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讨论了小波分析在地震重力测量数据分析中应用的可能性，并采用基于样条函数的小波分析及其相应的Β小波分别计算了河西地区的重力变化资料，其结果如下：①小波分解可有效分离重力场时间变化的不同空间波长成分，更清晰地看清重力场变化与地震活动的关系。②河西地区重力资料分解结果表明：反映该地区浅部物质变化的重力变化高频部分和反映该地区深部物质变化的重力变化低频部分对永登Ｍｓ５．８级地震的反应不明显，而反映该地区中层物质变化的重力变化二、三阶小波分解结果对该地震的反应较明显。重力小波分解计算结果反映的密度变化深度与地震资料统计的震源深度基本一致。
The possibility of using wavelet analysis in the analysis of seismic gravity data is discussed. The data of gravity changes in Hexi area are calculated by wavelet analysis based on spline function and its corresponding Β wavelet respectively. The results are as follows: (1) Wavelet decomposition is effective Separate the different spatial wavelength components that change with the time of the gravitational field, and clearly see the relationship between the change of the gravitational field and the seismic activity. ② The results of gravity data decomposition in Hexi area show that the high-frequency part of gravity change reflecting the shallow material change in this area and the low-frequency part of gravity change reflecting the deep material change in this area did not respond obviously to the Yongdeng Ms5.8 earthquake, The change of gravity in the mid-level material changes in the region The response of the second and third-order wavelet decomposition to the earthquake is obvious. The depth of density change reflected by the results of gravity wavelet decomposition is basically the same as the focal depth of seismic data.