Training area II: Development, validating and application of innovativ tools for monitoring of contaminant degradation
WP 11 will develop advanced mathematical systems modelling to quantify water fluxes and transport parameters in heterogeneous porous aquifers. This ER fellow will join the project at a time when first results allow the construction of mathematical models. Additionally, experiments with artificial tracers of different diffusion properties will be performed and modelled to estimate different forms of water transport, the existence of stagnant water and the diffusive exchange between mobile and immobile water phases, and to quantify the system parameters. ER fellow 11 (SV: P. Małoszewski, HMGU) will work in close collaboration with fellows 7 (HMGU) and 15 (DTU). Also, fellow 11 will investigate the transport of contaminants by incorporating sorption and biodegradation reaction kinetics, as well as CSIA of reactive contaminants provided by fellows 2, 3 (GEUS), 6 (K.U.Leuven), 7 (HMGU), and 10 (DTU). The resulting water flux and reactive transport models will be tested at laboratory and field scales by fellows 12 (VITO), 13 (K.U.Leuven), and 14 (UGent). These models and results shall form the basis to predict the dynamics of contaminated sites and to develop strategies to stimulate and support remediation processes. Fellow 11 will get an insight into project consulting and legal affairs provided during a 2 weeks internship by UBA (S. Richter) and an internal training over a total of 1 month during 3 years for the handling of 1 or 2 files of environmental consultancy will be provided by Arcadis D (T. Held). Stanislaw Maciejewski will visit HMGU for a period of 2 months for the training of fellow 11 in numerical modelling of tracer experiments and transport processes. In the planned ITN, the ER fellow 11 should bring along a well-established expertise in application of artificial tracer methods as well the mathematical modelling of transport processes. Therefore, this fellow is required to have PhD experience or equivalent. This modelling effort is complemented by the expertise in parameter estimations in laboratory (VITO, Belgium), as well as in the assessment of field sites by the partners from DTU.