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Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley, Guipuzcoa (Spain)

Author

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  • Juan Remondo
  • Alberto González-Díez
  • José De Terán
  • Antonio Cendrero

Abstract

A quantitative methodology for landslide susceptibility zonationis described and its application to a study area in the lower part of the Deba Valley (Guipúzcoa,Spain) presented. Susceptibility models were obtained on the basis of statisticalrelationships between known mass movements and conditioning factors. A landslide rupturehypothesis was set and a digital database consisting of seventeen causal factors layers constructed.The modelling procedure was implemented utilising a GIS. The susceptibility analysis methodis based on the Favourability Functions approach, and two different mathematicalframeworks: probability theory and Zadehïs fuzzy set theory. Several landslidesusceptibility models were produced and validated using different sets of independent landslide data.The predictive capability of models was determined. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Juan Remondo & Alberto González-Díez & José De Terán & Antonio Cendrero, 2003. "Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley, Guipuzcoa (Spain)," 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. 30(3), pages 267-279, November.
    • Handle: RePEc:spr:nathaz:v:30:y:2003:i:3:p:267-279
    DOI: 10.1023/B:NHAZ.0000007202.12543.3a
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    Cited by:

    1. Nicolás Younes Cárdenas & Estefanía Erazo Mera, 2016. "Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes," 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. 81(3), pages 1829-1859, April.
    2. T. Gorum & B. Gonencgil & C. Gokceoglu & H. Nefeslioglu, 2008. "Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey)," 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. 46(3), pages 323-351, September.
    3. Vorpahl, Peter & Elsenbeer, Helmut & Märker, Michael & Schröder, Boris, 2012. "How can statistical models help to determine driving factors of landslides?," Ecological Modelling, Elsevier, vol. 239(C), pages 27-39.

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