Statistical Algorithms for Designing Geophysical Surveys to Detect UXO Target Areas

Autor: Richard O. Gilbert, Brent A. Pulsipher, John E. Wilson, Derrick J. Bates, Robert F. O'Brien, Deborah K. Carlson
Rok vydání: 2005
Předmět:
Zdroj: Subsurface Sensing Technologies and Applications. 6:251-270
ISSN: 1573-9317
1566-0184
DOI: 10.1007/s11220-005-0012-1
Popis: The U.S. Department of Defense is in the process of assessing and remediating closed, transferred, and transferring military training ranges across the United States. Many of these sites have areas that are known to contain unexploded ordnance (UXO). Other sites or portions of sites are not expected to contain UXO, but some verification of this expectation using geophysical surveys is needed. Many sites are so large that it is often impractical and/or cost prohibitive to perform surveys over 100% of the site. In such cases, it is particularly important to be explicit about the performance required of the surveys. This article presents the statistical algorithms developed to support the design of geophysical surveys along transects (swaths) to find target areas (TAs) of anomalous geophysical readings that may indicate the presence of UXO. The algorithms described here determine (1) the spacing between transects that should be used for the surveys to achieve a specified probability of traversing the TA, (2) the probability of both traversing and detecting a TA of anomalous geophysical readings when the spatial density of anomalies within the TA is either uniform (unchanging over space) or has a bivariate normal distribution, and (3) the probability that a TA exists when it was not found by surveying along transects. These algorithms have been implemented in the Visual Sample Plan (VSP) software to develop cost-effective transect survey designs that meet performance objectives.
Databáze: OpenAIRE
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