Journal of Jilin University(Earth Science Edition)

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A Stage-Divided Method for Landslide Deformation Prediction by Using Rough Set

Han Ge1，Gong Wei1，Wu Ting2，Zhao Yannan3   

  1. 1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan430079, China;
    2.Hunan Prospecting Designing and Research General Institute for Provincial Institute of Agriculture, Forestry and Industry, Changsha410007, China;
    3.Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan430074, China
  • Received:2013-09-03 Online:2014-05-26 Published:2014-05-26

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Abstract:

Rough set theory is introduced in variables set assessment and reduction for deformation stage prediction in the Baijiabao landslide after its multi-source monitoring data are preprocessed by means of data mining technique. On that basis, serval different algorithms are utilized to predict landslide displacement quantitatively for the purpose of comparison. The tests show that the rough set theory is capable of predicting landslide deformation stage precisely. The results obtained by the rough set contribute to improve performances of numerical prediction of the landslide displacement and the stage-divided method has an advantage over other conventional algorithm.

Key words: landslide, rough set, deformation stage prediction, displacement prediction

CLC Number: 

  • P642.22
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