摘要
提出了一种基于DEM修正的Co-kriging(MCK)法,该方法在假设降雨和高程的数学期望满足一定比例的基础上,使得降雨同高程权重系数之和为1,从而提高了高程在降雨估值中的作用。滦河流域月降雨空间插值研究表明:MCK法得到的降雨插值精度最高。同时,当降雨高程相关系数大于0.71时,采用MCK法明显提高插值精度。
This paper presents a modified Co-kriging based on DEM（MCK）, which could increase the impact of elevation in the spatial interpolation of rainfall by making the sum of the weight coefficient of the rainfall and elevation equaling to 1 based on the hypothesis that there has a certain ration between the mathematical expectatioin of the rainfall and elevation. This technique is illustrated by using monthly rainfall observations in Luan River basin. The results show that smaller prediction errors are obtained by MCK could yields more accurate predictions than Ordinary Kriging when the correlation between rainfall and elevation is more than 0. 71 in the case study.
出处
《节水灌溉》
北大核心
2011年第12期53-56,共4页
Water Saving Irrigation
基金
国家自然科学基金项目(50739003
50979073)
博士点基金项目(20100141110061)
