Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Mondal, Subrata; Mandal, Sujit

Springer International Publishing AG

09/2018

193

Dura

Inglês

9783319938967

15 a 20 dias

483

Descrição não disponível.
Concept on Landslides and Landslide Susceptibility.- Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability.- Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction.- Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach.- Artificial Neural Network (ANN) Model and Landslide Susceptibility.- Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies.- Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic.- Comparison between Statistical Models: A Review and Evaluation.- Index.
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landslide modeling;Landslide Susceptibility Assessment and Prediction;Logistic multiple regression;Artificial Neural Networks;monitoring and warning systems;lithology and geomorphology;Landslide Potentiality Index Value;darjiling himalayas;Analytical Hierarchy Process;hazard evaluation;geomorphic, geo-tectonic and geo-hydrologic attributes;mountain environments;hydrogeology