Numerical simulation of unsteady hyperconcentrated sediment-laden flow in the Yellow River

Li He, Jennifer G. Duan, Guangqian Wang, Xudong Fu

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

The major obstacles to simulating flood flow in the Yellow River are its high sediment concentration, complex compound cross section, and rapid change in channel planform. This paper presents an improved one-dimensional numerical model that takes into account the effect of sediment concentration and bed change on mass and momentum conservation of flood flow in the Yellow River. The model is calibrated and then validated by simulating three individual flood events. Results show that an increase in sediment concentration leads to a reduction in flood wave celerity and peak discharge. The generalized likelihood uncertainty estimation (GLUE) method is used to evaluate the uncertainty of modeling results. A sensitivity index, analogous to the Nash-Sutcliffe efficiency factor, is adopted to quantify the sensitivity of calibration parameters. The modeling results are sensitive to the choice of Manning's roughness coefficient and the empirical recovery coefficient for suspended sediment transport at reaches of transitional channel planform.

Original languageEnglish (US)
Pages (from-to)958-969
Number of pages12
JournalJournal of Hydraulic Engineering
Volume138
Issue number11
DOIs
StatePublished - Nov 1 2012

Keywords

  • Hyperconcentrated sediment-laden flow
  • Numerical simulation
  • One-dimensional model
  • Yellow river

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Mechanical Engineering

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