Volume 30, N. 3

September-December 2007

Algorithm Development for Incorporating Soil Physical Properties of each Different Soil Class in a Landslide Prediction Model (SHALSTAB)

Article

Volume 30, N. 3, September-December 2007 | DOWNLOAD PDF (8 downloads)

Abstract

The Shallow Stability Model (SHALSTAB) identifies shallow landslide susceptible areas, combining a steady state runoff model that estimates the topographically induced spatial variation in pore pressures with an infinite slope model for shallow landslides. Although the landslides present a strong topographic control, the variability of the soil properties significantly modifies the model results. Thus, the aim of this study was to develop an algorithm for incorporating soil physical properties for each different soil class in the SHALSTAB model, in order to analyze the influence of these parameters in landslides triggering. This approach allowed the model to have a better performance when compared with SHALSTAB results with constant values of soil properties (simple method). It contributed to a more effective prediction in shallow landslide susceptible areas. Key words: mathematical modeling, landslides, digital elevation model, SHALSTAB model.

Keywords: Mathematical modeling, Landslides, Digital elevation model, SHALSTAB model,


Submitted on January 01, 2007.
Final Acceptance on January 01, 2007.
Discussion open until January 01, 2007.
DOI: 10.28927/SR.303139