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An airborne radiometric survey can be an efficient way to investigate contamination of large areas after nuclear accidents. In the current study, a helicopter borne gamma ray spectrometry survey was carried out in a vast mountainous area in Norway, where the contamination from the 1986 Chernobyl accident still affects animal husbandry more than 30 years after the fallout occurred. The 137 Cs activity densities provided by the aerial survey was validated using various independent ground-based measurements - including soil samples and in situ measurements (at 1 m above ground). Despite considerable small-scale heterogeneity, demonstrated by the ground-based measurements, strong correlations were obtained between the results from the aerial survey - after introducing more detailed instrument calibration and spectre analysis - and the ground-level data. Adjusted R 2 values were around 0.9, and linear correlation coefficients close to unity., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Models and approaches have been developed to predict radiation exposure of wildlife under field conditions. However, there have been few attempts to directly measure radiation exposure of wildlife in the field and confirm the doses predicted by models. This is a potential issue for stakeholder acceptance of modelling-based assessments. Here is presented a comprehensive study comparing the results of different dosimeters fitted to free-ranging reindeer inhabiting an area that received comparatively high radiocaesium deposition from the 1986 Chernobyl accident. The external dose of reindeer was measured using the four dosimeter types in aluminium box mounted on the GPS collar. The measurements were compared with two model predictions: (i) external dose to reindeer across the entire range area of the herd; and (ii) external doses of individual reindeer predicted using GPS tracking data to determine locations. It was found that although significant differences between the estimates of the various dosimeters were found these were small with no practical implication. Also, the mean predicted external doses using the GPS tracking data were not significantly different to estimates from two of the four passive dosimeter results. The average external dose predicted across the herd area was significantly lower than doses recorded by the dosimeters and also estimates using GPS data to determine reindeer location (and hence exposure). For 137 Cs the average external dose from the GPS tracking data was about twice that predicted across the herd area, because collared animals favoured the more contaminated area of the study site. This suggests that in some circumstances the assumption of averaging contamination over an assumed home range within assessments may be inadequate though this would need to be balanced against other uncertainties. Natural radiation was the greatest contribution to reindeer exposure and a function of the high altitude., (Copyright © 2019 Elsevier B.V. All rights reserved.)

In situ gamma spectrometry is a widely applied analysis technique for the determination of radioactivity levels in soil. Compared to traditional laboratory analysis of soil samples, in situ techniques offer a quick and low-cost way of obtaining accurate results from on-site measurements. However, although the technique is well-known, the dependence of in situ gamma spectrometry on complex and time-consuming calibration procedures as well as in-depth knowledge of the geometric distribution of the source in the ground deters many potential users from employing it in their routine work. Aiming to alleviate this issue, a software tool named InSiCal (In Situ gamma spectrometry Calculator) has been developed to make in situ gamma spectrometry more accessible to both experts and non-experts in the field. This is done by simplifying and streamlining both calibration and activity calculation through a simple and intuitive graphical user interface. Testing in real field conditions show that InSiCal is capable of yielding results which are in very good agreement with soil sample analyses, and that the results may be obtained using different detector types (HPGe, NaI, LaBr and CZT). Overall, InSiCal, provides results which are comparable in accuracy to laboratory measurements, indicating that it fulfills its purpose successfully., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Simple and practical coincidence summing corrections for n-type HPGe detectors are presented for the common calibration nuclides (57)Co and (60)Co using a defined "virtual peak" and accounting for the summing of gamma photons with x-rays having energies up to 40 keV ((88)Y and (139)Ce). These corrections make it possible to easily and effectively establish peak and total efficiency curves suitable for subsequent summing corrections in routine gamma spectrometry analyses. Experimental verification of the methods shows excellent agreement for measurements of different reference solutions., (Copyright © 2012 Elsevier Ltd. All rights reserved.)