滑坡与泥石流的危险信号傅里叶分析与小波去噪试验

发布时间：2018-02-01 03:02

本文关键词： 滑坡与泥石流非周期信号傅里叶分析小波去噪　出处：《科技通报》2017年03期 　论文类型：期刊论文

【摘要】：以兰州某多发滑坡泥石流区域段为试验对象,根据滑坡灾害发生前岩体开裂产生低频声波的特点,采集试验过程中出现的非周期性信号,提出对滑坡与泥石流产生的危险信号进行分析的观点,通过改进傅里叶分析法对非周期的不平稳信号进行时频分析处理,得到信号随时间变化的规律和特征;但信号含有大量的噪声需运用小波去噪的方法对信号进行分解、去噪并重构,使输出信号误差值低,达到通过危险信号预判滑坡与泥石流灾害的目的。试验结果表明,以兰州某山区段为试验对象,对其产生滑坡与泥石流的信号通过傅里叶分析和小波去噪处理后,得到能够判断滑坡和泥石流的预警信号,为兰州地区泥石流灾害的预判提供报警作用。
[Abstract]:According to the characteristics of low frequency acoustic wave produced by rock mass cracking before landslide disaster, the aperiodic signals appeared in the process of test were collected by taking the debris flow section of a multi-landslide in Lanzhou as the test object. The viewpoint of analyzing the dangerous signals produced by landslide and debris flow is put forward. The time-frequency analysis of non-periodic non-stationary signals is carried out by improved Fourier analysis method, and the regularity and characteristics of signals changing with time are obtained. However, the signal contains a large amount of noise which needs to be decomposed, de-noised and reconstructed by wavelet de-noising method, so that the error of output signal is low. The purpose of predicting landslide and debris flow disaster by danger signal is achieved. The test results show that a mountain section in Lanzhou is taken as the test object. After Fourier analysis and wavelet denoising, the early warning signals of landslide and debris flow can be obtained, which can provide warning for the prediction of debris flow disaster in Lanzhou area.
【作者单位】：兰州工业学院基础学科部;
【分类号】：TN911.7;P642.2
【正文快照】： 文献[1]指出我国地域广阔,山区众多,滑坡与泥石流是我国常见和分布广泛的灾害。兰州则是陇中黄土高原多发泥石流灾害的城市,其地理位置位于高原的沟壑区,两岸地区植被覆盖率低,缺乏水源,暴雨量大且集中导致水土流失严重,致使灾害发生频繁;它又处于青藏高原与黄土高原地质板

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