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

2007; Volume: 30; Issue: 3 Linguagem: Inglês

10.28927/sr.303139

2675-5475

Verônica Moreira Ramos, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, André Luciancencov Redivo, Roberto Arnaldo Trancoso Gomes, F. M. C. Cardoso, Nelson Ferreira Fernandes,

Tree Root and Stability Studies

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.