Discrete wavelet transform for multiple decomposition of gravity anomalies

Wavelet and multiscale analysis can be a powerful tool for multiple decomposition of potential fields data. Discrete wavelet transform generates low-order wavelet details that keep invariant with the total order number; while changing the total order number can only increase wavelet details of the highest orders and degree of smoothness of the final approximation. Thus,one can combine wavelet details based on regional geology to decompose gravity anomalies, producing anomalies correlated to certain geological sources. Applying the traditional spectrum analysis techniques,one can estimate the everage depth of sources for every wavelet detail, correlated statistically the decomposed wavelet detail with meaning of the source depth. Typical examples for triple decomposition of local anomalies are given by using gravity data obtained from Chinese continental scientific drilling site.