海河流域降水空间插值方法的选取

在水资源承载力模型的研究中,空间插值可以提供每个计算栅格的气象要素资料。在众多的气象要素空间插值方法中,并没有一种适合每一个气象要素的最佳插值方法,因此在不同的区域进行气象插值时,宜采用不同的方法进行比较,从而得到最佳的插值方法。本文以京津冀地区43个站1961-2000年降水资料为数据源,选用了距离平方反比法(IDS)、梯度距离平方比和普通克里格法。交叉验证结果表明:在海河流域进行降水插值分析时由于各月份降水与高程之间的相关系数较弱,不宜采用GIDS方法;在本研究区内大部分月份降水数据进行对数变换后进行插值,插值精度得到了提升;对于月降水的插值Kriging方法比IDW方法更加优越。

Selection of the Spatial Interpolation Methods for Precipitation in the Haihe River Basin

In the water carrying capacity model research, every cell's climatic information can be used by interpolation method. As no single interpolation method is optimal for all regions and data, it is important to compare the results obtained using alternative methods applied to each region. In this study, two methods for spatial interpolation of precipitation data were compared. Forty-year monthly mean precipitation from the Haihe River Basin was interpolated using inverse distance weighted( IDW ) and Universal Kriging methods. Cross-validation tests show that the method of GIDS can not be used in the study, in addition, Universal Kriging method is more accurate in predictions than IDW in this area, furthermore, before interpolation of precipitation, a lg-transformation improves the accuracy well.