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An integrated Bayesian approach to the probabilistic tsunami risk model for the location and magnitude of earthquakes: application to the eastern coast of the Korean Peninsula

  • Kwan-Hyuck Kim
  • Yong-Sik Cho
  • Hyun-Han Kwon
Original Paper

Abstract

We explored the distributional changes in tsunami height along the eastern coast of the Korean Peninsula resulting from virtual and historical tsunami earthquakes. The results confirm significant distributional changes in tsunami height depending on the location and magnitude of earthquakes. We further developed a statistical model to jointly analyse tsunami heights from multiple events, considering the functional relationships; we estimated parameters conveying earthquake characteristics in a Weibull distribution, all within a Bayesian regression framework. We found the proposed model effective and informative for the estimation of tsunami hazard analysis from an earthquake of a given magnitude at a particular location. Specifically, several applications presented in this study showed that the proposed Bayesian approach has the advantage of conveying the uncertainty of the parameter estimates and its substantial effect on estimating tsunami risk.

Keywords

Tsunami hazard Bayesian model Regression analysis Risk analysis Uncertainty 

Notes

Acknowledgements

The authors thank the Associate Editor and the two anonymous reviewers for their constructive criticism of the paper. The insightful comments provided by the Associated Editor and reviewers have greatly improved the original manuscript. This research was supported by Korea Institute of Marine Science and Technology promotion. The third author was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2015-0-00378) supervised by the IITP (Institute for Information & communications Technology Promotion). The data used in this study are available upon request from the corresponding author via email (hkwon@jbnu.ac.kr).

Supplementary material

477_2017_1488_MOESM1_ESM.docx (22 kb)
Supplementary material 1 (DOCX 22 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Civil and Environmental EngineeringHanyang UniversitySeongdong-gu, SeoulRepublic of Korea
  2. 2.Department of Civil EngineeringChonbuk National UniversityJeonju-siRepublic of Korea

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