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。
In order to reduce the influence of landslide and debris flow disasters on Lanzhou's economy,this article in Lanzhou a multiple landslide section as the research object,according to the landslide disaster occurred before the rock cracking characteristics of the low frequency acoustic wave,non periodic signal acquisition in the process of test,analyze the viewpoint of danger signal of landslide and debris flow,time-frequency analysis by improved Fourier analysis method for non periodic nonstationary signal,get the rules and characteristics of signal change with time;but the signal contains a lot of noise with wavelet denoising by decomposition,denoising and reconstruction of the signal,the output signal error value is low,reached by danger signal pretreatment sentenced to the landslide and debris flow disaster.Test results show that in a mountainous section in Lanzhou as the test object,the produce of landslide and debris flow signals through Fourier analysis and wavelet denoising,to judge the landslide and debris flow warning signal and provide alarm for judgement for debris flow disaster in Lanzhou area pre.
作者
刘军
Liu Jun(The Ministry of Basic Subjects,Lanzhou Institute of Technology,Lanzhou 730050,China)
出处
《科技通报》
北大核心
2017年第3期141-144,共4页
Bulletin of Science and Technology
关键词
滑坡与泥石流
非周期信号
傅里叶分析
小波去噪
landslides and mudslides
aperiodic signals
fourier analysis
wavelet de-noising
