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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DOI
10.12681/eadd/42295
Handle URL
http://hdl.handle.net/10442/hedi/42295
ND
42295
Alternative title
Έρευνα παραμέτρων κατολισθητικότητας στην πρόγνωση αστοχιών πρανών
Author
Tavoularis, Nikolaos
Date
2017
Degree Grantor
National Technical University of Athens (NTUA)
Committee members
Κουμαντάκης Ιωάννης
Κούκης Γεώργιος
Ρόζος Δημήτριος
Τσιαμπάος Γεώργιος
Σαμπατακάκης Νικόλαος
Λουπασάκης Κωνσταντίνος
Μπενάρδος Ανδρέας
Discipline
Natural SciencesEarth and Related Environmental Sciences
Keywords
Landslide susceptibility; Rock Engineering System (RES); Interaction matrix; Landslide instability index; Model Builder; Slope failure; Analytical hierarchy process; Fuzzy logic; Artificial neural networks
Country
Greece
Language
Greek
Description
im., tbls., maps, fig., ch.
Rights and terms of use
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