The present study is to evaluate gold and base metallic minerals in the stream sediments of Daya Dawa area, West Guji, southern Ethiopia. In this research work, spatial association analyses of geochemical and geological indicative features were carried for gold, silver, and base metals. Totally, 39 stream sediment samples were collected from active and non-active stream drainage. The extraction methods of Pearson correlation, principal component analysis (PCA), cluster analysis, and histograms were applied in order to determine the threshold value for each element using IBM SPSS Statistics v21 software. The geochemical data were over laid in Arc GIS 10.1 to get information about the anomalous concentration of gold, silver, and base metals in different sampling media. The geochemical result shows that the strong correlation between some of the base metals due to the lithological alteration of biotite-potassium feldspar-quartz gneiss and biotite-plagioclase-quartz gneiss. Three factors are derived from the PCA, in that Au was dominant in one of the factor because of bedrock mineralization. The anomalies are identified by setting threshold values, which mark the upper and lower limits of normal variation for stream sediment samples data. Gold concentrations in the samples are fitful, most below the detection limit and attain a high threshold values in sample numbers S31 and S39 due to hydrothermal alteration. These results demonstrate the usefulness of geochemical analysis and data interpretation using GIS tools reveal that the area S31 and S39 is having high economic potential for gold and silver.
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