Statistical algorithms accounting for background density in the detection of UXO target areas at DoD munitions sites |
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Authors: | Brett D Matzke John E Wilson John E Hathaway Brent A Pulsipher |
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Institution: | (1) Pacific Northwest National Laboratory, MSIN K6-08, PO Box 999, Richland, WA, USA |
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Abstract: | Statistically defensible methods are presented for developing geophysical detector sampling plans and analyzing data for munitions
response sites where unexploded 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 (free at ) and demonstrated at multiple sites in the United States. Application examples from actual transect designs and surveys from
the previous two years are demonstrated. |
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Keywords: | |
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