Channel network morphology and sediment dynamics under alternating periglacial and temperate regimes: a numerical simulation study

Bogaart, P.W.; Tucker, G. E.; Vries, J.J. de

doi:10.1016/s0169-555x(02)00360-4

Cited by 63 publications

(78 citation statements)

References 23 publications

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“…A logical hypothesis, supported by numerical modeling of changes between periglacial and temperate climates in Europe [e.g., Bogaart et al, 2003], is that under permafrost-dominated conditions, channel networks should extend across more of the landscape than under temperate conditions. This arises because the expansion of channelization under permafrost conditions would, in theory, stem from greater surface water runoff due to limited subsurface storage, which in turn results in greater soil erosion and hence larger channel networks.…”

Section: One Example Of Potential Changes: Drainage Network Response mentioning

confidence: 99%

Eos, Transactions, American Geophysical Union Volume 91, Number 26, 29 June 2010

2010

EoS Transactions

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Section: One Example Of Potential Changes: Drainage Network Response mentioning

confidence: 99%

Eos, Transactions, American Geophysical Union Volume 91, Number 26, 29 June 2010

2010

EoS Transactions

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“…Kirkby, 1986Kirkby, , 1987Willgoose et al, 1991aWillgoose et al, , 1991bWillgoose et al, , 1991cWillgoose et al, , 1992Willgoose et al, , 1994Chase, 1992;Beaumont et al, 1992Beaumont et al, , 2000Kooi & Beaumont, 1994Howard, 1994;Tucker and Slingerland, 1994Izumi & Parker, 1995;Johnson & Beaumont, 1995;Moglen & Bras, 1995;Braun & Sambridge, 1997;Tucker & Bras, 1998;Coulthard et al, 1999Coulthard et al, , 2002Ellis et al, 1999;Allen & Densmore, 2000;Crave & Davy, 2001;Tucker et al, 2001Bogaart et al, 2003a;Clevis et al, 2003Clevis et al, , 2004aClevis et al, , 2004bTucker, 2004). Although these various approaches differ in the way erosion and deposition are modelled, there are many similarities.…”

Section: Landscape Erosion Models and Evolution Of Drainage Systemsmentioning

confidence: 99%

Numerical Modelling of Alluvial Deposits: Recent Developments

Bridge

2008

Analogue and Numerical Modelling of Sedimentary Systems: From Understanding to Prediction

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Alluvial deposits occur over a range of superimposed scales, dependent on the scales of associated topographic features (such as ripples, dunes, bars, channels, floodplains, valleys, river systems), the time and spatial extent over which deposition occurred, and the degree of preservation. Understanding and prediction of alluvial deposits is aided by numerical (forward) modelling of depositional forms and processes. The most desirable approach to such numerical modelling is through solution of the fundamental equations of motion for the fluid and the sediment (e.g. conservation of mass, momentum and energy) for all of the scales of deposits. Construction of the equations of motion requires an understanding of the interactions among unsteady, non-uniform, turbulent water flow, the supplied and transported sediment, and the topography of the sediment bed. This understanding is very incomplete.Simplified numerical forward models have been applied to relatively short-term, small-scale processes such as bed degradation and armouring downstream of dams, reservoir sedimentation, and sorting of sediment (e.g. downstream fining) during deposition in spatially decelerating flows. However, such models are rarely applied over long time periods, over large spatial scales, and where there are complicated temporal and spatial variations in the geometry, water and sediment supply. This is because of limitations to computing facilities, and because of lack of understanding of the workings of the alluvial system. As a result, long-term, large-scale alluvial processes are commonly treated using 'process-imitating' models. Process-imitating models do not necessarily represent processes accurately or completely. This review of process-based models demonstrates that they are generally undeveloped, and linkages between models for different scales are lacking. Process-based modelling is in its infancy. As a result, structure-imitating stochastic models are widely used for simulating alluvial hydrocarbon reservoirs and aquifers, given some initial data. However, such models cannot help understanding of alluvial deposits, nor can they predict their nature outside the data region.

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“…Changes at a location, or cell on the landscape, are a function only of changes in the immediately surrounding cells. (The cellular model differs from the sediment-and water-routing schemes used by Tucker and Slingerland (1997), Howard (1999) and Bogaart et al (2003), and from the model used in this study.) They found that either an increase in rainfall magnitude or a decrease in vegetation cover alone could result in a 100 per cent or 25 per cent increase in sediment discharge respectively.…”

Section: Introductionmentioning

confidence: 96%

“…The network response between permafrost and non-permafrost conditions was explored by Bogaart et al (2003). Permafrost inhibits infiltration and leads to Hortonian runoff.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, during warm periods, rainfall infiltrates more readily into nonfrozen soils, and saturation-excess runoff occurs. Bogaart et al (2003) modelled alternating periods of permafrost and non-permafrost conditions by changing the runoff production mechanism in their model. They found that during temperate periods, when more water was transmitted through the sub-surface, the drainage density decreased.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Predictions of the Sensitivity of Grain Size and Channel Slope to an Increase in Precipitation

Gasparini

Bras

Tucker

2008

River Confluences, Tributaries and the Fluvial Network

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Channel network morphology and sediment dynamics under alternating periglacial and temperate regimes: a numerical simulation study

Cited by 63 publications

References 23 publications

Eos, Transactions, American Geophysical Union Volume 91, Number 26, 29 June 2010

Eos, Transactions, American Geophysical Union Volume 91, Number 26, 29 June 2010

Numerical Modelling of Alluvial Deposits: Recent Developments

Numerical Predictions of the Sensitivity of Grain Size and Channel Slope to an Increase in Precipitation

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