Range and impact analysis of translational landslides: a case study in Ponte Nova, Brazil

ABSTRACT: Translational soil landslides are relatively common geotechnical phenomena in both natural and artificial slopes, with significant relevance in geotechnical engineering and risk management. These events often cause severe damage to infrastructure, environmental impacts, and human losses in vulnerable areas. However, predicting the travel distance of these soil masses after failure is a considerable challenge due to soil variability and the lack of a reliable database. Soil properties such as grain size distribution, moisture content, and shear strength directly influence this behavior. This study conducted a characterization of local soils, with predictive runout analyses on a slope in Ponte Nova, Minas Gerais, Brazil, using back-analysis data from an actual failure to quantify the traveled distance and potential landslide impact. The results contribute to a better understanding of soil movement and made it possible to quantify the extent of landslides and their impacts on surrounding areas, providing valuable insights for planning and risk mitigation in susceptible regions.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.56952/arma-2025-0718
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Range and impact analysis of translational landslides: a case study in Ponte Nova, Brazil

Ana Carneiro, A.M. Ilambwetsi, Eduardo Antônio Gomes Marques, L.O.F. Dias et al.
Landslides and related hazards
article

Range and impact analysis of translational landslides: a case study in Ponte Nova, Brazil

Ana Carneiro, A.M. Ilambwetsi, Eduardo Antônio Gomes Marques, L.O.F. Dias, C. Cláuver
article en

Abstract

ABSTRACT: Translational soil landslides are relatively common geotechnical phenomena in both natural and artificial slopes, with significant relevance in geotechnical engineering and risk management. These events often cause severe damage to infrastructure, environmental impacts, and human losses in vulnerable areas. However, predicting the travel distance of these soil masses after failure is a considerable challenge due to soil variability and the lack of a reliable database. Soil properties such as grain size distribution, moisture content, and shear strength directly influence this behavior. This study conducted a characterization of local soils, with predictive runout analyses on a slope in Ponte Nova, Minas Gerais, Brazil, using back-analysis data from an actual failure to quantify the traveled distance and potential landslide impact. The results contribute to a better understanding of soil movement and made it possible to quantify the extent of landslides and their impacts on surrounding areas, providing valuable insights for planning and risk mitigation in susceptible regions.

Universidade Federal de Viçosa (BR)
Openalex Percentile: Top 73%
Landslides and related hazards
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.