Geostatistical Sampling Optimization and Waste Characterization of Contaminated Premises
This methodological study presents a geostatistical approach suitable for radiological evaluation in nuclear premises. By modelling the spatial continuity of activities, geostatistics provide sound methods to estimate and map radiological activities, together with their uncertainty.
The main geostatistical principles are first recalled and illustrated on a real premise from the CEA Cadarache centre used for uranium recycling into nuclear purity products (ATUE). Then, the paper investigates how it is possible to optimize the sampling strategy, to take historical information into account, and finally to quantify contaminated surface or volume uncertainties.