TY - JOUR
T1 - Well-balanced central WENO schemes for the sediment transport model in shallow water
AU - Qian, Shouguo
AU - Li, Gang
AU - Shao, Fengjing
AU - Niu, Qiang
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - Sediment transport model in shallow water admits steady-state solutions in which the non-zero flux gradient is exactly balanced by the source term. In this paper, we develop high-order well-balanced central weighted essentially non-oscillatory schemes for the sediment transport model. In order to maintain the well-balanced property, we first reformulate the governing equations by an equivalent form and propose a novel reconstruction procedure for the Runge-Kutta flux. Rigorous theoretical analysis as well as extensive numerical examples all suggest that the present schemes preserve the well-balanced property. Moreover, the resulting schemes keep genuine high-order accuracy for general solutions.
AB - Sediment transport model in shallow water admits steady-state solutions in which the non-zero flux gradient is exactly balanced by the source term. In this paper, we develop high-order well-balanced central weighted essentially non-oscillatory schemes for the sediment transport model. In order to maintain the well-balanced property, we first reformulate the governing equations by an equivalent form and propose a novel reconstruction procedure for the Runge-Kutta flux. Rigorous theoretical analysis as well as extensive numerical examples all suggest that the present schemes preserve the well-balanced property. Moreover, the resulting schemes keep genuine high-order accuracy for general solutions.
KW - Central weighted essentially non-oscillatory schemes
KW - Sediment transport model
KW - Source term
KW - Well-balanced property
UR - http://www.scopus.com/inward/record.url?scp=85045043244&partnerID=8YFLogxK
U2 - 10.1007/s10596-018-9724-x
DO - 10.1007/s10596-018-9724-x
M3 - Article
AN - SCOPUS:85045043244
SN - 1420-0597
VL - 22
SP - 763
EP - 773
JO - Computational Geosciences
JF - Computational Geosciences
IS - 3
ER -