1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/43T9GN5 |
Repositório | sid.inpe.br/mtc-m21c/2021/01.05.15.14 (acesso restrito) |
Última Atualização | 2021:01.05.15.14.51 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2021/01.05.15.14.51 |
Última Atualização dos Metadados | 2022:04.03.22.28.00 (UTC) administrator |
DOI | 10.1007/s11069-020-04324-x |
ISSN | 0921-030X |
Chave de Citação | ÁvilaAlvaMendAmor:2021:BaStVi |
Título | The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models ![](http://mtc-m21c.sid.inpe.br/col/dpi.inpe.br/banon/2000/01.23.20.24/doc/externalLink.gif) |
Ano | 2021 |
Mês | Jan. |
Data de Acesso | 30 jun. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 2649 KiB |
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2. Contextualização | |
Autor | 1 Ávila, Frederico Fernandes de 2 Alvalá, Regina Célia dos Santos 3 Mendes, Rodolfo M. 4 Amore, Diogo J. |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JJ59 |
ORCID | 1 0000-0003-2290-4564 2 0000-0002-7528-5026 3 0000-0003-1833-3084 4 0000-0001-8733-7383 |
Grupo | 1 DIIAV-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) 3 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) 4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) |
Endereço de e-Mail do Autor | 1 fernandesavila@hotmail.com |
Revista | Natural Hazards |
Volume | 105 |
Número | 1 |
Páginas | 1139-1161 |
Nota Secundária | A1_ENGENHARIAS_I A2_GEOGRAFIA A2_CIÊNCIAS_AGRÁRIAS_I B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS |
Histórico (UTC) | 2021-01-05 15:14:51 :: simone -> administrator :: 2021-01-05 15:14:53 :: administrator -> simone :: 2021 2021-01-05 15:16:30 :: simone -> administrator :: 2021 2022-04-03 22:28:00 :: administrator -> simone :: 2021 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Landslides · Hillslope stability · Land use and land cover · TRIGRS |
Resumo | The objective of this study was to use physically based models to carry out a back-analysis of the set of factors that may have infuenced slope instability and the consequent development of 65 landslides in the Bengalar Stream basin, located in the Northern Region of São José dos Campos, São Paulo State, Brazil, associated with rainfall between March 7 and 8, 2016. Unlike other models, the FS FIORI model used in this study allowed extra variables to be added to the model that can infuence hillslope stability and is associated with land use and land cover (LULC) variability. Analysis of intense short-term and accumulated long-term rainfall infuence on slope instability was possible via a TRIGRS model. A comparative analysis was also carried out between a static model (FS FIORI) and a transient model (TRIGRS) which considered the factor of safety and pore pressure to be a function of precipitation and infltration rates. Despite the diferences in their hydrological components, both models were shown to present relatively similar and demonstrated stability rates coherence, according to the characteristics of each model. The FS FIORI model only classifed 1.3% of the entire basin as unstable (FS≤1), whereas the TRIGRS model classifed 4.5% and 2.9% of the entire basin as unstable in scenarios 1 and 2, respectively. The validity and the accuracy of each model were tested via a receiver operating characteristic (ROC) curve and an area under the curve (AUC). AUC values were: 0.6552 for the FS FIORI model, and 0.7238 and 0.7186 for scenarios 1 and 2 of the TRIGRS model, respectively. The models performed well, with values considered to be acceptable. These results demonstrate an advancement in slope stability modeling studies, including conditioning factors associated with LULC for slope stability calculations. |
Área | CST |
Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > The influence of... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | avila_influence.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft12 |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.58.46 6 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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