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Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow
Authors:Roberto A T Gomes  Renato F Guimarães  Osmar A Carvalho Jr  Nelson F Fernandes  Eurípedes A Vargas Jr  Éder S Martins
Institution:(1) Departamento de Geografia, Instituto de Geociências, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil;(2) Departamento de Geografia, Instituto de Humanas, Universidade de Brasília, Campus Darcy Ribeiro, Asa Norte, Brasilia, CEP 70910-900, Brazil;(3) Departamento de Engenharia Civil, Pontifícia Universidade Católica, Rio de Janeiro, Brazil;(4) Pedologia, EMBRAPA Cerrados, Planaltina, Distrito Federal, Brazil
Abstract:In tropical areas, mass movements are common phenomena, especially during periods of heavy rainfall, which frequently take place in the summer season. These phenomena have caused loss of life and serious damage to infrastructure and properties. The most prominent of these phenomena are landslides that can produce debris flows. Thus, this article aims at determining affected areas using a model to predict landslide prone areas (SHALSTAB) combined with an empirical model designed to define the debris flow travel distance and area of deposition. The methodology of this work consists of the following steps: (a) elaboration of a digital elevation model (DEM), (b) application of the deterministic SHALSTAB model to locate the landslide prone areas, (c) identification of the debris flow travel distance and area of deposition, and (d) mapping of the affected areas (landslides and debris flows). This work was developed in an area in which many mass movements occurred after intense rainfall during the summer season (February 1996) in the state of Rio de Janeiro, southeast Brazil. All of the scars produced by that event were mapped, allowing for validation of the applied models. The model results show that the mapped landslide locations can adequately be simulated by the model.
Keywords:Landslide prediction  Topographic  DEM  Debris flow  GIS
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