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

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...

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Main Authors: Denise de Fátima Santos da Silva, Allan Erlikhman Medeiros Santos, Bruno Trindade Ferreira, Tiago Martins Pereira, Rosyelle Cristina Corteletti
Format: Article
Language:English
Published: Fundação Gorceix
Series:REM: International Engineering Journal
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167&lng=en&tlng=en
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author Denise de Fátima Santos da Silva
Allan Erlikhman Medeiros Santos
Bruno Trindade Ferreira
Tiago Martins Pereira
Rosyelle Cristina Corteletti
author_facet Denise de Fátima Santos da Silva
Allan Erlikhman Medeiros Santos
Bruno Trindade Ferreira
Tiago Martins Pereira
Rosyelle Cristina Corteletti
author_sort Denise de Fátima Santos da Silva
collection DOAJ
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.
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spelling doaj.art-dce412ce656e4f8c9666b610180e51782022-12-22T01:18:11ZengFundação GorceixREM: International Engineering Journal2448-167X71216717310.1590/0370-44672017710173S2448-167X2018000200167Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-MinasDenise de Fátima Santos da SilvaAllan Erlikhman Medeiros SantosBruno Trindade FerreiraTiago Martins PereiraRosyelle Cristina CortelettiAbstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167&lng=en&tlng=engeotechnical prioritization of intervention of railway slopesEstrada de Ferro Vitória-Minascluster analysismultivariate statistics applied to geotechnical databaselandslide scars
spellingShingle Denise de Fátima Santos da Silva
Allan Erlikhman Medeiros Santos
Bruno Trindade Ferreira
Tiago Martins Pereira
Rosyelle Cristina Corteletti
Cluster analysis for slope geotechnical prioritization of intervention for the Estrada de Ferro Vitória-Minas
REM: International Engineering Journal
geotechnical prioritization of intervention of railway slopes
Estrada de Ferro Vitória-Minas
cluster analysis
multivariate statistics applied to geotechnical database
landslide scars
title 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_short 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 vitoria minas
topic geotechnical prioritization of intervention of railway slopes
Estrada de Ferro Vitória-Minas
cluster analysis
multivariate statistics applied to geotechnical database
landslide scars
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2018000200167&lng=en&tlng=en
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