Calculation of Bed Changes in Mountain Streams

López, José Luís; Falcon, Marco

doi:10.1061/(asce)0733-9429(1999)125:3(263)

Cited by 15 publications

(27 citation statements)

References 17 publications

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“…This more extensive, spatially distributed calibration at the Kleine Emme partly also explains the better agreement of simulated and reference ABT at the Kleine Emme compared to the Brenno. Few studies (Lopez and Falcon, 1999;Chiari and Rickenmann, 2011;Mouri et al, 2011) have performed a spatially distributed comparison of simulations and field observations, similar to what is presented in this article. However, these studies focused on shorter river lengths than the Brenno and the Kleine Emme.…”

Section: Simulations For the Calibration Periodmentioning

confidence: 84%

“…6 (HEC-6) (Bhowmik et al, 2008), the model SEDROUT (Ferguson et al, 2001), the Generalized Stream Tube Alluvial River Simulation model (GSTARS) (Hall and Cratchley, 2006), the FLUvial Modelling ENgine (FLUMEN) (Beffa, 2005), the BASic EnvironMENT for simulation of environmental flow and natural hazard simulation (BASEMENT) (Faeh et al, 2011) and others (e.g. Lopez and Falcon, 1999;García-Martinez et al, 2006;Li et al, 2008) fall in this group.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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Abstract.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 predetermined 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.

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Section: Simulations For the Calibration Periodmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

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

et al. 2015

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Section: Fractional Transport and Grain-size Distributionsmentioning

confidence: 99%

“…A4) implemented in sedFlow is similar to the approach of Lopez and Falcon (1999) for the evolution of the local grain-size distribution. However, Lopez and Falcon (1999) only introduced a lower threshold for the thickness of the active surface layer. This means that the subsurface alluvium remains constant even in cases of massive aggradation and that the active surface layer may reach unrealistically high thickness values, especially in cases of intense aggradation.…”

Section: Fractional Transport and Grain-size Distributionsmentioning

confidence: 99%

“…Other sediment transport models have been described by Mouri et al (2011), Lopez and Falcon (1999) and Hoey and Ferguson (1994), all of which feature the one-dimensional simulation of fractional bedload transport using a simplified representation of the hydraulic processes. The model of Mouri et al (2011) can represent a combination of debris flow, bedload and suspension load processes.…”

Section: Introductionmentioning

confidence: 99%

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sedFlow – a tool for simulating fractional bedload transport and longitudinal profile evolution in mountain streams

et al. 2015

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Abstract. Especially in mountainous environments, the prediction of sediment dynamics is important for managing natural hazards, assessing in-stream habitats and understanding geomorphic evolution. We present the new modelling tool sedFlow for simulating fractional bedload transport dynamics in mountain streams. sedFlow is a one-dimensional model that aims to realistically reproduce the total transport volumes and overall morphodynamic changes resulting from sediment transport events such as major floods. The model is intended for temporal scales from the individual event (several hours to few days) up to longer-term evolution of stream channels (several years). The envisaged spatial scale covers complete catchments at a spatial discretisation of several tens of metres to a few hundreds of metres. sedFlow can deal with the effects of streambeds that slope uphill in a downstream direction and uses recently proposed and tested approaches for quantifying macro-roughness effects in steep channels. sedFlow offers different options for bedload transport equations, flow-resistance relationships and other elements which can be selected to fit the current application in a particular catchment. Local grain-size distributions are dynamically adjusted according to the transport dynamics of each grain-size fraction. sedFlow features fast calculations and straightforward pre-and postprocessing of simulation data. The high simulation speed allows for simulations of several years, which can be used, e.g., to assess the long-term impact of river engineering works or climate change effects. In combination with the straightforward pre-and postprocessing, the fast calculations facilitate efficient workflows for the simulation of individual flood events, because the modeller gets the immediate results as direct feedback to the selected parameter inputs. The model is provided together with its complete source code free of charge under the terms of the GNU General Public License (GPL) (www.wsl.ch/sedFlow). Examples of the application of sedFlow are given in a companion article by Heimann et al. (2015).

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Channel response to gravel mining activities in mountain rivers

López

2004

J. Mt. Sci.

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Calculation of Bed Changes in Mountain Streams

Cited by 15 publications

References 17 publications

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

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

sedFlow – a tool for simulating fractional bedload transport and longitudinal profile evolution in mountain streams

Channel response to gravel mining activities in mountain rivers

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