Development of an autoradiographic method of investigation of hot particles from the chernobyl nuclear power plant

Akopova, A.B.; Viktorova, N.V.; Krishchian, V.M.; Magradze, N.V.; Ovnanian, K.M.; Tumanian, K.I.; Chalabian, T.S.

doi:10.1016/0969-8078(93)90222-p

Cited by 13 publications

(4 citation statements)

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“…As mentioned, the frequency distributions observed for the activities of hot particles from the Chernobyl fallout or from other nuclear power plants are obviously in most cases lognormal [4][5][6][7][8][9] and exhibit a fairly large relative standard deviation. Mandjukov et al 7 reported, e.g., for the activity distribution of 38 hot particles (fuel fragments) a geometric mean of 12 kBq and a geometric standard deviation of 6.5.…”

Section: Resultsmentioning

confidence: 99%

“…Experimental investigations on the frequency distribution of the activities of hot particles in the Chernobyl fallout demonstrated repeatedly the presence of log-normal distributions of A hp . [4][5][6][7][8][9] For this reason we will assume throughout the following a log-normal distribution for the activities. As will be seen later, the calculated probabilities for the detection of hot particles will not depend on the geometric mean or median activity but only on the relative width (relative standard deviation) of the frequency distribution.…”

Section: Methodsmentioning

confidence: 99%

“…For that, A sub-sample, max and A sub-sample, min are found, and DA sub-samples is calculated using eqn. (4). If DA sub-samples !…”

Section: Outline Of Routinesmentioning

confidence: 99%

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Probability for Detecting Hot Particles in Environmental Samples by Sample Splitting

Bunzl¹

1997

Analyst

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The presence of radioactive hot particles in environmental samples (e.g., soil, vegetation, sediments) is frequently detected by observing significant differences in the activities of sub-samples, which are otherwise alike. The probabilities for detecting hot particles in this way were calculated by using Monte Carlo methods as a function of the number of hot particles in the original sample, the number of sub-samples used, the frequency distribution of the activities of the hot particles, and the precision with which the activities of the sub-samples are determined. Assuming, for example, (i) a log-normal distribution of the activities of the hot particles with a relative standard deviation eta > or = 1, and (ii) that a difference of > 30% between the activities of the sub-sample with the largest and that with the smallest activity can be detected, splitting the original sample into three sub-samples will be sufficient to detect the presence of up to five hot particles with a probability of > 95%. If four sub-samples are used, the presence of up to 20 hot particles can be detected with this probability. In general, it will not be effective to increase the precision of the activity measurements of the sub-samples at the expense of the number of sub-samples investigated.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Probability for Detecting Hot Particles in Environmental Samples by Sample Splitting

Bunzl¹

1997

Analyst

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“…7. Activity of "hot particles" as a function of their diameter: (1) data for leaves and soil samples taken at distances of 1 and 5 km from CNPP in 1986 and 1990, respectively [105]; (2) data on soil samples taken at a distance of 600 m from CNPP in 1990 [106].…”

Section: Studies Of Environment Pollution By Nuclear Weapons Tests Anmentioning

confidence: 99%

Solid-state track detectors in radiometry, isotope analysis, and radiography

Nikolaev¹

2012

Radiochemistry

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Environmental radiochemistry and radioactivity

Bujdosó¹

1996

Journal of Radioanalytical and Nuclear Chemistry Articles

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Development of an autoradiographic method of investigation of hot particles from the chernobyl nuclear power plant

Cited by 13 publications

References 1 publication

Probability for Detecting Hot Particles in Environmental Samples by Sample Splitting

Probability for Detecting Hot Particles in Environmental Samples by Sample Splitting

Solid-state track detectors in radiometry, isotope analysis, and radiography

Environmental radiochemistry and radioactivity

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