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三维属性建模是利用有限的采样数据,通过插值或模拟的方法来重构地学属性在三维空间中的分布.将Kriging方法推广到三维空间,从而演化为三维Kriging方法,可以为三维属性建模提供可靠的手段.而三维Kriging方法面临的一大难题就是各向异性变异函数的套合.提出了一种简单通用的三维空间变异函数的套合方法.该方法以空间坐标基的变换为基础,在套合时充分考虑轴向上变异差异的影响,并由此提出各向异性变化率的概念;论证了套合方法的可行性,并通过地下水水质三维属性建模的实例对该方法进行了有效的验证.
Three-dimensional attribute modeling is the use of limited sampling data, by interpolation or simulation method to reconstruct the geomagnetic attribute distribution in three-dimensional space. The Kriging method is extended to three-dimensional space, which evolved into a three-dimensional Kriging method, which can model three-dimensional attributes Provide a reliable means.An obvious challenge for the three-dimensional Kriging method is the fitting of anisotropic variational functions.This paper presents a simple and universal method of nesting the three-dimensional spatial variation function based on the transformation of the spatial coordinate base , The influence of variation in axial direction is fully taken into account when fitting, and the concept of rate of anisotropy is put forward. The feasibility of the method is demonstrated and the method is carried out through the example of three-dimensional modeling of groundwater quality Validated