Bedload Transport in Alluvial Channels

Bravo-Espinosa, Miguel; Osterkamp, W. R.; Lopes, Vicente L.

doi:10.1061/(asce)0733-9429(2003)129:10(783)

Cited by 59 publications

(44 citation statements)

References 20 publications

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“…8͒. Similar to previous studies ͑Gomez and Church 1989; Reid et al 1996;Yang and Huang 2001;Habersack and Laronne 2002;Bravo-Espinosa et al 2003;Barry et al 2004͒, we find that most equations tend to overpredict. However, performance of a particular equation seems to be site specific.…”

Section: Bed-load Transport Rate At Effective Dischargesupporting

confidence: 90%

“…Previous studies assessing the accuracy of bed-load transport equations have considered equation performance statistically based on paired observations of measured and predicted bed-load transport rates ͑e.g., Gomez and Church 1989;Yang and Huang 2001;Bravo-Espinosa et al 2003;Barry et al 2004͒. However, transport measurements were typically taken during low flows, biasing the assessment of equation performance toward low discharges ͑Fig.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Bed-Load Transport Equations Relative to Geomorphic Significance: Predicting Effective Discharge and Its Transport Rate

et al. 2008

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Previous studies assessing the accuracy of bed-load transport equations have considered equation performance statistically based on paired observations of measured and predicted bed-load transport rates. However, transport measurements were typically taken during low flows, biasing the assessment of equation performance toward low discharges, and because equation performance can vary with discharge, it is unclear whether previous assessments of performance apply to higher, geomorphically significant flows ͑e.g., the bankfull or effective discharges͒. Nor is it clear whether these equations can predict the effective discharge, which depends on the accuracy of the bed-load transport equation across a range of flows. Prediction of the effective discharge is particularly important in stream restoration projects, as it is frequently used as an index value for scaling channel dimensions and for designing dynamically stable channels. In this study, we consider the geomorphic performance of five bed-load transport equations at 22 gravel-bed rivers in mountain basins of the western United States. Performance is assessed in terms of the accuracy with which the equations are able to predict the effective discharge and its bed-load transport rate. We find that the median error in predicting effective discharge is near zero for all equations, indicating that effective discharge predictions may not be particularly sensitive to one's choice of bed-load transport equation. However, the standard deviation of the prediction error differs between equations ͑ranging from 10% to 60%͒, as does their ability to predict the transport rate at the effective discharge ͑median errors of less than 1 to almost 2.5 orders of magnitude͒. A framework is presented for standardizing the transport equations to explain observed differences in performance and to explore sensitivity of effective discharge predictions.

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Section: Bed-load Transport Rate At Effective Dischargesupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Performance of Bed-Load Transport Equations Relative to Geomorphic Significance: Predicting Effective Discharge and Its Transport Rate

et al. 2008

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“…Hence the question arises: Does the relation of MPM in fact fit the data used in its derivation? Answering this is of significance not only because the MPM bedload transport predictor is commonly used for comparative purposes in basic research (see e.g., Abdel-Fattah et al 2004;Barry et al 2004;Bettess and Frangipane 2003;Bolla Pittaluga et al 2003;Bravo-Espinosa et al 2003;Defina 2003;Gaudio and Marion 2003;Knappen and Hulscher 2003;Martin 2003;Mikoš et al 2003;Nielsen and Callaghan 2003;Ota and Nalluri 2003;Singh et al 2004;Yang 2005), but also because it is frequently used in engineering applications (it is one of the relationships available in HEC-6, a computer software used for sediment transport calculations that is very popular in the USA).…”

Section: Introductionmentioning

confidence: 99%

Reanalysis and Correction of Bed-Load Relation of Meyer-Peter and Müller Using Their Own Database

2006

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ABSTRACT:The pioneering predictor of fluvial bedload transport rate proposed by Meyer-Peter and Müller in 1948 is still extensively used in basic research and engineering applications. A review of the basis for its formulation reveals, however, that an unnecessary bed roughness correction was applied to cases of plane-bed morphodynamic equilibrium. Its inclusion followed a flow resistance parameterization in terms of the Nikuradse roughness height, which has been shown (well after the publication of their work) to be inappropriate for the characterization of

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“…Hey & Meigh (1992) [21] and Bravo-Espinosa et al (2003) [22] pointed out that the weak relation between bedload transport and shear stress can be attributed to the interaction of "supply-limited" (mostly less material available than could be potentially transported through a section) and "transport-limited" (availability of material exceeds transport capacity) conditions. These conditions often occur "simultaneously", i.e.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal variability of bedload transport rate: analysis and 2D modelling approach

2008

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Field measurements to calibrate numerical bedload formulae are largely missing. Measurements using a Large Helley-Smith sampler were performed over a period of five years in the large Alpine Drau River, Austria. Our results reveal the high spatio-temporal variability of bedload transport rates. Commonly used bedload predictors poorly describe measured transport rates. Temporal and localised cross-sectional variation in bedload transport rates are observed in short time frames. To obtain significant mean values, the measurement period has to be extended to cover the existing bedload transport periodicity. The discrepancy between bedload transport measurements and simulation is partially explained by local hydraulic variations. The results can be improved, particularly for verticals where most of the bedload occurs, by relating measured transport rates to local hydraulic parameters. The incorporation of local cross-sectional parameters demonstrates the utility of 2D bedload models and their greater predictive power over similar 1D models.

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Bedload Transport in Alluvial Channels

Cited by 59 publications

References 20 publications

Performance of Bed-Load Transport Equations Relative to Geomorphic Significance: Predicting Effective Discharge and Its Transport Rate

Performance of Bed-Load Transport Equations Relative to Geomorphic Significance: Predicting Effective Discharge and Its Transport Rate

Reanalysis and Correction of Bed-Load Relation of Meyer-Peter and Müller Using Their Own Database

Spatio-temporal variability of bedload transport rate: analysis and 2D modelling approach

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