A model for shallow landslide susceptibility - R.SHALSTAB

This model allows to apply the algorithm developed by Montgomery and Dietrich (1994) in GRASS GIS. According to these authors, the SHALSTAB model predicts the critical rainfall necessary for slope failure throughout a study area (Montgomery and Dietrich, 1994).

Requested input and output.

The command requires some input:

  • DEM a digital terrain model of the study area;
  • Raster map or single value for soil cohesion (N/m^2);
  • Raster map or single value for soil friction angle (°);
  • Raster map or single value for soil density (kg/m^3);
  • Raster map or single value for vertical thickness of soil (m);
  • Raster map or single value for hydraulic conductivity k (m/h);
  • Raster map or single value for root cohesion (N/m^2); (default = 0)
  • Raster map or single value for wet soil density (kg/m^3). (default = 2100)

The output are:

  • a landslide susceptibility map (value range from 1 to 7):
    • 1 Unconditionally Unstable
    • 2 (0-50 mm/day)
    • 3 (0-100 mm/day)
    • 4 (100-200 mm/day)
    • 5 (200-400 mm/day)
    • 6 (400-1000 mm/day)
    • 7 Stable
  • a map for of critical rainfall map (mm/day)

The predictive index of this model (stability index) is expressed in mm day−1 of critical rain and is variable on a scale of values, where lower values indicate a greater propensity for instability and higher values indicate a greater propensity for stability.

AUTHORS

Andrea Filipello, University of Turin, Italy

Daniele Strigaro, University of Milan - Bicocca, Italy

REFERENCES

http://trac.osgeo.org/grass/browser/grass-addons/grass7/raster/

Montgomery, D. R. and Dietrich, W. E.: A physically based model for the topographic control of shallow landsliding,Water Resour. Res., 30, 1153–1171, 1994.

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