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Fully validated numerical models specifically designed for simulating bedload transport  dynamics in mountain streams are rare. In this study,  the recently developed modelling tool sedFlow has been  applied to simulate bedload transport in the Swiss mountain  rivers Kleine Emme and Brenno. It is shown that sedFlow can be used to  successfully reproduce observations from historic bedload transport  events with plausible parameter set-ups, meaning that calibration parameters are only varied within ranges of  uncertainty that have been pre-determined either by previous research or by field observations in  the simulated study reaches. In the Brenno river, the spatial distribution of total transport  volumes has been reproduced with a Nash–Sutcliffe goodness of fit of 0.733;  this relatively  low value is partially due to anthropogenic extraction of sediment that was not considered.  In the Kleine Emme river, the spatial distribution of total transport volumes has been reproduced with a goodness of fit of 0.949.  The simulation results  shed light on the difficulties that arise with traditional flow-resistance  estimation methods when macro-roughness is present. In  addition, our results demonstrate that greatly simplified hydraulic  routing schemes, such as kinematic wave or uniform discharge  approaches, are probably sufficient for a good representation of  bedload transport processes in reach-scale simulations of steep mountain streams. The influence  of different parameters on simulation results is semi-quantitatively evaluated in a simple  sensitivity study. This proof-of-concept study demonstrates the  usefulness of sedFlow for a range of practical applications  in alpine mountain streams

Calculation of bedload transport in Swiss mountain rivers using the model sedFlow: proof of concept