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Improving basin scale shallow landslide modelling using reliable soil thickness maps

Author

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  • Samuele Segoni
  • Guglielmo Rossi
  • Filippo Catani

Abstract

Soil thickness is a well-known factor controlling shallow landsliding. Notwithstanding, its spatial organisation over large areas is poorly understood, and in basin scale slope analyses it is often established using simple methods. In this paper, we apply five different soil thickness models in two test sites, and we use the obtained soil thickness maps to feed a slope stability model. Validation quantifies how errors in soil thickness influence the resulting factor of safety and points out which method grants the best results. In particular, in our cases, slope-derived soil thickness patterns produced the worst slope stability assessment, while the use of reliable soil thickness maps obtained by means of a more complex geomorphologically indexed model improved shallow landslides modelling. Copyright The Author(s) 2012

Suggested Citation

  • Samuele Segoni & Guglielmo Rossi & Filippo Catani, 2012. "Improving basin scale shallow landslide modelling using reliable soil thickness maps," 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. 61(1), pages 85-101, March.
    • Handle: RePEc:spr:nathaz:v:61:y:2012:i:1:p:85-101
    DOI: 10.1007/s11069-011-9770-3
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    Cited by:

    1. Taskin Kavzoglu & Emrehan Kutlug Sahin & Ismail Colkesen, 2015. "An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district," 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. 76(1), pages 471-496, March.
    2. Raquel Melo & José Luís Zêzere, 2017. "Modeling debris flow initiation and run-out in recently burned areas using data-driven methods," 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. 88(3), pages 1373-1407, September.

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