Better predict the surfaces and volumes of soil requiring remediation with advanced geostatistics
Understand and use conditional simulations to quantify the level of uncertainty on estimated contaminated soil surfaces or volumes.
- Understand and use conditional simulations to quantify the level of uncertainty on estimated contaminated soil surfaces or volumes.
- Advocate remediation solutions taking into account the cleanup levels to be met.
- Assess the error associated to a cleanup scenario.
- 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 Premium only).
- Course material provided.
Who should attend
Engineers, technicians, consultancies, project owners, prime contractors, public bodies, industrial operators who wish to go further with geostatistics.
- Understand the difference between kriging and conditional simulations: why simulations are essential to a rigorous analysis of the uncertainties.
- Learn how to implement conditional simulations to:
- Generate probability maps of exceeding regulatory threshold (2D/3D).
- Generate distribution curves of surface/volume of soil requiring remediation according to the risk of exceeding a given threshold.
- Calculate the mass of pollutant from soil density and pollutant concentration.
- Derive the surface, volume and mass of soil requiring remediation according to the ‘’Pareto-Sol’’ principle.
- Generate the excavation maps from 3D interpolated contamination maps.
- Compare the efficiency of the different cleanup scenarii.