Semantic Scholar Open Access 2024 2 sitasi

Predisposition to Mass Movements on Railway Slopes: Insights from Field Data on Geotechnical and Pluviometric Influences

P. C. D. O. Campos Diego Leonardo Rosa Maria Esther Soares Marques Igor Paz

Abstrak

Monitoring natural slopes, embankments, and unstable slopes is crucial to reducing predisposition to mass movements, especially in areas with geotechnical instability and high rainfall. This study proposes a methodology to identify geotechnical and pluviometric triggers of mass movements in railway slopes. It involves registering slopes and embankments along the railroad, recording accumulated rainfall indices, and documenting associated accidents. The experimental program included a cadastral survey at a pilot site on the MRS company’s railway network in the Paraopeba branch, Minas Gerais, Brazil. Surface and subsurface drainage conditions, anthropic interventions, and modifications affecting slope stability were also examined. Additionally, the history of accidents involving geotechnical and regional rainfall indices were incorporated to identify potential triggering events for mass movements. The study found a good correlation between landslide records and geotechnical risk mapping but a low correlation between landslide records and rainfall isohyets. The latter result is attributed to the low density and poor distribution of rainfall data and active pluviometers in the region. Overall, understanding the geological–geotechnical characteristics of slopes and the correlation between accidents and rainfall indices provides valuable insights for predicting potential landslide occurrences.

Penulis (4)

P

P. C. D. O. Campos

D

Diego Leonardo Rosa

M

Maria Esther Soares Marques

I

Igor Paz

Format Sitasi

Campos, P.C.D.O., Rosa, D.L., Marques, M.E.S., Paz, I. (2024). Predisposition to Mass Movements on Railway Slopes: Insights from Field Data on Geotechnical and Pluviometric Influences. https://doi.org/10.3390/infrastructures9100168

Akses Cepat

Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3390/infrastructures9100168
Akses
Open Access ✓