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为研究面降水受Kriging插值方法中不同变异函数与空间分异量化的影响,以田头水流域为例,使用Kriging插值方法对2012年3场典型洪水的降水资料进行插值,探讨不同半变异函数及空间分异对降水空间插值结果的影响。结果表明,采用不同变异函数插值获得的结果在空间上整体相似、局部差异明显,且指数模型插值效果最接近观测值;考虑各向异性且使搜索范围符合流域形状和走势,可使降水量的Kriging插值结果更加精确。研究结果可为空间插值选择不同半变异函数及其各向异性参数化提供借鉴。
In order to study the effect of surface precipitation on different variogram and spatial variance in Kriging interpolation method, taking TianTu water basin as an example, the Kriging interpolation method was used to interpolate the precipitation data of three typical floods in 2012, and to explore different semi-variogram Effects of Spatial Differentiation on Spatial Interpolation Result of Precipitation. The results show that the results obtained by interpolation with different variogram functions are overall similar in space and with obvious local differences, and the interpolation effect of the exponential model is the closest to the observed value. Considering the anisotropy and making the search range conform to the shape and trend of the drainage basin, Kriging interpolation results more accurately. The results can provide reference for choosing different semi-variogram and anisotropic parameterization for spatial interpolation.