Seminar: an Overview of Geostatistics for Radio-Contaminated Site Characterization
A one-day seminar to understand the relevance of geostatistics, its added value and implementation conditions for efficient radio-contaminated site characterization - 1-day awareness course
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Price : Euros 495/participant
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Objective
- Get introduced to geostatistical solutions relevant for the characterization of radio-contaminated sites: sampling optimization, quality control and exploratory data analysis, analysis of the spatial heterogeneity, estimation of in-situ contamination and of the contaminated volumes, quantification of related uncertainties.
- Understand the relevance of geostatistics, its added value and conditions for implementation.
Format
Methodological presentations illustrated with practical examples on real cases involving various types of contamination: soils, facilities, waste dumps, etc. Significant time will be allotted for discussions about real projects and feedbacks.
Who should attend
Decision-makers, engineers and technicians involved in the characterization or remediation of potentially radio-contaminated sites.
Seminar content
- Current practices
- Presentation of classical approaches implemented for the sampling of potentially contaminated sites, their characterization and the waste categorization.
- Pros/Cons and underlying assumptions of these approaches.
- Understanding the spatial heterogeneity of contamination
- Practical introduction to the concepts of heterogeneity and spatial variability of radiological compounds. Operational consequences on the feasibility of given remediation techniques.
- How to quantify the spatial variability: calculation and interpretation of the variogram.
- Recommendation for the sampling of potentially contaminated sites.
- Mapping in-situ contamination
- Presentation of common deterministic interpolation methods.
- Introduction to the kriging and its advantages: integration of the spatial variability, quantification of the attached uncertainty.
- Accounting for auxiliary information: site history, qualitative observations and in situ measurements.
- Quantifying and locating contaminated volumes
- Risks attached to the use of interpolation methods for categorizing waste.
- Practical introduction to the approach based on stochastic simulations.
- Presentation of results: global estimation of source term, contaminated volumes and the attached uncertainty, waste classification.
This course may be scheduled for another date and/or location. Tailored courses may also be organized on client demand. Please contact your sales representative to request more information.
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