Dorrell, RM, Amy, LA, Peakall, J et al. (1 more author) (2018) Particle Size Distribution Controls the Threshold Between Net Sediment Erosion and Deposition in Suspended Load Dominated Flows. Geophysical Research Letters, 45 (3). pp. 1443-1452. ISSN 0094-8276
Abstract
The central problem of describing most environmental and industrial flows is predicting when material is entrained into, or deposited from, suspension. The threshold between erosional and depositional flow has previously been modeled in terms of the volumetric amount of material transported in suspension. Here a new model of the threshold is proposed, which incorporates (i) volumetric and particle size limits on a flow's ability to transport material in suspension, (ii) particle size distribution effects, and (iii) a new particle entrainment function, where erosion is defined in terms of the power used to lift mass from the bed. While current suspended load transport models commonly use a single characteristic particle size, the model developed herein demonstrates that particle size distribution is a critical control on the threshold between erosional and depositional flow. The new model offers an order of magnitude, or better, improvement in predicting the erosional‐depositional threshold and significantly outperforms existing particle‐laden flow models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018. American Geophysical Union. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | erosion-deposition; sediment transport; equilibrium flow |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Feb 2018 12:19 |
Last Modified: | 15 Aug 2018 00:38 |
Status: | Published |
Publisher: | AGU Publications |
Identification Number: | 10.1002/2017GL076489 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126903 |