To investigate groundwater dynamic in the Luohuiqu irrigation district of Shaanxi Province, different research methods for groundwater dynamic are comprehensively analyzed. The method of support vector machines (SVM) is proposed for predicting groundwater dynamic and building predicting model and two computer programs are compiled using MATLAB. Practical effectiveness of the theory of the SVM for groundwater dynamic prediction is discussed based on the irrigation data measured for many years. Results show that the SVM regression model can well express the complicated coupling relationship of groundwater dynamics. Therefore, the application of this method to the prediction in the irrigation district is feasible and practical.