Landslide displacement prediction method based on wavelet transform-rough set-support vector regression (WT-RS-SVR) combination

Abstract

The invention provides a landslide displacement prediction method based on wavelet transform-rough set-support vector regression (WT-RS-SVR) combination. By means of the method, according to the characteristics of the influence factors of landslide displacement, the complex displacement process and landslide displacement monitor data measured in real time, accumulative displacement of a typical monitor point is decomposed into trend-term displacement and periodic-term displacement through WT, and a trend-term displacement prediction function is obtained through curve fitting; screening is conducted on the influence factors of the landslide displacement through an RS algorithm, and selected factor sets are used as input factor sets of an SVR machine, accordingly a landslide displacement optimization prediction model based on WT-RS-SVR combination is established, and the precision of a prediction result is analyzed and evaluated. The prediction result of the landslide displacement prediction method can well embody the development and change tendency of the landslide displacement. The landslide displacement prediction method has high prediction capacity, and is accurate, effective and practical.

Description

technical field

[0001] The invention provides a new landslide displacement prediction method based on the combination of wavelet transform, rough set and support vector regression machine, which belongs to the field of environmental protection. Background technique

[0002] Landslide is a serious geological hazard, and its deformation evolution process is affected by both controlling and influencing factors of landslide. In the process of deformation evolution, the landslide deformation displacement will present a corresponding step-like change feature under the influence of internal and external factors. In actual landslide forecasting, if the landslide deformation is analyzed and predicted directly based on the landslide cumulative displacement curve, it is easy to make a wrong judgment on the landslide. Therefore, this area urgently needs to provide a kind of method that landslide displacement is decomposed into different parts according to different influencing factors,...

Images