Regional Risk Assessment of Earthquake-triggered Landslides

Abstract

Great earthquakes occurring in mountainous areas can trigger large-scale landslides, leading to serious geological disasters. Thus, in recent years, especially after the 2008 Wenchuan earthquake, much attention has been focused on the research about regional risk assessment of seismic landslides in China and elsewhere in the world. Such study is based on the engineering geological analogy, and its purpose is to estimate the risks of earthquake-induced landslides for the regions with the same or similar environment. In light of previous work, such assessment includes 2 tasks: establishment of seismic landslide database and evaluation of potential landslides using mathematical statistics models. The interpretation of regional seismic landslides is the basis for building the landslide database. The common methods for risk assessment include the evidence-weight model, certainty factor method (CF)and information value model, logistic regression model (LR), artificial neural networks (ANN), support vector machine method (SVM), Newmark displacement model,analytic hierarchy process (AHP), and so forth. This paper presents a review on these methods, and an outlook on the advancement of this research field in the future.