Abstract

Dong Van is an area that is assessed to have potential for polymetallic mineralization in the Northeast of Vietnam. A total of 890 geochemical samples of bottom mud sediments were used to study polymetallic mineralization, thereby identifying Sn, W anomalies in the area. In addition, statistical analysis helps to identify geochemical anomalies in the Dong Van area. Statistical methods and cluster analysis of geochemical data show that the elements Pb, As, Bi, Li, Sn, W, Ta, Ce, Ag, Sb, and Be are good indicator elements, in which the elements Sn, W follow a geometric distribution. Based on the 3-sigma rule, the geochemical anomalies in the content of Sn, W elements reflect the concentration of Sn, W mineral bodies in the area. Trend analysis was applied to determine the spatial variation and relationship between the searched indicator elements and the anomalous areas, which showed that the relative changes in the content of the indicator elements and they can be considered regular. Furthermore, the fit of the Trend functions obtained from the Sn, W elements followed the fourth-order Trend surface model. This result shows that the Trend models can be useful in studying geochemical anomalies and that the Trend analysis helps to determine the concentration areas of the indicator elements in the Dong Van area. In addition, the statistical analysis shows significant potential in using bottom mud sediment samples to investigate polymetallic mineralization. In addition, the geochemical data can help to evaluate the geochemical anomalies of the indicator elements and map the mineral prospectivity of the Dong Van area, Northeast Vietnam. Keywords: Sn-W mineralization, statistical evaluation, Dong Van, Vietnam.