CAJ | 학술논문

为了实现离散降水数据到连续降水数据的插值,以内蒙古自治区多年(1950～2000年)平均降水量为例,讨论了不同空间插值方法的优劣,发现基于地统计方法的Kriging插值具有最佳的插值效果.进一步对比Ordinary Kriging和CoKriging插值方法的4种不同的半变异函数模型,结果表明利用指数半变异函数的CiKriging插值方法具有最小的预测误差.地统计方法对于预测降水具有重要的价值,而不同的地区具有各自适合的模型,理解该方法的数学原理和操作过程,对相关研究具有借鉴意义.
위료실현리산강수수거도련속강수수거적삽치,이내몽고자치구다년(1950～2000년)평균강수량위례,토론료불동공간삽치방법적우렬,발현기우지통계방법적Kriging삽치구유최가적삽치효과.진일보대비Ordinary Kriging화CoKriging삽치방법적4충불동적반변이함수모형,결과표명이용지수반변이함수적CiKriging삽치방법구유최소적예측오차.지통계방법대우예측강수구유중요적개치,이불동적지구구유각자괄합적모형,리해해방법적수학원리화조작과정,대상관연구구유차감의의.
Spatial interpolation of precipitation data is very important to those areas where the observation stations are few and at random. As no single method suits to precipitation interpolation for all regions, this paper discussed the differences between geostatistical analysis and other several interpolation methods by using annual average precipitation in Inner Mongolia of China. The results indicate that the geostatistical analyst methods have the advantage of other methods in interpolation precision. The comparison between two kinds of geostatistical analyst methods, Ordinary Kriging and CoKriging respectively shows that the latter is more effective and has a higher precision, and this owes to its inclusion of elevation which has an influence on precipitation processes. Comparing four different semi-variogram models of Kriging interpolation methods, the exponential model has the minimum RMSE, and the spherical model in the next place. This work could potentially enforce the related researches in interpolations of precipitation, and even other spatial climatic data.