Identification of regions enriched or depleted in radioelements through nondistributional analysis of aerial radiometric data |
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| Authors: | Fredric L Prikle Thomas R Bement Jo Ann Howell Charles D Koch Newton K Stablein Richard J Beckman Gary L Tietjen |
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| Institution: | 1. Bendix Field Engineering Corporation, P.O. Box 1569, Grand Junction, CO 81502 U.S.A.;2. Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM 87545 U.S.A. |
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| Abstract: | Throughout the aerial radiometric reconnaissance survey portion of the U.S. Department of Energy's National Uranium Resource Evaluation (NURE) program, the identification of outliers (anomalies) was an important approach to locating regions with radio-element concentrations that are either higher or lower than expected. The method introduced herein to locate such regions involves three steps: selection of a high (or low) threshold for the variate of interest; use of the sample percentile to identify all points of interest; and movement of a window over the selected data to locate significant clusters of observations. These steps, applied to aerial radiometric 214Bi (equivalent uranium) data collected over the Copper Mountain area in Wyoming, resulted in the identification of areas enriched in that variate. |
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