Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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REM - International Engineering Journal |
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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 |
_version_ |
1754734690924756992 |