Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley, Guipuzcoa (Spain)
Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley, Guipuzcoa (Spain)
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DOI：
10.1023/b:nhaz.0000007202.12543.3a
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发表时间：
2003-11
期刊：
影响因子：
3.7
通讯作者：
J. Remondo;A. González-Díez;J. D. De Terán;A. Cendrero
中科院分区：
文献类型：
--
作者：
J. Remondo;A. González-Díez;J. D. De Terán;A. Cendrero
本文介绍了滑坡易发性分区的定量方法，并将其应用于德巴河谷（西班牙Guipúzcoa）下部的一个研究区。易感性模型是根据已知的群众运动和制约因素之间的因果关系获得的。建立了滑坡破裂假设，建立了由17个成因因子层组成的数字数据库，并利用GIS实现了模拟过程。敏感性分析方法是基于有利函数方法和两种不同的理论框架：概率论和Zadehïs模糊集理论。利用多组独立滑坡数据建立了几种滑坡敏感性模型，并对模型进行了验证，确定了模型的预测能力。
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.