Decreasing Sampling Costs by Increasing Statistical Efficiency Through Geostatistics: A Case Study.

摘要

The INEL (Idaho National Engineering Laboratory) conducted a post- mortem examination of a dioxin cleanup study having a data base of over 2000 sampling points. The result of the post-mortem study was that approximately 60% of the sampling and analysis budget could have been saved, had geostatistics been used in the sampling design. Additionally, the final product of the sampling plan would have had greater utility at the site closure negotiations because of the reliability map uniquely generated through a technique known as ''kriging.'' We feel that kriging is an important cost saving tool which should be utilized more often in Installation Restoration Program (IRP) work. Directional variograms showing data anisotropy and sample planning information are shown. Maps delineating the dioxin isopleths and areal variances are also presented. 13 refs., 4 figs., 1 tab. (ERA citation 14:013694)