Better characterize chemical pollution or radiological contamination with geostatistics
Understand and master the use of geostatistics solutions to characterize chemical pollution or radiological contamination.
- Understand and master the use of geostatistics solutions to characterize chemical pollution
- Generate robust contamination maps, the accuracy level of which is quantified.
- Delineate the impacted areas in an objective way.
- Half of the course is devoted to methodological presentations, the second half to practical exercises on real life cases to deepen the understanding of concepts. Focus is on illustrations and practical contribution of the covered concepts.
- Computer exercises with Kartotrak (licence One or Premium).
- Course material provided.
Who should attend
Engineers, technicians, consultancies, project owners, prime contractors, public bodies, industrial operators who wish a pratical introduction to the geostatistical methods for pollution/contamination characterization.
Day 1: Analyse data and their variability in space
- Better understand pollution data and put them back in their environmental context: taking into account historical and contextual data (lithology, aerial views, Digital Elevation Model, etc.) and 2D/3D vizualization.
- Validate data: use of statistical methods for data analysis and quality control.
- Understand the concept of spatial variability and the operational implications for the feasibility of some cleanup methods.
- Quantify the spatial variability of a pollutant: calculation, interpretation and modeling of the variogram.
Day 2: Pollution/contamination mapping
- Discover usual interpolation methods and their limits of application.
- Understand the principles and properties of 2D and 3D kriging and implement the technique for a rigorous mapping of the pollution/contamination.
- Use kriging results to identify the areas which require further characterization.
- Generate excavation plans from 3D interpolated contamination maps.
- Compare the efficiency of several cleanup scenarii.
This course does not require prior knowledge in geostatistics.
To go further, we recommend that you complete this training with one of the following courses:
- Better predict surfaces and/or soil volumes to be rehabilitated with advanced geostatistics
- Improve chemical pollution or radiological contamination characterization with advanced geostatistics
This course can also be followed by an “à la carte” workshop based on your own data.