A depth-averaged non-cohesive sediment transport model with improved discretization of flux and source terms

Zhao, Jiaheng; Özgen-Xian, Ilhan; Liang, Dongfang; Wang, Tian; Hinkelmann, Reinhard

doi:10.1016/j.jhydrol.2018.12.059

Title: A depth-averaged non-cohesive sediment transport model with improved discretization of flux and source terms

Journal Article · 13 January 2019 · Journal of Hydrology

DOI: https://doi.org/10.1016/j.jhydrol.2018.12.059 · OSTI ID:1580381

Zhao, Jiaheng ^[1]; Özgen-Xian, Ilhan ^[2]; Liang, Dongfang ^[3]; Wang, Tian ^[4]; Hinkelmann, Reinhard ^[1]

Technische Univ. Berlin (Germany)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Geosciences Division
Univ. of Cambridge, Cambridge (United Kingdom)
Technische Univ. Berlin (Germany); Xi’an Univ. of Technology, Xi’an (China)

Here, this paper presents novel flux and source term treatments within a Godunov-type finite volume framework for predicting the depth-averaged shallow water flow and sediment transport with enhanced the accuracy and stability. The suspended load ratio is introduced to differentiate between the advection of the suspended load and the advection of water. A modified Harten, Lax and van Leer Riemann solver with the contact wave restored (HLLC) is derived for the flux calculation based on the new wave pattern involving the suspended load ratio. The source term calculation is enhanced by means of a novel splitting-point implicit discretization. The slope effect is introduced by modifying the critical shear stress, with two treatments being discussed. The numerical scheme is tested in five examples that comprise both fixed and movable beds. The model predictions show good agreement with measurement, except for cases where local three-dimensional effects dominate.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); China Scholarship Council; Technische Univ. Berlin

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1580381

Journal Information:: Journal of Hydrology, Journal Name: Journal of Hydrology Journal Issue: C Vol. 570; ISSN 0022-1694

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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