Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.20502/rbg.v23i2.2084 http://hdl.handle.net/11449/240661 |
Resumo: | The Serra do Mar mountain range is the main site of shallow-landslides occurrence in Brazil. The application of physically-based models is an effective method to predict landslide susceptibility, which is of great importance in hazard assessments and urban-planning studies. Thus, the objective of this study is to compare landslide susceptibility scenarios created with SHALSTAB and SINMAP at two large watersheds (Mogi and Perequê) in Cubatão, Latin America’s largest petrochemical site. Model calibration is based on the landslide scars inventory of the 1985 event, the geotechnical parameters derived from soil samples and the topography sourced from a 5 m resolution DEM. Using the Receiver Operating Characteristics (ROC) analysis to assess model performance, SHALSTAB emerges as the best-fit model for both watersheds due to higher concentration of landslide scars in unstable areas (true positive results) and higher global accuracy. Even though SINMAP had similar degree of success, it was slightly less accurate and failed more often in the identification of potentially unstable areas. Comparative performance studies of physically-based models are fundamental to support effective and reliable hazard assessments in mountain regions, providing an outlook in how to proceed with more detailed studies. |
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Model-based assessment of shallow landslides susceptibility at a petrochemical site in BrazilAnálise da suscetibilidade a escorregamentos por meio de modelos de base física em área petroquímica no BrasilSerra do MarSHALSTABSINMAPThe Serra do Mar mountain range is the main site of shallow-landslides occurrence in Brazil. The application of physically-based models is an effective method to predict landslide susceptibility, which is of great importance in hazard assessments and urban-planning studies. Thus, the objective of this study is to compare landslide susceptibility scenarios created with SHALSTAB and SINMAP at two large watersheds (Mogi and Perequê) in Cubatão, Latin America’s largest petrochemical site. Model calibration is based on the landslide scars inventory of the 1985 event, the geotechnical parameters derived from soil samples and the topography sourced from a 5 m resolution DEM. Using the Receiver Operating Characteristics (ROC) analysis to assess model performance, SHALSTAB emerges as the best-fit model for both watersheds due to higher concentration of landslide scars in unstable areas (true positive results) and higher global accuracy. Even though SINMAP had similar degree of success, it was slightly less accurate and failed more often in the identification of potentially unstable areas. Comparative performance studies of physically-based models are fundamental to support effective and reliable hazard assessments in mountain regions, providing an outlook in how to proceed with more detailed studies.Universidade Estadual Paulista - UNESP Departamento de Geologia AplicadaUniversidad del Norte Departament of Physics and GeosciencesUniversidade Estadual Paulista - UNESP Departamento de Geologia AplicadaUniversidade Estadual Paulista (UNESP)Universidad del NorteCabral, Victor Carvalho [UNESP]Reis, Fábio Augusto Gomes Vieira [UNESP]Mendoza, Carolina MartinezOliveira, Alan de [UNESP]2023-03-01T20:27:16Z2023-03-01T20:27:16Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1394-1419http://dx.doi.org/10.20502/rbg.v23i2.2084Revista Brasileira de Geomorfologia, v. 23, n. 2, p. 1394-1419, 2022.2236-56641519-1540http://hdl.handle.net/11449/24066110.20502/rbg.v23i2.20842-s2.0-85136120769Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Geomorfologiainfo:eu-repo/semantics/openAccess2023-03-01T20:27:17Zoai:repositorio.unesp.br:11449/240661Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:11:00.793821Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil Análise da suscetibilidade a escorregamentos por meio de modelos de base física em área petroquímica no Brasil |
title |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
spellingShingle |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil Cabral, Victor Carvalho [UNESP] Serra do Mar SHALSTAB SINMAP |
title_short |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
title_full |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
title_fullStr |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
title_full_unstemmed |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
title_sort |
Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil |
author |
Cabral, Victor Carvalho [UNESP] |
author_facet |
Cabral, Victor Carvalho [UNESP] Reis, Fábio Augusto Gomes Vieira [UNESP] Mendoza, Carolina Martinez Oliveira, Alan de [UNESP] |
author_role |
author |
author2 |
Reis, Fábio Augusto Gomes Vieira [UNESP] Mendoza, Carolina Martinez Oliveira, Alan de [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidad del Norte |
dc.contributor.author.fl_str_mv |
Cabral, Victor Carvalho [UNESP] Reis, Fábio Augusto Gomes Vieira [UNESP] Mendoza, Carolina Martinez Oliveira, Alan de [UNESP] |
dc.subject.por.fl_str_mv |
Serra do Mar SHALSTAB SINMAP |
topic |
Serra do Mar SHALSTAB SINMAP |
description |
The Serra do Mar mountain range is the main site of shallow-landslides occurrence in Brazil. The application of physically-based models is an effective method to predict landslide susceptibility, which is of great importance in hazard assessments and urban-planning studies. Thus, the objective of this study is to compare landslide susceptibility scenarios created with SHALSTAB and SINMAP at two large watersheds (Mogi and Perequê) in Cubatão, Latin America’s largest petrochemical site. Model calibration is based on the landslide scars inventory of the 1985 event, the geotechnical parameters derived from soil samples and the topography sourced from a 5 m resolution DEM. Using the Receiver Operating Characteristics (ROC) analysis to assess model performance, SHALSTAB emerges as the best-fit model for both watersheds due to higher concentration of landslide scars in unstable areas (true positive results) and higher global accuracy. Even though SINMAP had similar degree of success, it was slightly less accurate and failed more often in the identification of potentially unstable areas. Comparative performance studies of physically-based models are fundamental to support effective and reliable hazard assessments in mountain regions, providing an outlook in how to proceed with more detailed studies. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-01 2023-03-01T20:27:16Z 2023-03-01T20:27:16Z |
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://dx.doi.org/10.20502/rbg.v23i2.2084 Revista Brasileira de Geomorfologia, v. 23, n. 2, p. 1394-1419, 2022. 2236-5664 1519-1540 http://hdl.handle.net/11449/240661 10.20502/rbg.v23i2.2084 2-s2.0-85136120769 |
url |
http://dx.doi.org/10.20502/rbg.v23i2.2084 http://hdl.handle.net/11449/240661 |
identifier_str_mv |
Revista Brasileira de Geomorfologia, v. 23, n. 2, p. 1394-1419, 2022. 2236-5664 1519-1540 10.20502/rbg.v23i2.2084 2-s2.0-85136120769 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira de Geomorfologia |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1394-1419 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128229538529280 |