Abstract: With the software of SPSS, the geochemistry data from 1:50 000 stream sediment survey in the orefield are analyzed. Adopting the average values plus or minus 3 times of standard deviation as bounds to eliminate the eigenvalues of original data, until the data obey normal distribution. Finally, taking the average values plus 2 times of standard deviation as anomaly thresholds(T), with 1T, 2T and 4T as concentration zonation, to draw element anomaly maps, involving single element anomaly of Cu, Au, Ag and Mo and assemblage anomaly of Au-Ag-Mo. The overlap analysis of ore deposits/occurrence with geological characteristics shows that the anomalies are controlled by strata, faults and wallrock alterations, which are indicators for the searching of orebodies. Eventually, two prospecting areas are selected.