TITLE

Scaling model for prediction of radionuclide activity in cooling water using a regression triplet technique

AUTHOR(S)
Dulanská, Silvia; Meloun, Milan; Mátel, Lubomír
PUB. DATE
September 2010
SOURCE
Journal of Radioanalytical & Nuclear Chemistry;Sep2010, Vol. 285 Issue 3, p547
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The decommissioning of the nuclear power plant (NPP) A1 Jaslovské Bohunice (Slovakia) is a complicated set of problems that is highly demanding both technically and financially. The basic goal of the decommissioning process is the total elimination of radioactive materials from the nuclear power plant area, and radwaste treatment to a form suitable for its safe disposal. The initial conditions of decommissioning also include elimination of the operational events, preparation and transport of the fuel from the plant territory, radiochemical and physical–chemical characterization of the radioactive wastes. One of the problems was and still is the processing of the liquid radioactive wastes. Such media is also the cooling water of the long-term storage of spent fuel. A suitable scaling model for predicting the activity of hard-to-detect radionuclides Pu, Sr and summary beta in cooling water using a regression triplet technique has been built using the regression triplet analysis and regression diagnostics.
ACCESSION #
52946312

 

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