Effects of smoothing and regridding in numerical meander migration models

Crosato, Alessandra

doi:10.1029/2006wr005087

Cited by 56 publications

(66 citation statements)

References 21 publications

(34 reference statements)

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“…Nevertheless, such threshold behaviour is appropriate, particularly on cohesive river banks. Any propagation of numerical error may, therefore, de facto require the erodibility coefficient (k d ) to be treated as a calibration parameter, a problem highlighted recently by Crosato (2007).…”

Section: Modelling Fluvial Erosionmentioning

confidence: 99%

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Rinaldi¹,

Darby²

2007

Developments in Earth Surface Processes

125

118

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This paper reviews recent developments in modelling the two main sets of bankerosion processes and mechanisms, namely fluvial erosion and mass failure, before suggesting an avenue for research to make further progress in the future. Our review of mass failure mechanisms reveals that the traditional use of limit equilibrium methods to analyse bank stability has in recent years been supplemented by research that has made progress in understanding and modelling the role of positive and negative pore water pressures, confining river pressures, and hydrograph characteristics. While understanding of both fluvial erosion and mass failure processes has improved in recent years, we identify a key limitation in that few studies have examined the nature of the interaction between these processes. We argue that such interactions are likely to be important in gravel-bed rivers and present new simulations in which fluvial erosion, pore water pressure, and limit equilibrium stability models are combined into a fully coupled analysis. The results suggest that existing conceptual models, which describe how bank materials are delivered to the fluvial sediment transfer system, may need to be revised to account for the unforeseen effects introduced by feedback between the interacting processes.

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Section: Modelling Fluvial Erosionmentioning

confidence: 99%

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Rinaldi¹,

Darby²

2007

Developments in Earth Surface Processes

125

118

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“…Rather, the time scale to migrate meander bends depends strongly on the erodibility of the banks (e.g., Camporeale et al, 2005;Crosato, 2007;Parker et al, 2011;Eke et al, 2014). Once the bank is eroded, a new scroll bar can form: the 'bank-pull' hypothesis.…”

Section: 'Loose' Time-scaling By Bend Migration Ratementioning

confidence: 99%

Swiftness of biomorphodynamics in Lilliput- to Giant-sized rivers and deltas

et al. 2015

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(2015) 'Swiftness of biomorphodynamics in Lilliput-to Giant-sized rivers and deltas. ', Geomorphology., Further information on publisher's website:http://dx.doi.org/10.1016/j.geomorph. 2015.04.022 Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in Geomorphology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reected in this document. Changes may have been made to this work since it was submitted for publication. A denitive version was subsequently published in Geomorphology, 244, 1 September 2015, 10.1016/j.geomorph.2015.04.022. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractPhysical experiments of self-formed river channels and floodplains with live vegetation are pathways for understanding that complement numerical modelling. Recent experiments succeeded in creating braided rivers and dynamic meandering systems with clastic and vegetated floodplains. However, application of the insights gained from such experiments to natural systems depends on understanding potential scale effects, temporal, and spatial. Here we combine review, analysis, and experiments to identify fundamental problems of biomorphological river pattern formation that are open for further research in experiments. We first show by review and analysis that physics-based, linear bar theory predicts negligible spatial scale effects in bar and bend wavelength relative to channel width. Time scaling, on the other hand, remains problematic because it integrates multiple processes of sediment transport, floodplain formation, and bank failure affected by bank stratigraphy and riparian vegetation. As a tentative solution, we secondly present experimental methods to assess bank strength effects that can be used in the design of river pattern experiments. The third issue is that riparian vegetation has often been represented in experiments by uniformly seeded sprouts of a single plant species, whilst spectacularly different patterns are obtained with contrasting seeding protocols, showing the need for other experimental procedures, and alternative riparian species. The main challenge for future experiments is better understanding of temporal scaling of biomorphodynamics.

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“…These are bulk parameters that include the effects of bank material, riparian vegetation (Wynn et al, 2004), pore water pressure (Dapporto et al, 2003;Rinaldi and Casagli, 1999), groundwater flow (van Balen et al, 2008) and numerical aspects such as the choice of how to compute the local channel curvature, numerical smoothing filters, and time and spatial steps (Crosato, 2007). For this reason, the migration coefficients can only be derived by means of model calibration based on the best fit of model predictions to historical channel centreline alignments.…”

Section: Methodsmentioning

confidence: 99%

“…A full model description is given by Crosato (1987Crosato ( , 2007Crosato ( , 2008Crosato ( , 2009). …”

Section: Water Managementmentioning

confidence: 99%

Variable input parameter influence on river corridor prediction

Zerfu¹,

Beevers²,

Crosato³

et al. 2015

Proceedings of the Institution of Civil Engineers - Water Manag

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This paper considers the erodible river corridor, which is the area in which the main river channel is free to migrate over a period of time. Due to growing anthropogenic pressure, predicting the corridor width has become increasingly important for the planning of development along rivers. Several approaches can be used to predict the future erodible corridor width but the results possess a large degree of uncertainty in all cases. The work presented here addresses prediction of the erodible corridor width of a reach of the River Irwell, UK, taking into account the uncertainty that arises from input parameters such as representative discharge, channel width, sediment and so on.The work adopts a probabilistic framework for assessment using Monte Carlo type simulations. Future river corridor width predictions, based on a model calibrated on past observations, are presented in a probabilistic manner using confidence levels. The results indicate the necessity of capturing input variability in the modelling process.Furthermore, the understanding gained from a relatively simple model used in a probabilistic framework is greater than a more complex one where only a few runs are feasible.

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Effects of smoothing and regridding in numerical meander migration models

Cited by 56 publications

References 21 publications

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

9 Modelling river-bank-erosion processes and mass failure mechanisms: progress towards fully coupled simulations

Swiftness of biomorphodynamics in Lilliput- to Giant-sized rivers and deltas

Variable input parameter influence on river corridor prediction

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