Geovariances is involved in the H2020 INSIDER European research project aiming at building a methodology for improved nuclear site characterization and waste reduction in decommissioning operations. EPJ Nuclear Sciences and Technology has just published two articles about the work done on a guide to sampling, in partnership respectively with the Belgium Nuclear Research Center SCK.CEN and the French Alternative Energies and Atomic Energy Commission CEA.

Use case 3: post accidental site remediation − CEA | EPJ Nuclear Sci. Technol. 6, 13 (2020)

Reference: EPJ Nuclear Sci. Technol. 6, 13 (2020) – https://doi.org/10.1051/epjn/2019060

Abstract:
Within the H2020 INSIDER project, the main objective of work package 3 (WP3) is to draft a sampling guide for initial nuclear site characterization in constraint environments, before decommissioning, based on a statistical approach. This paper is dedicated to the sampling strategy for the use case 3 (UC3) about contaminated soils, in the context of post-incidental remediation of a site. For this use case, the constraint environment comes from the difficulty of collecting samples beneath a building on the one hand and the fact that samples were collected in the past with no possibility for additional samples. This task has been initiated by gathering prior knowledge for the contaminated site and analyzing the available dataset (historical assessment + available data from non-destructive and destructive analyses).

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Development of a user-friendly guideline for data analysis and sampling design strategy

Reference: EPJ Nuclear Sci. Technol. 6, 16 (2020) – https://doi.org/10.1051/epjn/2020006

Abstract:
Within the H2020 INSIDER project, the main objective of work package 3 (WP3) is to draft a sampling guide for initial nuclear site characterization in constraint environments, before decommissioning, based on a statistical approach. The second task of WP3 aims at developing a strategy for sampling in the field of initial nuclear site characterization in view of decommissioning, with the most important goal to guide the end-user to appropriate statistical methods (including, but not limited to those identified during the first overview task) to use for data analysis and sampling design. To aid the end-user in applying this strategy, a user-friendly application for guiding the end-user through the contents of the strategy and the initial characterization process is also developed.

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