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Landslides

, Volume 14, Issue 3, pp 1275–1281 | Cite as

Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5.0 and two-step cluster algorithms: a case study in the Three Gorges Reservoir area, China

  • Junwei Ma
  • Huiming TangEmail author
  • Xiao Liu
  • Xinli Hu
  • Miaojun Sun
  • Youjian Song
Technical Note

Abstract

This study presents a hybrid approach based on two-step cluster and decision tree C5.0 algorithms to establish a deformation forecasting model for a step-like landslide. The Zhujiadian landslide, a typical step-like landslide in the Three Gorges Reservoir area, was selected as a case study. Approximately, 6 years of historical records of landslide displacement, precipitation, and reservoir level were used to build the forecasting model. The forecasting model consisted of seven comprehensive rules governing hydrologic parameters and their magnitudes and was developed to predict landslide deformation. This model was applied to rapidly forecast the likelihood of step-like landslide deformation resulting from rainfall and water level fluctuations in the Three Gorges Reservoir area. Given the satisfactory accuracy of the trained model, the presented approach can be used to establish forecasting models for step-like landslides and to facilitate rapid decision making.

Keywords

Step-like landslide Deformation forecasting Two-step cluster Decision tree C5.0 Three Gorges Reservoir area 

Notes

Acknowledgments

Author Junwei Ma thanks the China Scholarship Council for providing a scholarship for the research described in this paper, which was conducted as a Visiting Research Scholar at Purdue University. This study was financially supported by the Key National Natural Science Foundation of China (41230637), the National Natural Science Foundation of China (41572279, 41272305, and 41102195), the China Postdoctoral Science Foundation (Grant Nos. 2012M521500 and 2014T70758), and the Hubei Provincial Natural Science Foundation of China (Grant No. 2014CFB901). All support is gratefully acknowledged.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Junwei Ma
    • 1
    • 2
  • Huiming Tang
    • 1
    • 3
    Email author
  • Xiao Liu
    • 1
  • Xinli Hu
    • 3
  • Miaojun Sun
    • 4
  • Youjian Song
    • 5
  1. 1.Three Gorges Research Center for Geo-hazards of Ministry of EducationChina University of GeosciencesWuhanPeople’s Republic of China
  2. 2.School of Civil EngineeringPurdue UniversityWest LafayetteUSA
  3. 3.Faculty of EngineeringChina University of GeosciencesWuhanPeople’s Republic of China
  4. 4.Power China Huadong Engineering Corporation LimitedHangzhouPeople’s Republic of China
  5. 5.Wuhan Geotechnical Engineering and Surveying Co. LtdWuhanPeople’s Republic of China

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