The contribution of landslide susceptibility factors to the prognosis of slope failures
Abstract
Despite considerable improvements in our understanding of instability mechanisms and the availability of a wide range of mitigation techniques, landslides still cause a significant death toll and significant economic impact all over the world. Authorities and decision makers need maps depicting the areas that may be affected by landslides, so that they are considered in development plans and so that appropriate risk mitigation measures are implemented.Μany methods have been proposed to evaluate landslide susceptibility including qualitative (or semi-qualitative), quantitative (or semi-quantitative) such as RMR, Q, GSI, SMR, analytical hierarchy process and artificial intelligence approaches such as Artificial Neural Networks and Fuzzy Logic Systems. Αll these methodologies have some weak points concerning the estimation of instability index and as a consequence the production of landslide susceptibility maps.To overcome this difficulty, PhD thesis presents and analyzes a guiding method ...
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