Bedload Layer Thickness and Disturbance Depth in Gravel Bed Streams

DeVries, Paul

doi:10.1061/(asce)0733-9429(2002)128:11(983)

Cited by 82 publications

(63 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The minimum ages from the deep bed samples for both the planebed and step-pool reaches exceed the date of the 100 year flood. These dates also support conclusions from previous work where sediment exchange limits for competent discharges approach twice the depth of the surface D 90 grain size (Wilcock and McArdell, 1997;DeVries, 2002). Minimum ages for the shallow samples from the planebed sites are similar, whereas, significant age differences are observed between the shallow samples for the pool section of the step-pool reach.…”

Section: Influence Of Bedformssupporting

confidence: 87%

“…More recent studies suggest that a change from Phase I to II occurs between 60-100% bankfull flow irrespective of channel type and boundary resistance (Ryan et al, 2005). Traditional methods of determining the degree of armour break up and depth of bed material flushing include the use of scour chains and monitors (Laronne et al, 1994;DeVries, 2002) and buried tracer particles (Wilcock et al, 1996b). These data have typically been collected from pool-riffle and plane-bed reaches and generally support the conclusions of flume studies, which suggest that once relatively high shear stresses are reached and armour is mobilised, flushing approaches a maximum depth of approximately twice the thickness of the armour layer (Wilcock and McArdell, 1997).…”

Section: Introductionmentioning

confidence: 99%

“…Olsen et al, 1997) and the vertical extent of flushing (e.g. DeVries, 2002). In cobble-and boulder-bed channels the threshold grain size relates to the size of the bedform stabilising grains (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The storage of bed material in mountain stream channels as assessed using Optically Stimulated Luminescence dating

2007

View full text Add to dashboard Cite

A detailed understanding of channel forming and maintenance processes in mountain streams requires some measurement and/ or prediction of bed load transport and sediment mobility. Traditional field based measurements of such processes are problematic because of the high formative discharges characteristic of such streams. The application of Optically Stimulated Luminescence (OSL) dating is proposed here as a new way of determining actual residency times of fine sediments and consequently validating selected predictions for the entrainment of sediment in these streams. Model predictions of sediment mobility for selected step-pool and plane-bed channels in a mountain catchment in south eastern Australia are initially calculated using equations of hydraulic competence and the one-dimensional HEC-RAS model. Results indicate that floods exceeding bankfull with recurrence intervals up to 13 years are competent to mobilise the maximum overlying surface grain sizes at both sites. OSL minimum age model results from 7 samples of well bleached quartz in the fine matrix particles indicate general agreement with selected competence equations. The apparent long (100-1400 y) burial age of most of the mineral quartz, however, suggests that competent flows are not able to flush all subsurface fine-bed material. The depth of maximum bed load exchange (flushing) was limited to ≤ twice the depth of the overlying D 90 grain size. Application of OSL in this study provides important insight into the nature of storage and flushing of matrix material in mountain streams.

show abstract

Section: Influence Of Bedformssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The storage of bed material in mountain stream channels as assessed using Optically Stimulated Luminescence dating

2007

View full text Add to dashboard Cite

show abstract

“…To demonstrate this sensitivity, we used the model to predict sediment transport velocities for the Ompompanoosuc River during early and mid-spring assuming first a sand fraction of 5 per cent and then a sand fraction of 15 per cent. We converted sediment flux predicted by the model to transport velocity by scaling the flux to particle size, or the depth of the bed load layer, assumed to be 2D 50 (DeVries, 2002) of the site directly below the dam. Hourly discharge records for the time period of interest were converted to flow depth for use in the model by regressions based on monthly cross-sectional measurements (Salant, 2005).…”

Section: Sediment Transport Velocitiesmentioning

confidence: 99%

The use of short‐lived radionuclides to quantify transitional bed material transport in a regulated river

Salant

Renshaw

Magilligan

et al. 2006

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

“…Differences between scour and fill patterns observed in various studies are likely due to the location, cause, and magnitude of scour and fill observed, including (in order of increasing magnitude): (1) uniform entrainment of the armour layer (thickness ¼ c. D 90 ) primarily from bedload movement (e.g. Wilcock et al, 1996;DeVries, 2002); (2) scour and fill due to stage-dependent variations of shear stress in pools and riffles (e.g. Keller, 1971;Lisle, 1979); (3) localized scour and fill from flow over and around channel obstructions (e.g.…”

Section: Introductionmentioning

confidence: 96%

Testing and improving predictions of scour and fill depths in a northern California coastal stream

Bigelow¹

2005

River Res. Applic.

View full text Add to dashboard Cite

Seasonal scour and fill from bankfull flows were measured in Freshwater Creek, a gravel-bed coastal stream of northern California, to test a previously developed approach predicting the reach-average and distribution of scour or fill depths based on Shields stress and the exponential function. Predictions of reach-average scour and fill depths were within 4-60% of measured depths. Three of the four predicted distributions of scour and fill depths were statistically different (p < 0.05) from measured distributions. Differences between predicted and measured values were likely due to scour and fill patterns in Freshwater Creek that were influenced by sediment supply and location within the channel network, channel form roughness, and possibly multiple peak flows. Consequently, the predictive approach may be better suited for individual peak flows on straight reaches that are in equilibrium between sediment supply and transport, and with form roughness similar to the creeks where the approach was developed. Improved predictions of scour and fill are possible with adjustments for aggrading reaches and form roughness.

show abstract

Bedload Layer Thickness and Disturbance Depth in Gravel Bed Streams

Cited by 82 publications

References 27 publications

The storage of bed material in mountain stream channels as assessed using Optically Stimulated Luminescence dating

The storage of bed material in mountain stream channels as assessed using Optically Stimulated Luminescence dating

The use of short‐lived radionuclides to quantify transitional bed material transport in a regulated river

Testing and improving predictions of scour and fill depths in a northern California coastal stream

Contact Info

Product

Resources

About