The invention belongs to the field of data analysis, and in particular relates to a water environment monitoring and quality-control data analysis method. The method is characterized by comprising the following steps of: a, acquiring water environment quality-control data to be verified; b, establishing a support vector machine water environment quality-control data forecasting module; c, comparing the quality-control data output with quality-control data in historical data which is identical in analysis method and instrument type, to obtain a deviation; and d, determining whether the verification of the data passes or not by the following specific steps of: judging that the data is rational and the verification passes if the deviation is not high, and adding into a historical dataset; or if the deviation is excessively high, classifying the data as suspect data. According to analysis research method disclosed by the invention, in analysis of the water environment monitoring and quality-control data, the problem on processing, verification and analysis of various rapid increasing and nonlinear multivariable monitoring and quality-control data is solved, and the demand of scientific management is met.