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准确地判别滑坡的变形演化阶段,特别是对进入加速变形阶段突变点的识别,对及时捕捉滑坡前兆,尽早开展滑坡预警报和进行工程处理都具有十分重要的意义。将小波的多分辨分析与突变点识别原理相结合,依据滑坡的累积位移监测资料,结合3类典型滑坡(光滑型、阶跃型和振荡型)实例对滑坡进入加速变形阶段的突变点进行了识别研究。研究结果发现,滑坡在进入加速变形阶段时,其累积位移监测信号在4个连续尺度上分解重构后的细节信号的幅值均存在着明显的突变特征,而且4个尺度的突变特征均具有较好的一致性。据此特征,即可较为准确地识别滑坡进入加速变形阶段的突变点。
It is of great significance to accurately identify the stage of deformation and evolution of the landslide, especially to identify the sudden change points during the accelerated deformation stage. It is of great significance to timely capture landslide precursors, carry out early warning of landslides and carry out engineering treatment as soon as possible. Combining the multi-resolution analysis of wavelet and the principle of mutation point identification, based on the accumulated displacement monitoring data of landslide, combined with three typical examples of landslides (smooth, step and oscillatory), the abrupt point of landslide entering the accelerated deformation phase Identify research. The results show that there are obvious abrupt changes in the magnitude of the detail signal after the cumulative displacement monitoring signal is decomposed and reconstructed on four consecutive scales when the landslide enters the accelerated deformation stage, Better consistency. According to this feature, the sudden change of landslide into the accelerated deformation stage can be identified more accurately.