Rapid environmental surveying using mobile gamma ray spectrometry:processing of results from the RESUME99 exercise, Gävle, Sweden

NGU-RAPPORT
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2000.087
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Forfattere
Smethurst, Mark A.
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Utgivelsesår
2000
Publikasjonstype
Utgivelsesår
2000
ISSN
0800-3416
Summary
Data from mobile measuring teams participating in the RESUME-99 Fixed Route excercise in Sweden have been processed to facilitate a detailed comparison between the data sets. The exercise was organised by the Swedish Radiation Protection Institute (SSI) and is part of the BOK-1.2 project Mobile Measurements and Measurements Strategies within the Nordic Nuclear Safety Research (NKS) programme for 1998-2000. 11 car-borne gamma ray spectrometer systems measured a fixed route in the vicinity of Gävle in Sweden so that the capabilities of the different measuring systems in determining the levels and patterns of 137Cs contamination along the route could be studied. This reports describes how the data sets from the different measuring systems were projected into the known trace of the fixed route so that the results can be compared. Estimates of equivalent surface activity of 137Cs from the different measuring systems were normalised to data obtained byt he Danish Emergency Management Agency (system DKA1) and then combined to produce an overall (cross-system) 137Cs profile for the fixed route. Original and processed data are stored in ASCII text files on a CD that accompanies this report. The Geological Survey of Norway (NGU) measured the fixed route 9 months afteer the RESUME-99 exercise. The NGU's results have been processed alongside the data from the exercise and a version of the overall cross-system 137Cs profile has been produced that includes the NGU's measurements. The NGU's measurements are an important supplement to data from RESUME-99 because that NGU's measuring system incorporates an NaI detector four times the volume of the largest detector used in the exercise. This permits a measuring interval half as long as the shortest interval used in the exercise, which leads to a higher spatial resolution for the NGU data.
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