Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo

Detalhes bibliográficos
Autor(a) principal: Bonini, José Eduardo
Data de Publicação: 2020
Outros Autores: Bateira, Carlos, Dias, Vivian Cristina, Martins, Tiago Damas, Vieira, Bianca Carvalho
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/140700
Resumo: Shallow landslides are frequent natural processes in the Serra do Mar region, in southeast Brazil. The occupation of these areas leads to the creation of risk areas. The main objective was to compare the performance of the shallow landslide susceptibility analysis using morphometric parameters, SHALSTAB and Informative Value model. The study area was the Gurutuba river basin, in the municipality of Itaoca (São Paulo), selected due to massive quantities of shallow landslides triggered after an extreme rainfall event in 2014. The comparison between the models was made using the success rate and a contingency matrix. The model that presented better performance was the Informative Value. The SHALSTAB model has indicated as unstable sections of terrains without scars. These results are relevant for the purposes of regional planning of the municipality and also because there is a lack of studies of this type for the area.
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spelling Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor InformativoGeografiaGeographyShallow landslides are frequent natural processes in the Serra do Mar region, in southeast Brazil. The occupation of these areas leads to the creation of risk areas. The main objective was to compare the performance of the shallow landslide susceptibility analysis using morphometric parameters, SHALSTAB and Informative Value model. The study area was the Gurutuba river basin, in the municipality of Itaoca (São Paulo), selected due to massive quantities of shallow landslides triggered after an extreme rainfall event in 2014. The comparison between the models was made using the success rate and a contingency matrix. The model that presented better performance was the Informative Value. The SHALSTAB model has indicated as unstable sections of terrains without scars. These results are relevant for the purposes of regional planning of the municipality and also because there is a lack of studies of this type for the area.20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/140700por1958-921210.4000/confins.30323Bonini, José EduardoBateira, CarlosDias, Vivian CristinaMartins, Tiago DamasVieira, Bianca Carvalhoinfo: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:RCAAP2023-11-29T15:11:59Zoai:repositorio-aberto.up.pt:10216/140700Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:17:54.553565Repositório 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 Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
title Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
spellingShingle Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
Bonini, José Eduardo
Geografia
Geography
title_short Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
title_full Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
title_fullStr Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
title_full_unstemmed Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
title_sort Suscetibilidade a escorregamentos rasos a partir de parâmetros morfométricos e dos modelos SHALSTAB e do Valor Informativo
author Bonini, José Eduardo
author_facet Bonini, José Eduardo
Bateira, Carlos
Dias, Vivian Cristina
Martins, Tiago Damas
Vieira, Bianca Carvalho
author_role author
author2 Bateira, Carlos
Dias, Vivian Cristina
Martins, Tiago Damas
Vieira, Bianca Carvalho
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bonini, José Eduardo
Bateira, Carlos
Dias, Vivian Cristina
Martins, Tiago Damas
Vieira, Bianca Carvalho
dc.subject.por.fl_str_mv Geografia
Geography
topic Geografia
Geography
description Shallow landslides are frequent natural processes in the Serra do Mar region, in southeast Brazil. The occupation of these areas leads to the creation of risk areas. The main objective was to compare the performance of the shallow landslide susceptibility analysis using morphometric parameters, SHALSTAB and Informative Value model. The study area was the Gurutuba river basin, in the municipality of Itaoca (São Paulo), selected due to massive quantities of shallow landslides triggered after an extreme rainfall event in 2014. The comparison between the models was made using the success rate and a contingency matrix. The model that presented better performance was the Informative Value. The SHALSTAB model has indicated as unstable sections of terrains without scars. These results are relevant for the purposes of regional planning of the municipality and also because there is a lack of studies of this type for the area.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
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url https://hdl.handle.net/10216/140700
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dc.relation.none.fl_str_mv 1958-9212
10.4000/confins.30323
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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
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