An Application of Cluster Analysis Methods to Mine Water Monitoring Data

An optimized model of multivariate classification for the mine water of Xin Shuguang coal power plant coal mine in the north of China, has been developed. Eight samples were grouped in five distinct classes by cluster techniques (CA). The chemical composition of each sample of water is plotted on the piper's three-line and pie chart. The Hierarchical Cluster analysis method was used to analyze the water source at the coal outlet point. These jobs will help the coal mine to better control groundwater damage. (paper)