地电场观测中城市轨道交通干扰剔除
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摘要
应用基于EMD的小波阈值去噪方法,去除地电场观测资料中轨道交通干扰,并将小波阈值去噪法和EMD去噪法的效果相比较,结果表明:该方法能够滤除地电场信号中的地铁干扰,同时保留原始信号中微小的突变,突出有用信息,提高地电场台站观测数据的使用率,有较好的去噪效果。基于EMD的小波阈值去噪方法可推广到其他地球物理观测资料的去噪分析,甚至地电场与地电阻率同场地观测中人工供电干扰信号的剔除。
Based on empirical mode decomposition(EMD), a wavelet threshold denoising is applied to solve the signal denoising problem of geoelectric field data disturbed by urban track traffic in this paper. This method can eliminate most subway interference noise, keep minimal change of the original signal, highlight useful information in the original signal and improve the efficiency of geoelectric field data observed by the stations with the best denoising effect. As a new denoising method, the wavelet threshold denosing method based on EMD can be generalized to other precursory observation data denoising, such as the elimination of the artificial power supply interference noise from geoelectric and geoelectric resistivity observation in the same field.
Based on empirical mode decomposition(EMD), a wavelet threshold denoising is applied to solve the signal denoising problem of geoelectric field data disturbed by urban track traffic in this paper. This method can eliminate most subway interference noise, keep minimal change of the original signal, highlight useful information in the original signal and improve the efficiency of geoelectric field data observed by the stations with the best denoising effect. As a new denoising method, the wavelet threshold denosing method based on EMD can be generalized to other precursory observation data denoising, such as the elimination of the artificial power supply interference noise from geoelectric and geoelectric resistivity observation in the same field.
引文
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钱家栋,林云芳.地震电磁观测技术[M].北京:地震出版社,1995:6-9.
邱颖.地电场观测中已知源干扰抑制研究[D].北京:中国地震局地震预测研究所,2008.
王兰炜,赵家骝,庞丽娜.自适应噪声消除器在地电场观测数据处理中的应用[J].地震,2006,26(1):87-92.
王同利,胡乐银,崔博闻,等.北京城市轨道交通对地电场观测的干扰影响[J].地震地质,2013,35(4):887-893.
席继楼,赵家骝,王燕琼,等.地电场观测技术研究[J].地震,2002,22(2):47-53.
Donoho D L,Johnstone I M.Ideal spatial adaptation by wavelet shrinkage[J].Biometrika,1994,81(3):425-455.
Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceeding of the Royal Society A:Mathematical,Physical and Engineering Sciences,1998,454(1 971):903-995.
Weaver J B,Xu Y S,Healy D M Jr,et al.Filtering noise from images with wavelet transforms[J].Magnetic Resonance in Medicine,1991,21(2):288-295.
杜修力,何立志,侯伟.基于经验模态分解(EMD)的小波阈值除噪方法[J].北京工业大学学报,2007,33(3):265-272.
段晨东,何正嘉.第二代小波降噪及其在故障诊断系统中的应用[J].小型微型计算机系统,2004,25(7):1 341-1 343.
冯红武,朱振家,丁宏,等.用FFT消除地电观测对地磁数据的干扰[J].地震地磁观测与研究,2010,31(4):83-85.
李伟,马钦忠,宋志平,等.小波变换在地电场数据分析中的应用[J].地震学报,2013,35(1):26-35.
钱复业,赵玉林.地电场短临预报方法研究[J].地震,2005,25(2):33-40.
钱家栋,林云芳.地震电磁观测技术[M].北京:地震出版社,1995:6-9.
邱颖.地电场观测中已知源干扰抑制研究[D].北京:中国地震局地震预测研究所,2008.
王兰炜,赵家骝,庞丽娜.自适应噪声消除器在地电场观测数据处理中的应用[J].地震,2006,26(1):87-92.
王同利,胡乐银,崔博闻,等.北京城市轨道交通对地电场观测的干扰影响[J].地震地质,2013,35(4):887-893.
席继楼,赵家骝,王燕琼,等.地电场观测技术研究[J].地震,2002,22(2):47-53.
Donoho D L,Johnstone I M.Ideal spatial adaptation by wavelet shrinkage[J].Biometrika,1994,81(3):425-455.
Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceeding of the Royal Society A:Mathematical,Physical and Engineering Sciences,1998,454(1 971):903-995.
Weaver J B,Xu Y S,Healy D M Jr,et al.Filtering noise from images with wavelet transforms[J].Magnetic Resonance in Medicine,1991,21(2):288-295.