Due to the adverse effects of coal mining activities in Karst areas, it’s necessary to monitor the contaminants, analyze their fate in the transport and identify the sources. Therefore, concentrations of contaminants were measured in both groundwater and surface water samples collected from coal-mining area in Karst, located in ​​Zhijin County, Guizhou Province (China). The analysis of spatial-temporal variations of contaminants indicates that (1) the concentrations of metal elements (except Ba) and SO42− tend to decrease along the water flow direction while the concentrations of Ba and nitrate still show an upward trend and (2) the concentrations of metal elements and SO42− in Stream1 and Stream3, are higher in wet season than dry season. Further, the results of multi-statistical analysis which combined Pearson correlation coefficients(PCC)with the principal component analysis (PCA), identify five factors for the data structure of contaminants. What’s more, the assessment of the water quality was evaluated by Nemerow index method to better understand the status. The results indicate that over 60% of water samples were divided into Grade IV and Grade Ⅴ.

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