A forecast model of sand-storm in China is established by BP artificial neural network. The inputs of the model are the time coefficients of REOF in a few of physical fields, and the outputs are sand-storm or no sand-storm in China. The result shows that combination of these two methods has better effect on forecasting sand-storm.