Stochastic Modeling Framework of Catchment-Scale Reactive Transport (P07)

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Project P7 develops a stochastic modeling framework for flow and reactive transport on catchment scale. Processes at the land surface and in soils are simulated by stochastified soil-crop models, which are coupled to a stochastified 3-D flow model of the subsurface below root depth with travel-/exposure-time based models of multi-component nonlinear reactive transport of nitrate and pesticides in domains of Quaternary aquifers and to travel-/exposure-time based lumped models in karst regions. Parameters and forcings are considered as statistical distributions, resulting in distributions of predicted observables (heads, discharge, concentrations of reactive species). The parameter distributions will be conditioned on measurements of the observables by Ensemble-Kalman Filter techniques.