Abstract:

The average temperature of forage growth period is an important parameter for the model of grass crop growth and eco-environmental protection. In order to find out the optimum method for the average temperature interpolation of grass growth period, this paper takes the Inner Mongolia Autonomous Region as the study areas. First, according to the temperature vertical changing regularities, the average temperature data in pasture growth period of all climate sites were projected in different longitude and latitude to the virtual 0 sea level based on the latitude. Spline, IDW, Kriging interpolation methods were used to carry on the data interpolation. And then DEM data was used to conduct the temperature correction. The average errors of three interpolation methods were: IDW interpolation (-1.34%) > Spline Interpolation (1.11%) > the Kriging Interpolation (0.36%). The RMSE value: Kriging interpolation < IDW interpolation < Spline interpolation and the values were 0.36 < 0.69 < 0.74. The MAE value: Kriging interpolation < Spline Interpolation < IDW interpolation, the values were 0.14 < 0.33 < 0.35. The results showed that, Kriging interpolation was the optimum method for the average temperature interpolation of grass growth period via comparative analysis.