The influencing factors and data processing of ground-based γ-ray spectrometry detecting in the exploring of Liangzhu ancient ruins

We explore the ancient Liangzhu Wall historical remains using ground gamma spectral survey and process the field data. The data in this region is influenced by terrain, climate, statistical fluctuation and partial disturbances and so on. In this paper, we do the surface affecting factors corrections by the correcting factors accepted by statistical analysis of the data in different surface factors, and we suppress the partial disturbances and statistical fluctuation by the method of wavelet filtering. The result shows that the processing procedure is advantageous to suppress the partial disturbances and emphasize the effective anomaly. (authors)