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 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 10 4 m², and maximum volume 9.20 x 10 5 m³ and minimum volume 4.08 x10 5 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.

Assessment of mine slopes stability conditions using a decision tree approach

“…The application of machine learning techniques has been increasing in mining, with positive impacts, in recent years. In addition to the studies already mentioned, some studies with machine learning appli-cations can be highlighted are, e.g., Klen & Lana (2014), Silva et al (2018), Baretta et al (2019), Okada et al (2019), Santos et al (2020). The methodology presented allows different users, target audiences in general, to apply the model quickly and accurately, optimizing decisions in mining operations.…”

Influence of parameters on the development of landslides in the Estrada de Ferro Vitória-Minas slopes

“…This phenomenon can cause damages and losses to people and exposed structures, affecting various kinds of enterprises. There are different scopes for the previous studies related to slope landslides, with different objectives, for example, relationship propositions either to predict landslide volumes on slopes (Silva et al, 2018;Guzzetti et al, 2009;Guo et al, 2014;Lee & Chi, 2011;Silva et al, 2021); classifications of landslide types (Varnes, 1978;IAEG, 1990), or identification of the events that trigger landslide development (Terzaghi, 1950). This research was developed taking as a reference the railway called Estrada de Ferro Vitória-Minas of the company Vale S.A., which is located in the southeast region of Brazil, between Minas Gerais and Espírito Santo states (Figure 1).…”