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Statistical Analysis of Deep-Seated Landslides Induced by Recent Strong Earthquakes in Eastern Japan: An Approach Based on Pre-Existing Landslide Topography

  • Bateer HasiEmail author
  • Kiyoteru Maruyama
  • Akira Nakamura
  • Tomoyuki Noro
Chapter

Abstract

This paper conducted logistic regression analysis for earthquake-induced landslides within pre-existing landslide topographies. We constructed logistic regression model by using landslides data set of the Chuetsu earthquake, Niigata Prefecture, 2004. The results showed that surface roughness and marginal erosion ratio are the most influential factors for the landslide occurrence. The model was validated by the part of landslides data set of the Chuetsu earthquake and the Iwate-Miyagi inland earthquake, 2008. Based on ROC curves, the AUC is larger than 0.8, showed a good prediction accuracy and suggested the method is useful.

Keywords

Landslide Earthquake Logistic regression Chuetsu Iwate-Miyagi Japan 

Notes

Acknowledgements

The authors would like to express their appreciation to Dr. Edwin L. Harp for detailed review and helpful suggestions on ways to improve the paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bateer Hasi
    • 1
    • 2
    Email author
  • Kiyoteru Maruyama
    • 1
  • Akira Nakamura
    • 1
  • Tomoyuki Noro
    • 1
  1. 1.Snow Avalanche and Landslide Research Center, PWRIMyoko-shiJapan
  2. 2.Now at Asia Air Survey, Co., Ltd.KawasakiJapan

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