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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

Author

Listed:
  • Roberto Gomes
  • Renato Guimarães
  • Osmar Carvalho
  • Nelson Fernandes
  • Eurípedes Vargas
  • Éder Martins

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. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Roberto Gomes & Renato Guimarães & Osmar Carvalho & Nelson Fernandes & Eurípedes Vargas & Éder Martins, 2008. "Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with an empirical model of debris flow," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 45(2), pages 197-209, May.
    • Handle: RePEc:spr:nathaz:v:45:y:2008:i:2:p:197-209
    DOI: 10.1007/s11069-007-9160-z
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    Cited by:

    1. Téhrrie König & Hermann J. H. Kux & Rodolfo M. Mendes, 2019. "Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1127-1149, July.

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