Regional Risk Assessment of Earthquake-triggered Landslides

DOI

10.2991/jrarc.2015.5.4.4How to use a DOI?

Keywords

Seismic, Landslide, Hazard assessment.

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yingying Tian
AU  - Chong Xu
AU  - Jian Chen
PY  - 2015
DA  - 2015/12/31
TI  - Regional Risk Assessment of Earthquake-triggered Landslides
JO  - Journal of Risk Analysis and Crisis Response
SP  - 234
EP  - 245
VL  - 5
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2015.5.4.4
DO  - 10.2991/jrarc.2015.5.4.4
ID  - Tian2015
ER  -