NDLI: 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

Content Provider	Springer Nature Link
Author	Ma, Junwei Tang, Huiming Liu, Xiao Hu, Xinli Sun, Miaojun Song, Youjian
Copyright Year	2017
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.
Starting Page	1275
Ending Page	1281
Page Count	7
File Format	PDF
ISSN	1612510X
Journal	Landslides
Volume Number	14
Issue Number	3
e-ISSN	16125118
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2017-03-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Step-like landslide Deformation forecasting Two-step cluster Decision tree C5.0 Three Gorges Reservoir area Natural Hazards Geography Agriculture Civil Engineering
Content Type	Text
Resource Type	Article
Subject	Geotechnical Engineering and Engineering Geology

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