天然牧草生育期平均气温插值方法研究

Study on the Average Temperature of Forage Growth Period Interpolation Method

天然牧草生育期平均气温是牧草生长、生态环境保护等模型的重要参数。为了找出适宜天然牧草生育期平均气温的差值方法,以内蒙古自治区为研究区域,根据气温的垂直变化规律,将不同经纬度和海拔高度上的气象站点牧草生育期平均气温数据根据海拔高程投影到虚拟0海平面上,利用反距离插值(IDW)、样条函数(Spline)插值、克里金(Kriging)插值3种插值方法进行研究区域牧草生育期平均气温的空间分布推算,再运用DEM数据进行校正,比较分析最适宜的牧草生育期平均气温空间插值方法。3种插值方法平均误差为:IDW插值(-1.34%)>Spline插值(1.11%)>Kriging插值(0.36%);RMSE值:Kriging插值<IDW插值<Spline插值,其值分别为0.36<0.69<0.74。MAE值:Kriging插值<Spline插值<IDW插值,其值分别为0.14<0.33<0.35。研究结果表明,克里金(Kriging)插值为牧草生育期平均气温最优插值方法。

The average temperature of forage growth period was an crop growth and eco-environmental protection. In order to find temperature interpolation of grass growth period, this paper took the important parameter for the model of grass out the optimum method for the average Inner Mongolia Autonomous Region as the study areas. Firstly, 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 〈 the values were 0.36 〈 0.69 〈 0.74. The MAE value： Kriging interpolation, the values were 0.14 〈 0,33 〈 0.35. The results optimum method for the average temperature interpolation of grass IDW interpolation 〈 Spline interpolation and showed that, Kriging interpolation was the growth period via comparative analysis.