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www.nat-hazards-earth-syst-sci.net/10/1829/2010/
doi:10.5194/nhess-10-1829-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil
1Department of Geography, University of São Paulo, São Paulo, Brazil
2Department of Geography, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
3Geotechnical Department, University of São Paulo, São Paulo, Brazil
Abstract. Various methods are currently used in order to predict shallow landslides within the catchment scale. Among them, physically based models present advantages associated with the physical description of processes by means of mathematical equations. The main objective of this research is the prediction of shallow landslides using TRIGRS model, in a pilot catchment located at Serra do Mar mountain range, São Paulo State, southeastern Brazil. Susceptibility scenarios have been simulated taking into account different mechanical and hydrological values. These scenarios were analysed based on a landslide scars map from the January 1985 event, upon which two indexes were applied: Scars Concentration (SC – ratio between the number of cells with scars, in each class, and the total number of cells with scars within the catchment) and Landslide Potential (LP – ratio between the number of cells with scars, in each class, and the total number of cells in that same class). The results showed a significant agreement between the simulated scenarios and the scar's map. In unstable areas (SF≤1), the SC values exceeded 50% in all scenarios. Based on the results, the use of this model should be considered an important tool for shallow landslide prediction, especially in areas where mechanical and hydrological properties of the materials are not well known.
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Citation: Vieira, B. C., Fernandes, N. F., and Filho, O. A.: Shallow landslide prediction in the Serra do Mar, São Paulo, Brazil, Nat. Hazards Earth Syst. Sci., 10, 1829-1837, doi:10.5194/nhess-10-1829-2010, 2010. Bibtex EndNote Reference Manager XML
