A new technique for processing airborne gamma ray spectrometry data for mapping low level contaminations

A new technique for processing airborne gamma ray spectrometry data has been developed. It is based on the noise adjusted singular value decomposition method introduced by Hovgaard in 1997. The new technique opens for mapping of very low contamination levels. It is tested with data from Latvia where...

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Bibliographic Details
Published in:Applied radiation and isotopes 1999-12, Vol.51 (6), p.651-662
Main Authors: Aage, H.K, Korsbech, U, Bargholz, K, Hovgaard, J
Format: Article
Language:English
Subjects:
Air Pollutants, Radioactive - analysis
Calibration
Cesium Radioisotopes - analysis
Latvia
Power Plants
Radioactive Hazard Release
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Spectrometry, Gamma - methods
Ukraine
Ukraine, Chernobyl
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Summary:A new technique for processing airborne gamma ray spectrometry data has been developed. It is based on the noise adjusted singular value decomposition method introduced by Hovgaard in 1997. The new technique opens for mapping of very low contamination levels. It is tested with data from Latvia where the remaining contamination from the 1986 Chernobyl accident together with fallout from the atmospheric nuclear weapon tests includes 137Cs at levels often well below 1 kBq/m 2 equivalent surface contamination. The limiting factors for obtaining reliable results are radon in the air, spectrum stability and accurate altitude measurements.
ISSN:0969-8043
1872-9800
DOI:10.1016/S0969-8043(99)00087-1