【摘要】 结合多参考自适应噪声对消和小波模极大值去噪理论,研究了新疆独山子台跨断层垂直形变观测数据的干扰因素及消除方法,结果表明:利用气象温度数据和断层两盘温差数据作为两个噪声参考输入进行自适应噪声对消,可有效消除信号中的年周期变化;利用小波模极大值去噪方法,可以抑制信号中的高频白噪声成分,使信号畸变更加明显。仿真结果及实际应用均验证了此方法的有效性与实用性,消除干扰后的垂直形变数据与台站100 km范围内4级以上地震有较好的对应性,反映了独山子台对周边地区4级以上地震的映震能力。更多还原

【Abstract】 Based on the theory of multiple-reference adaptive noise cancellation and wavelet transform modulus maxima,this paper studied the method of interference cancellation for vertical deformation data from Dushanzi.The results indicate that: The annual variation in vertical deformation data is produced by seasonal variety of near-surface temperature and the temperature difference between fault′s hanging wall and foot wall,and the data is also influenced by white noise and other random noise.By using the data of meteorological temperature and auxiliary temperature to carry out adaptive noise cancellation,we can eliminate the effect of annual variation.Furthermore,by means of wavelet transform modulus maxima denoising on the data which has been ruled out the effect of annual variation,the white noise is inhibited,and the signal′s distortion is clearer and more accurate.Simulation testing and practical application demonstrate the denoise effect of the said method is effective and practical.The vertical deformation data that eliminated the effect of interference is found in good correspondence to the earthquakes of Ms≥4 within the radius of 100km from the station,and that reflects the station′s ability to response earthquake of Ms≥4 for surrounding area.更多还原