Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas

Detalhes bibliográficos
Autor(a) principal: Silva,Denise de Fátima Santos da
Data de Publicação: 2018
Outros Autores: Santos,Allan Erlikhman Medeiros, Ferreira,Bruno Trindade, Pereira,Tiago Martins, Corteletti,Rosyelle Cristina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM - International Engineering Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167
Resumo: Abstract This article proposes the geotechnical prioritization of intervention of slopes with landslide scars for the Estrada de Ferro Vitória-Minas by cluster analysis and also the proposition of a relationship between area and volume in landslide scars. Cluster definition helps the decision-making associated to containment measures, mapping and study of landslides for the Estrada de Ferro Vitória-Minas. The database is composed of the variables: slope's height, inclination, scar area and scar volume. The distance measure used was Gower's index, with Ward's methods to build the clusters. Eight characteristic groups were identified. It was possible to identify stretches that need attention in relation to the propensity of landslides, such as Group 7, stretches 362+600, 093+xxxE and 419+000. Group 7 presented high values for the scarred area and volume, such as maximum area 9.75 x 104 m2 and minimum area 7.49 x 104 m2, and maximum volume 9.20 x 105 m3 and minimum volume 4.08 x105 m3. Group 7 presented high ranges for slope height and inclination. The set of results about Group 7 can be interpreted as stretches with a predisposition for landslides. In relation to intervention measures, Group 7 presents the sections with priority. The relationship between area and volume of landslide scars obtained by the research was compared with the relationships established in literature.
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spelling Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minasgeotechnical prioritization of intervention of railway slopesEstrada de Ferro Vitória-Minascluster analysismultivariate statistics applied to geotechnical databaselandslide scarsAbstract This article proposes the geotechnical prioritization of intervention of slopes with landslide scars for the Estrada de Ferro Vitória-Minas by cluster analysis and also the proposition of a relationship between area and volume in landslide scars. Cluster definition helps the decision-making associated to containment measures, mapping and study of landslides for the Estrada de Ferro Vitória-Minas. The database is composed of the variables: slope's height, inclination, scar area and scar volume. The distance measure used was Gower's index, with Ward's methods to build the clusters. Eight characteristic groups were identified. It was possible to identify stretches that need attention in relation to the propensity of landslides, such as Group 7, stretches 362+600, 093+xxxE and 419+000. Group 7 presented high values for the scarred area and volume, such as maximum area 9.75 x 104 m2 and minimum area 7.49 x 104 m2, and maximum volume 9.20 x 105 m3 and minimum volume 4.08 x105 m3. Group 7 presented high ranges for slope height and inclination. The set of results about Group 7 can be interpreted as stretches with a predisposition for landslides. In relation to intervention measures, Group 7 presents the sections with priority. The relationship between area and volume of landslide scars obtained by the research was compared with the relationships established in literature.Fundação Gorceix2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167REM - International Engineering Journal v.71 n.2 2018reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672017710173info:eu-repo/semantics/openAccessSilva,Denise de Fátima Santos daSantos,Allan Erlikhman MedeirosFerreira,Bruno TrindadePereira,Tiago MartinsCorteletti,Rosyelle Cristinaeng2018-04-09T00:00:00Zoai:scielo:S2448-167X2018000200167Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2018-04-09T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
title Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
spellingShingle Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
Silva,Denise de Fátima Santos da
geotechnical prioritization of intervention of railway slopes
Estrada de Ferro Vitória-Minas
cluster analysis
multivariate statistics applied to geotechnical database
landslide scars
title_short Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
title_full Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
title_fullStr Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
title_full_unstemmed Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
title_sort Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
author Silva,Denise de Fátima Santos da
author_facet Silva,Denise de Fátima Santos da
Santos,Allan Erlikhman Medeiros
Ferreira,Bruno Trindade
Pereira,Tiago Martins
Corteletti,Rosyelle Cristina
author_role author
author2 Santos,Allan Erlikhman Medeiros
Ferreira,Bruno Trindade
Pereira,Tiago Martins
Corteletti,Rosyelle Cristina
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva,Denise de Fátima Santos da
Santos,Allan Erlikhman Medeiros
Ferreira,Bruno Trindade
Pereira,Tiago Martins
Corteletti,Rosyelle Cristina
dc.subject.por.fl_str_mv geotechnical prioritization of intervention of railway slopes
Estrada de Ferro Vitória-Minas
cluster analysis
multivariate statistics applied to geotechnical database
landslide scars
topic geotechnical prioritization of intervention of railway slopes
Estrada de Ferro Vitória-Minas
cluster analysis
multivariate statistics applied to geotechnical database
landslide scars
description Abstract This article proposes the geotechnical prioritization of intervention of slopes with landslide scars for the Estrada de Ferro Vitória-Minas by cluster analysis and also the proposition of a relationship between area and volume in landslide scars. Cluster definition helps the decision-making associated to containment measures, mapping and study of landslides for the Estrada de Ferro Vitória-Minas. The database is composed of the variables: slope's height, inclination, scar area and scar volume. The distance measure used was Gower's index, with Ward's methods to build the clusters. Eight characteristic groups were identified. It was possible to identify stretches that need attention in relation to the propensity of landslides, such as Group 7, stretches 362+600, 093+xxxE and 419+000. Group 7 presented high values for the scarred area and volume, such as maximum area 9.75 x 104 m2 and minimum area 7.49 x 104 m2, and maximum volume 9.20 x 105 m3 and minimum volume 4.08 x105 m3. Group 7 presented high ranges for slope height and inclination. The set of results about Group 7 can be interpreted as stretches with a predisposition for landslides. In relation to intervention measures, Group 7 presents the sections with priority. The relationship between area and volume of landslide scars obtained by the research was compared with the relationships established in literature.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672017710173
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Gorceix
publisher.none.fl_str_mv Fundação Gorceix
dc.source.none.fl_str_mv REM - International Engineering Journal v.71 n.2 2018
reponame:REM - International Engineering Journal
instname:Fundação Gorceix (FG)
instacron:FG
instname_str Fundação Gorceix (FG)
instacron_str FG
institution FG
reponame_str REM - International Engineering Journal
collection REM - International Engineering Journal
repository.name.fl_str_mv REM - International Engineering Journal - Fundação Gorceix (FG)
repository.mail.fl_str_mv ||editor@rem.com.br
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