Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Numerical Simulation of Unsteady Hyperconcentrated Sediment-Laden Flow in the Yellow River
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.
Numerical Simulation of Unsteady Hyperconcentrated Sediment-Laden Flow in the Yellow River
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.
Numerical Simulation of Unsteady Hyperconcentrated Sediment-Laden Flow in the Yellow River
He, Li (Autor:in) / Duan, Jennifer G. (Autor:in) / Wang, Guangqian (Autor:in) / Fu, Xudong (Autor:in)
Journal of Hydraulic Engineering ; 138 ; 958-969
30.03.2012
122012-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Numerical Simulation of Unsteady Hyperconcentrated Sediment-Laden Flow in the Yellow River
| British Library Online Contents | 2012
Numerical Simulation of Unsteady Hyperconcentrated Sediment-Laden Flow in the Yellow River
| Online Contents | 2012
Modeling of Hyperconcentrated Sediment-Laden Floods in Lower Yellow River
| Online Contents | 2004
Modeling of Hyperconcentrated Sediment-Laden Floods in Lower Yellow River
| British Library Online Contents | 2004
Characteristics of Hyperconcentrated Sediment-Laden Flows
| Online Contents | 2003