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Distributed flood control measures such as land-use changes or differing soiltillage practices which affect the runoff generation process, are hard tosimulate physically based due to a high degree of uncertainty with regard tosoil parameterisation. In this study the physically based rainfall runoffmodel WaSiM-ETH (Version 8.4.2) was used with a multi-layered vegetation andsoil parameterisation. The modelling area was the meso-scaled and rurallycharacterised Windach catchment. In addition, soil measurement datasets werecompared to demonstrate the uncertainties in soil parameterisation ofphysically based models. The datasets were gained from the hillslope scale atthe Scheyern research farm with similar soil conditions to the Windachcatchment. While parameterising and calibrating the model, seven differentpedotransfer functions were used with strong influence on the simulatedhydrographs. The differing bulk densities of soils depending on land-use andsoil tillage must be taken into consideration due to their high impact onmodelling results, and they also offer a comprehensive way to modeldistributed flood control measures. These measures have noticeable effects onflood events under HQ<sub>10</sub>, especially if the land-use type which isaffected by the distributed flood control measure is the dominating land-useform in the catchment area. To account for the variability of soils in theinvestigation area of Scheyern, different approaches were applied to estimatesoil hydraulic properties and saturated hydraulic conductivity, and werecompared to field measurements

Uncertainties of soil parameterisation in process-based simulation of distributed flood control measures