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Application of a computationally efficient geostatistical approach to characterizing variably spaced water-table data

机译：应用计算上有效的地质统计学方法来表征可变间隔的水位数据

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Geostatistical analysis of hydraulic head data is useful in producing unbiased contour plots of head estimates and relative errors. The problem that arises when kriging data at different densities is in achieving adequate resolution of the grid while maintaining computational efficiency and working within software limitations. For the site considered, 113 data points were available over a 14-sq mi study area, including 57 monitoring wells within an area of concern of 1.5 sq mi. Variogram analyses of the data indicate a linear model with a negligible nugget effect. Two-dimensional kriging was performed for the entire study area with a 500-ft grid spacing, while the smaller zone was modeled separately with a 100-ft spacing. The spatial head results for the detailed zone were then nested into the regional output by use of a graphical, object-oriented database that performed the contouring of the geostatistical output. This study benefitted from the two-scale approach and from very fine geostatistical grid spacings relative to typical data separation distances. The combining of the sparse, regional results with those from the finer-resolution area of concern yielded contours that honored the actual data at every measurement location.

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