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三维成像是环境数据解译及视像化的有力技术。它的成功与在栅格化及成像过程中细心与技术上合理的选择变量参数有关。对在成层海岸平原沉积物中具有明显污染特征的地方，产生多种可供选择的图像的办法，检查了各种栅格化及可能的参数选定方法对最后成像及容量计算的影响。分散的数据是从成层地质媒质中分布得很密的井孔中获取，对这些数进行正确的成像，需要Ｚ方向上较高的栅格密度以及一个用于强调ｘ与ｙ方向上数据影响的权重因子。对于变化率很大的污染物浓度数据，最好的结果是通过特征值对数的栅格化而获得。在准备视像化文件之前再进行反对数变换以把特征值恢复为正确的值。这篇文章中的方法和建议是为建立具有很强的各向异性媒质中梯度很陡的污染值的模拟而设计的．这些建议或许不能直接用于其它地点，然而选择参数的过程将会是相似的．
Three-dimensional imaging is a powerful technique for interpreting and visualizing environmental data. Its success has to do with careful and technically justified choice of variable parameters in rasterization and imaging. A variety of alternative images were generated for areas with significant contamination in stratigraphic coastal plains and the effects of various rasterization and possible parameter selection methods on final imaging and capacity calculations were examined. Scattered data is taken from well-distributed boreholes in stratigraphic geological media. Proper imaging of these numbers requires higher grid densities in the Z-direction as well as a data set that emphasizes the data in the x and y directions The weight factor. The best result for contaminant concentration data with very variable rates is obtained by rasterization of the log of eigenvalues. Before preparing the visualization file, perform an inverse logarithmic transformation to return the eigenvalue to the correct value. The methods and recommendations in this article are designed to establish simulations of very steep gradient contamination values in anisotropic media. These suggestions may not be directly applicable to other locations, however, the process of selecting parameters will be similar.