Comprehensive and Quality-Controlled Bedload Transport Database

Hinton, Darren; Hotchkiss, Rollin H.; Ames, Daniel P.

doi:10.1061/(asce)hy.1943-7900.0001221

Cited by 14 publications

(12 citation statements)

References 12 publications

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“…The compilation and threshold sites both represent samples of the global population of gravel rivers; however, the compilation provides a more complete picture of the variability within gravel rivers, while the threshold sites represent a smaller partial sample of the of the compilation's hydraulic geometry parameter space. The majority of the threshold field sites come from the study of Mueller et al (2005) with additional data compiled from the works of Recking (2010Recking ( , 2013, King et al (2004), and others (Andrews, 1994(Andrews, , 2000Andrews & Erman, 1986;Bunte, 1998;Erwin et al, 2011;Ferguson & Church, 2009;Hinton et al, 2017;Jones & Seitz, 1980;May et al, 2009;May & Pryor, 2013;McLean et al, 1999;Milhous, 1973;Mueller & Pitlick, 2014;Parker et al, 1982;Phillips & Jerolmack, 2014;Rankl & Smalley, 1992;Ryan et al, 2005;Ryan & Emmett, 2002;Smalley et al, 1994;Whitaker & Potts, 2007;Wilcock et al, 1996). The compilation data represent field measurements at bankfull conditions of slope (S), width (W, m), discharge (Q, m 3 /s), depth (H, m), and the median bed surface grain size (D 50 , m).…”

Section: Methodsmentioning

confidence: 99%

Bankfull Transport Capacity and the Threshold of Motion in Coarse‐Grained Rivers

Phillips

Jerolmack

2019

Water Resources Research

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The threshold stress for bed sediment transport exerts a primary control on the geometry and stability of coarse-grained rivers (diameter ≥ 5 mm). Understanding how riverbed mobility couples to channel form is a key mechanistic link for predicting river response to external perturbations such as land use practices and changing climate. Unfortunately, determination of a representative threshold stress is notoriously difficult in the field. Empirical studies have observed that the critical dimensionless shear (Shields) stress (τ *c ) is correlated with channel slope, a property that is substantially easier to estimate. Mechanistic models have been developed to explain the observed correlation; however, limited field data preclude the widespread application of these models. For practical reasons, the empirical regressions between slope and τ *c are utilized as predictive models. Through a large compilation of field data, we demonstrate that there are two significant problems with using the empirical regressions: (1) they are based on a partial sampling of the observed parameter space of coarse-grained rivers, and (2) they do not capture the covariation between the bankfull Shields stress (τ *bf ) and τ *c . These regressions provide spurious predictions for the bankfull transport capacity (τ *bf /τ *c ) of gravel-bed rivers. When site-specific empirical measurements of τ *c are made, coarse-grained rivers exhibit a remarkably constant transport capacity that is in close agreement with equilibrium channel theory (τ *bf = 1.2τ *c ). From these data we advocate that, in the absence of measurements, τ *c can be reasonably estimated from the τ *bf using equilibrium channel theory. Key Points:• In natural rivers critical Shields stress covaries with bankfull Shields stress in a manner predicted by theory • Empirical relations between slope and critical Shields stress are based on a partial sample of the known parameter space for gravel rivers • Predictions of changes in bankfull transport capacity based on the correlation between slope and the threshold of motion can be spurious

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Section: Methodsmentioning

confidence: 99%

Bankfull Transport Capacity and the Threshold of Motion in Coarse‐Grained Rivers

Phillips

Jerolmack

2019

Water Resources Research

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“…The coefficients and exponents of stream power equations representing bedload were derived from a database of 484 data sets containing over 15,000 measurements maintained by Brigham Young University [BYU data set (Hinton et al 2017)]. From this database, 74 data sets with a total of 5,634 measurements were identified to have adequate data necessary for this study.…”

Section: Data and Study Approachmentioning

confidence: 99%

Regime Channel Bedload Transport Equation

Braithwaite¹

2023

J. Hydraul. Eng.

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Numerous theories have been presented over the years for quantifying bedload transport in streams and rivers. These theories have been derived using physical processes, statistical methods, and semiempirical and empirical methods and rely on a variety of hydraulic, boundary, and bed material properties. Most of these equations represent instantaneous bedload transport related to temporal hydraulic and bed conditions and are not well-suited to estimate long-term average bedload over a broad range of channels. Using a pure empirical analysis, the author has developed a dimensionally homogeneous regime channel bedload transport equation not requiring bedload measurements for calibration or verification. The new equation was developed using 45 data sets and verified using 29 additional data sets encompassing a very broad range of channel conditions and was found to rely solely on stream power and bank-full stream power or, for practical applications, flow and bank-full flow. Statistical metrics indicated better performance by the new equation than by other bedload transport equations evaluated using the same source data and statistical methods.

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“…First, the necessary data are not easy to collect, being based on measured sediment data across a broad range of flows, requiring time and effort. Researchers recently compiled and continue to build a publicly available database which should help future research overcome the relative data scarcity (Hinton et al, 2017), and the Rosgen River Database is currently under development. Second, SRCs are sensitive to the data collection methodology (bed load traps, samplers, etc.).…”

Section: Sediment Transport Relationshipsmentioning

confidence: 99%

“…The study sites were selected based on availability of the input data needed to implement both ACD and NCD in the modified CSR tool, drawing from existing literature (Hinton et al, 2017(Hinton et al, , 2018Williams & Rosgen, 1989) and supplemented with additional data from the Rosgen River Database. While the CSR tool accommodates both flow records and pre-existing FDCs (e.g., estimated by hydrologic models), for purposes of this study, we limited potential sites to streams with United States Geological Survey (USGS) gage records.…”

Section: Study Reachesmentioning

confidence: 99%

Integrating channel design and assessment methods based on sediment transport capacity in gravel bed streams

Hall

Bledsoe

2023

J American Water Resour Assoc

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Stable channel design has historically dominated the fields of hydraulic engineering and fluvial geomorphology, guiding practitioners and policy makers alike, and underpinning stream interventions from roadway crossings (Lagasse et al., 2012;Richardson et al., 2001) to restoration efforts (e.g., Johnson et al., 2020;Shields et al., 2003). Here, we define a geomorphologically stable river as "one that has adjusted its width, depth, and slope such that there is no significant aggradation or degradation of the stream bed or significant planform changes (meandering to braided, etc.)

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Comprehensive and Quality-Controlled Bedload Transport Database

Cited by 14 publications

References 12 publications

Bankfull Transport Capacity and the Threshold of Motion in Coarse‐Grained Rivers

Bankfull Transport Capacity and the Threshold of Motion in Coarse‐Grained Rivers

Regime Channel Bedload Transport Equation

Integrating channel design and assessment methods based on sediment transport capacity in gravel bed streams

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