Abstract: Based on grid meteorological predict element,NDSI index,DEM data and socio-econonffc data,the refined prediction of snow disaster risking of animal husbandPy was constructed by the theory of natural disaster risking. The GIS raster computing tool was used to calculate the average risk of snow disaster in the next ten days. The results are consistent with the distribution of disaster causing factors, and the actual situation is matching basically. However, the lack of refined industrial struetm＇e data and livestock distribution data has great influence on aeem＇aey, which is an important drawback that models need to solve re＇gently. Tiffs study combines the factors as the grid prediction, the animal husbandry production activities and tire soeio- economic conditions. Tire results are scientific and pertinent, and can effectively improve the meteorological service efteet, it is a positive exploration of prediction of the risk of snow disaster in animal husbandry.