Data Assimilation and Dismantling Waste: A Methodology Customised for Radioactive Inventory Assessment Purposes
- Electricite de France - CIDEN, 69 - Villeurbanne (France)
Data assimilation is a versatile methodology which is widely used nowadays for estimating complex system variables. The estimation of a given quantity by data assimilation involves taking into account both the observational data and the underlying physical principles governing the system under observation. Let us consider two assumptions, (1) the observational information consists of radioactivity measurements of numerous samples of graphite (or other material) from known points and (2) the physical principles are those of activation under neutron flux during nuclear power plant operation. With these two assumptions, a data-assimilation-like methodology is ready to be applied to radioactive inventory computation for dismantling graphite (or other material). The paper is written for a planned graphite disposal project in France, for the purposes of its inventory forecasting. It introduces specific concepts for activation laws, presents the beginning of the application to Bugey 1 plant pile and proposes an original method for overall error quantification. (authors)
- Research Organization:
- WM Symposia, 1628 E. Southern Avenue, Suite 9 - 332, Tempe, AZ 85282 (United States)
- OSTI ID:
- 21319750
- Report Number(s):
- INIS-US-10-WM-08174; TRN: US10V0439061941
- Resource Relation:
- Conference: WM'08: Waste Management Symposium 2008 - HLW, TRU, LLW/ILW, Mixed, Hazardous Wastes and Environmental Management - Phoenix Rising: Moving Forward in Waste Management, Phoenix, AZ (United States), 24-28 Feb 2008; Other Information: Country of input: France; 1 ref
- Country of Publication:
- United States
- Language:
- English
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