关键词: 滑坡, 位移时间序列, 经验模态分解, 抑制端点效应, 平行极值延拓

Abstract: The correct decomposition of landslide displacement sequence has important influence on landslide prediction and early warning.Empirical mode decomposition (EMD) is a commonly used time series decomposition method, but it has endpoint effect in the decomposition process.Therefore, this paper improves the classical EMD method and proposes an EMD method to suppress endpoint effect.The improved method is analyzed and verified by using the data of Baige landslide in Jinsha River. The experiment results show that the improved method has good endpoint effect suppression effect and the prediction accuracy is also improved compared with the classical method.

Key words: landslide, displacement time series, empirical mode decomposition, inhibition of endpoint effect, parallel extremum continuation