Environmental

Soils and contaminated sites

• Probabilistic assessment of the spatial distribution of contaminated soil using both direct and indirect information data (electromagnetic, chromatographic, organoleptic). Soil classification. Uncertainty quantification on contaminated soil volumes. Design of optimal cost effective reclamation schemes.



• Polycyclic aromatic hydrocarbon and heavy metal contamination: steelwork and coal processing sites, abandoned landfill



• Hydrocarbon contamination refinery and disaffected oil processing plant sites



• Stochastic simulation for assessing initial and residual heavy metals concentrations in a partially decontaminated industrial site

Groundwater

• Advice and assistance on the application of geostatistical methods for the diagnosis of contaminated aquifers



• Advice and assistance on flow and mass transport simulations for detailed risk assessments and for deciding on optimal groundwater clean-up strategies



• Development of a dedicated software for assessing the saturation profiles and spatial distribution of spilled light non-aqueous phase liquids (LNAPL) in water-unsaturated zones



• Multiphase flow simulation of the contamination source of aquifers: Transpol project (contamination by light and heavy NAPL's)

Others

• Advice and assistance on the statistical analysis of air pollution data.



• Characterization of karstic formations using geostatistical methods (mapping of voids for the geotechnical assessment of soil stability).



• Advice on the sampling strategy and the statistical analysis of mechanical lab tests for the valorization of industrial wastes.



• Development of an EXCEL module for multivariate Monte Carlo analysis

References