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Geotechnical and Geological Engineering

, Volume 36, Issue 4, pp 2331–2342 | Cite as

Soil Saturation and Stability Analysis of a Test Site Slope Using the Shallow Landslide Instability Prediction (SLIP) Model

  • Lorella Montrasio
  • Roberto Valentino
  • Claudia Meisina
Original paper
  • 55 Downloads

Abstract

It is well-known that the degree of saturation is a soil state condition able to represent the hydrological response of a shallow soil to weather conditions. One of the oldest models that referred on the degree of saturation to carry out the slope stability analysis at different scales, was the Shallow Landslide Instability (SLIP) Model. This paper shows how the SLIP model can be used to derive a simplified method to estimate multiple seasonal cycles of the mean degree of saturation of soil and to carry out the time-varying stability analysis of a test site slope. The simplified method to assess the degree of saturation uses easily available climatic data, such as air temperature and rainfall depth, and is validated through the comparison with long-term field measurements on a slope in Canneto Pavese, northern Italy. The SLIP model is also applied to obtain the safety factor of the slope, that was subjected to a rainfall-induced shallow landslide during the field monitoring period. Comparisons between field measurements and model outputs are used to validate the capability of the model of predicting both the mean degree of saturation of the topsoil and the observed unstable condition.

Keywords

Soil slip Degree of saturation Field monitoring Stability of slopes 

Notes

Acknowledgements

The authors thank Dr Massimiliano Bordoni for the technical support in the execution of the laboratory tests and field measurements.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Lorella Montrasio
    • 1
  • Roberto Valentino
    • 1
  • Claudia Meisina
    • 2
  1. 1.Department of Engineering and ArchitectureUniversity of ParmaParmaItaly
  2. 2.Department of Earth and Environmental SciencesUniversity of PaviaPaviaItaly

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