Published July 2010 | Version v1
Journal article

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

  • 1. Comenius University, Bratislava (Slovakia). Department of Nuclear Chemistry, Faculty of Natural Sciences
  • 2. Pardubice University, Pardubice (Czech Republic). Department of Analytical Chemistry, Faculty of Chemical Technology

Description

The decommissioning of the nuclear power plant (NPP) A1 Jaslovske 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 239,240Pu, 90Sr and summary beta in cooling water using a regression triplet technique has been built using the regression triplet analysis and regression diagnostics. (author)

Additional details

Publishing Information

Journal Title
Journal of Radioanalytical and Nuclear Chemistry
Journal Volume
285
Journal Issue
2
Journal Page Range
p. 547-553
ISSN
0236-5731
CODEN
JRNCDM

Optional Information

Notes
8 refs.