Training
2D mapping of radiological contaminations using geostatistics
Objectives
- Map radiological contamination across soils and building structures, with the uncertainty on every estimate quantified.
- Classify each zone against your radiological thresholds, and specify the degree of uncertainty associated with each decision.
- Pinpoint where your survey is too sparse, and design the extra sampling that will genuinely reduce that uncertainty.
- Recognize when 2D mapping is enough, and when depth profiles in soil or concrete call for 3D modeling.
Target audience
Engineers and technicians, environmental consultancies, site owners and the consultants who manage their projects, public bodies and industrial operators who want a practical introduction to geostatistics for radiological characterization.
Content
Day 1. Analyze the data and its spatial variability
- Set the radiological data in its environmental context: site history and contextual data — area of interest, aerial imagery, digital elevation model — and 2D visualization.
- Validate the data: statistical analysis and quality control.
- Understand spatial variability and what it means in practice for sampling and for remediation options.
- Quantify the spatial continuity of the contamination: calculate, interpret, and model the variogram.
Day 2. Map the contamination and classify the surfaces
- Understand the principles and properties of 2D kriging, and apply it to map surface contamination appropriately.
- Use the estimation uncertainties to identify the areas that need further characterization.
- Classify contaminated areas against radiological thresholds.
- Work through depth profiles in soil and concrete, and what they imply for 3D geostatistical modeling.
What the course includes
- Half methodology, half practical work on real cases, with an emphasis on applying the concepts rather than deriving them.
- Hands-on exercises in Kartotrak.
- A temporary software license, course notes, and the exercise datasets.
- Assessment by multiple-choice test and case study. Certificate of completion issued at the end of the session.
Prerequisites
No prior geostatistics knowledge is required. Basic statistics will help you get more out of the course.
This course can be extended with a Kartotrak à la carte workshop run on your own data.
The trainer
Meryem Meziane, PhD
Consultant, Geostatistics & Environment
Drawing on doctoral research in geostatistics applied to nuclear safety at ASNR and teaching experience at Mines Paris–PSL and Université Paris Cité, Meryem supports clients in implementing Kartotrak. She turns sampling data into reliable 3D contamination models, defensible volume estimates, and robust remediation decisions, tailored to the challenges of contaminated sites and nuclear decommissioning.
Register, or ask us first
This form handles all three: registration, a quote for yourself or your team, and questions about the content or the prerequisites.
Address
44 Avenue de Valvins, 77210 Avon, France