELO, Sara; [et al] – Modelling forest fires using complex networks. Mathematical and Computational Applications. ISSN 1300-686X. Vol. 26, N.º 4 (2021), pp. 1-17. 1300-686X 10.3390/mca26040068 2297-8747 |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133491860865024 |