Based on the structure risk minimum criterion of support vector machine(SVM)and the nonlinear combination forecast theory,selecting three computation models of trends prediction, the square LS-SVM is applied to establish the combination forecast model for predicting the water demand quota for ten thousand yuan industry GDP. The application example shows that the model has stronger generalization capacity and adaptability than the model of single item and linear combination forecast,and can effectively enhance forecast precision.