地震频发区域背景噪声提取格林函数的反褶积方法研究*

(云南省地震局,云南 昆明 650224)

背景噪声; 格林函数; 反褶积; 多窗谱分析; 幅值

Deconvolution Method Research on Extracting Green's Function from the Ambient-Noise in the Frequent Earthquake Region
PANG Wei-dong,YANG Run-hai,ZHENG Ding-chang,LIU Na,SHEN Ya-hong

(Earthquake Administration of Yunnan Province,Kunming 650224,Yunnan,China)

ambient-noise; Green's function; deconvolution; multi-taper spectral analysis; amplitude

备注

针对云南这一地震频发区域记录到的地震背景噪声数据,设计了一种“最大值均一化”算法,该算法能有效地消除背景噪声中的地震信号、畸变信号及其它干扰信号。应用此算法对记录到的背景噪声数据进行预处理,对处理后的数据利用多窗谱反褶积计算方法可获得其具有较高信噪比和保留了相对幅值信息的格林函数。

We design the maximum normalization algorithm which can effectively eliminate seismic signals,distorted signals and other interfering signals from the ambient-noise recorded in a frequent earthquake region such as Yunnan.First,we apply this algorithm to pre-processing the recorded ambient noise,and then adopt the multi-taper deconvolution method for the processed data to extract Green's function with high signal-to-noise ratio and relative amplitude information.