Statistical Algorithms Accounting For Background Density In The Detection Of Uxo Target Areas At Dod Munitions Sites

摘要

Statistically defensible methods are presented for developing geophysical detector sampling plans and analyzing data for munitions response sites where unex-ploded ordnance (UXO) may exist. Detection methods for identifying areas of elevated anomaly density from background density are shown. Additionally, methods are described which aid in the choice of transect pattern and spacing to assure with degree of confidence that a target area (TA) of specific size, shape, and anomaly density will be identified using the detection methods. Methods for evaluating the sensitivity of designs to variation in certain parameters are also discussed. Methods presented have been incorporated into the Visual Sample Plan (VSP) software and demonstrated at multiple sites in the United States. Application examples from actual transect designs and surveys from the previous two years are demonstrated.