Abstract: In order to prevent the rice blast better, people need to have stronger forecast capability to the rice blast. Based on the meteorological data of Tonghua from 1995-2012, the author calculated the aggravating-disease bio-meteorological index of the rice blast, and conducted the correlation analysis of the occurrence degree of rice blast and it. The author divided the occurrence degree of rice blast into 3 grades, namely mild, moderate and severe occurrence. Finally the author created the meteorological forecast model for the occurrence degree of rice blast by using the statistical method. The results showed that: the accurate rate of the model testing was 76.4%, and the forecast testing was very well, too. The forecast model had a certain level of usability, and it could provide scientific evidence for the rice blast prevention and treatment work in Tonghua. Meanwhile, based on the features of the rice blast in Tonghua, the author created making and announcing schedules for the meteorological forecast of the rice blast occurrence degree, and put forward the best prevent time for the rice blast.