TU Berlin

Urban Water InterfacesResearch focus 2

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Research focus 2: Development of conceptual models and predictive computational tools

A basic premise of the proposed project is that natural and technical interfaces share many commonalities in the urban water system. This includes flow and reactive transport between free flowing water and porous media, between wastewater and the gas space in sewer systems, and between rivers and lakes. These processes need to be described by detailed conceptual models and predictive computational tools based on either new numerical developments or extensions of established approaches. This includes (i) development of special interface conditions and coupling methods (N6, T3, T4); (ii) development of new integrated conceptual models for coupled flow, transport and biogeochemical reactions at interfaces (N7); (iii) development of a multiphase and multi-component flow and reactive transport model for odour and corrosion in sewer networks (T3); (iv) extensions of an existing lake-ecosystem model to account for changes in groundwater fluxes by bank filtration (N5); (v) development of robust discretisation methods and solvers accounting for steep gradients, non-linearities and feedback effects (N7, T3); (vi) coupling methods of data mining, artificial intelligence, machine learning and GIS for heat and vapor transport at the soil-atmosphere interface; and (vii) upscaling of interface processes (N2, N3, N4, N6, N7 and T1.

A modelling approach at different scales will be adopted: While N7 and T3 (see ii, iii) will initially focus on the laboratory scale, N2, N3, N4, N5, N6 and T4 (see iv, i) will be directly implemented at the field scale. The multiscale approach will also enable comparisons of different conceptual models for interface processes at different scales (N6, N7, see i, ii). The development of the new modelling and scaling approaches will already start at the beginning of the RTG. Model calibration and validation as well as the proofs of concept will be carried out subsequently using data and measurements from controlled laboratory and field experiments.

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