Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley,Guipuzcoa (Spain) |
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| Authors: | Remondo Juan González-Díez Alberto De Terán José Ramón Díaz Cendrero Antonio |
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| Institution: | (1) DCITIMAC, Facultad de Ciencias, Universidad de Cantabria, Avda. de Los Castros s/n, 39005 Santander, Spain |
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| 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. |
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| Keywords: | Landslide susceptibility maps spatial data analysis statistical methods |
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