Assessment of total sediment load in rivers using lateral distribution method

Sung-Uk Choi, Jinhwi Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A new numerical model for predicting the total sediment load in the river is presented. The model is comprised of two parts, namely flow and sediment transport parts. The flow analysis is carried out using the lateral distribution method, which distributes the flow and sediment load across the width, based on channel geometry and flow dynamics. To obtain the total sediment load, the bedload and suspended load are predicted separately. Conventional formulas are used for the bedload, and Rousean distribution with an entrainment function is used for the suspended load. Einstein partition is used to separate the form drag component from the total shear stress. The model is applied to the Danube River, a gravel-bed river in Slovakia and the Han River, a sand-bed river in Korea. Predicted distributions of sediment load in the lateral direction are given. The predicted results are compared with those obtained using the 1D approach as well as from measured data. Total sediment load rating curves are presented and the mixture effect of bed-materials is discussed.

Original languageEnglish
Pages (from-to)381-387
Number of pages7
JournalJournal of Hydro-Environment Research
Volume9
Issue number3
DOIs
Publication statusPublished - 2015 Sep 1

Fingerprint

Sediments
Rivers
river
suspended load
sediment
river bed
bedload
rating curve
Sediment transport
Gravel
entrainment
drag
shear stress
Drag
sediment transport
Shear stress
Numerical models
gravel
Sand
method

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Environmental Chemistry
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

Cite this

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Assessment of total sediment load in rivers using lateral distribution method. / Choi, Sung-Uk; Lee, Jinhwi.

In: Journal of Hydro-Environment Research, Vol. 9, No. 3, 01.09.2015, p. 381-387.

Research output: Contribution to journalArticle

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