基于Parker-Oldenburg反演方法,分析了低通滤波器B(K)的不同阈值对位场分离的影响。分别采用小波变换和低通滤波对青藏高原地区布格重力异常进行了位场分解和莫霍面反演,并将反演结果与地震资料作比较。结果表明,在重力位场分解中小波多尺度分解可以代替低通滤波器B(K),避免了闻值的选取。
This paper describes the inversion of gravity anomaly using Parker-Oldenburg method briefly, and analyzes the effects of different thresholds of low-pass filter on the separation of the gravity field. The Bouguer gravity anomaly in Tibetan Plateau is decomposed by wavelet transform and low-pass filter respectively, and applied to the inversion of Moho. Comparing inverted Moho interface from wavelet transform and low-pass filter with that from seismic source, it can be concluded that the multi-scale decomposition of wavelet is able to substitute low-pass filter B(K) and avoid choosing the threshold of the low-pass filter in the decomposition of the gravity field.