小波分析在永安地震台前兆观测资料处理中的应用

APPL ICATION OF WAVELET ANALYSIS TO PRECURSOR OBSERVATION AT YONG'AN SEISMIC STATION

  • 摘要: 利用小波分析方法对永安台前兆观测资料进行处理,结果表明该方法能够有效地将数据波动、脉冲干扰和地震同震波从原数据中分离出去,并且能够得到清晰的前兆数据原始变化趋势,可以使今后各种长短期震前异常的识别变得更加容易。

     

    Abstract: The precursor observation data at Yongan seismic station are analyzed using wavelet analysis methods.The results show that the wavelet analysis method is effective in rejecting pulse interference, data fluctuation and co-seismic deformation waves from observation data and getting clear original trend of precursory data and make it easier to identify short and long term pre-earthquake anomaly in the future.

     

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