Predicting Coarse Sediment Transport from Patchy Beds in Ephemeral Channels

Abstract

Seven 1-D sediment transport formulae are employed to predict coarse sediment transport in a low-order, ephemeral channel with patchy bed material. Sediment transport is modeled through two different methods to characterize sediment supply: by using a channelaveraged grain-size distribution (GSD) and by using the mean GSDs from the relatively coarse and fine textured patches that compose the channel bed. Modeling results show that the two different characterizations of the sediment supply produce significantly different values of predicted coarse sediment yield. The relative differences in the predicted yield values are dependent on the assumptions of each formula, including how the sediment supply is parameterized within the model. Modeled sediment yield values are contrasted to observed values for seven flash flood-type runoff events. The formulae accuracies typically are comparable to past analyses in fluvial systems more reminiscent of the hydraulic environments in which the models were derived (perennial flow, gravel-bed material). Study results reaffirm that the method by which sediment supply is characterized significantly impacts the performance of sediment transport formulae and that a single GSD might not adequately describe the sediment supply originating from patchy beds.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2012
Accession Number
ADA559289

Entities

People

  • Brendan T. Yuill

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Civil Engineering
  • Engineering
  • Engineers
  • Environment
  • Equations
  • Floods
  • Fluid Mechanics
  • Geography
  • Geometry
  • Grain Size
  • Materials
  • Mechanics
  • Sedimentation
  • Shear Stresses
  • Surveys
  • Water Resources

Readers

  • Aerosol Science/Aerosol Physics
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation