摘要
目前常用的流域雨量插值方法中,大多数都没有考虑雨量的空间分布特征,无法检验插值结果,因此经常会出现一定的误差。地质统计学中的克里格方法是一种使插补误差达到最小并且对误差进行精确估计的插值方法。为此,尝试采用克里格方法对流域雨量进行估值,并分别将年平均、月平均、时段雨量的插值结果与距离反比法以及最临近法的插值结果进行了对比性检验。依据分析,得出了克里格方法内插估值的优势和不足。
Most of the interpolation procedures for rainfall in drainage basin in common use at present don＇t calculate the ability of spatial variability in rainfall fields, and can＇t check out the results of interpolation so that some errors occur. And Kriging interpolation method as a kind of geo-statistics is an interpolation procedure that minimizes the interpolation errors and gives an accurate estimate of that error. This paper uses Kriging method to estimate rainfall in drainage basin, gives the results of Kriging interpolation method, and compares it with Inverse Distance Square method and Nearest Neighbor method. According to the analysis, we can get the advantages and disadvantages of Kriging interpolation method.
出处
《水力发电》
北大核心
2005年第9期8-11,共4页
Water Power
基金
国家自然科学基金资助项目(50279006)
关键词
克里格法
距离反比法
最临近法
半变异函数
降雨量
流域
Kriging method
inverse distance square
nearest neighbor
semi-variogram
rainfall
river basin
