Abstract:

 In this paper, we take Cu element of Tongling ore clustering area as an example, and carry out the research on metallogenic anomaly identification with multifractal method, based on deep soil data. The results show that the Krigemultifractal interpolation method has tremendous advantage compared with the krige interpolation method when soil sampling density is relatively lower and spatial distribution of element content has little difference. For the kind of old ore clustering area, such as Tongling ore clustering area, which has a higher level of ore mining, and the spatial distribution of surface soil elements is mainly controlled by external pollution sources, the multifractal method that is based on deep soil data can identify anomalies efficiently and provide special services for deep and peripheral concealed ore prospecting in old ore clustering area. Moreover, for the blank researching area, multifractal method works the same way whether it is based on surface or deep soil data. For the multifractal method, there is still no standard being set up to determine the threshold anomaly of metallogenic prognosis by the soil elements. This paper presents a calculation method using the cumulative frequency of elemental contentsnumber of deposits. The anomaly area obtained by this method can well identify the most of known deposits. Meanwhile, by this method some blank abnormal areas which are worthwhile to do further anomaly inspection have been identified.

Key words:

Key words: Cu; anomaly identification; multifractal; soil; Tongling ore clustering area