傅里叶变换在深州井资料处理中的应用

深州井水位日常观测中,经常会因为仪器供电不稳、雷击等原因出现一些幅度很大的脉冲、突跳及数据缺测,严重影响了观测资料的内在质量。本文采用数字信号处理技术[1]对深州井水位资料进行分析处理,首先使用分段线性插值法对缺测数据进行插值处理,然后用快速傅里叶变换对水位数据进行频谱分析,绘制振幅谱,分析水位数据中的不同周期成分,选取恰当的截止频率进行滤波处理,去除了干扰,获得了井水位的变化动态,提高了资料质量。最后应用滤波后的水位数据做一些震例分析。

Application of Fourier Transform on Data Processing of Shenzhou Well

Daily observations of Shenzhou well often have some sharp pulse ,jumps and data missing be‐cause of unstable power supply ,lightning and other reasons ,which is a serious impact on the intrinsic quality of observational data .This paper uses digital signal processing techniques to analyze and process the data of Shenzhou well water level .First ,we use piecewise linear interpolation method to interpolate the missing data .Then we use fast Fourier transform spectral analysis on the data of well level ,draw its amplitude spectrum ,and analyze its different period ingredients .Then by selecting appropriate cut‐off fre‐quency for filtering ,we successfully get rid of the interference and get well level changes dynamically and improve the data quality .At last ,we use the filtered water level data on several earthquake case analyses .