Two-Dimensional Hydrodynamic and Sediment Transport Modeling of the Lower Willamette River, Oregon

2007 ◽  
Author(s):  
Henry H. Hu ◽  
Raymond Walton ◽  
Eugene C. Revelas ◽  
John M. Hamrick
Keyword(s):  
Sediment Transport ◽  
Transport Modeling ◽  
Two Dimensional ◽  
Willamette River

scholarly journals HOW TIDES AND WAVES ENHANCE AEOLIAN SEDIMENT TRANSPORT AT THE SAND MOTOR MEGA NOURISHMENT

2018 ◽  
pp. 74
Author(s):  
Bas Haanhout ◽  
Arjen Luijendijk ◽  
Sierd De Vries
Keyword(s):  
Sediment Transport ◽  
Transport Modeling ◽  
Two Dimensional ◽  
Coastal Environments ◽  
Modeling Framework ◽  
Separate Model ◽  
Detailed Simulation ◽  
Waves And Currents ◽  
Sediment Sorting ◽  
Aeolian Sediment

In this paper we will present a two-dimensional application of the Windsurf modeling framework on the Sand Motor mega-nourishment in The Netherlands that allows for detailed simulation of the interaction between subtidal and subaerial processes. Expanding knowledge concerning the close entanglement between subtidal and subaerial processes in coastal environments initiated the development of the open-source Windsurf modeling framework that enables us to simulate multi-fraction sediment transport due to subtidal and subaerial processes simultaneously. The Windsurf framework couples separate model cores for subtidal morphodynamics related to waves and currents (Delft3D Flexible Mesh; Lesser et al., 2004) and storms (XBeach; Roelvink et al., 2009) and aeolian sediment transport (AeoLiS; Hoonhout et al., 2016). AeoLiS is a recent process-based model for supply-limited multifraction aeolian sediment transport that includes limiting effect of soil moisture, sediment sorting and beach armoring in aeolian sediment transport modeling.

scholarly journals Two-dimensional numerical modeling of chemical transport–transformation in fluvial rivers: formulation of equations and physical interpretation

2009 ◽  
Vol 11 (2) ◽  
pp. 106-118 ◽  
Author(s):  
Sui Liang Huang
Keyword(s):  
Sediment Transport ◽  
Chemical Transport ◽  
Transformation Model ◽  
Diffusion Equations ◽  
Desorption Kinetics ◽  
Two Dimensional ◽  
Transformation Equation ◽  
Governing Equations ◽  
Convection Diffusion ◽  
Kinetics Of

Based on previous work on the transport–transformation model of heavy metal pollutants in fluvial rivers, this paper presents the formulation of a two-dimensional model to describe chemical transport–transformation in fluvial rivers by considering basic principles of environmental chemistry, hydraulics and mechanics of sediment transport and recent developments along with three very simplified test cases. The model consists of water flow governing equations, sediment transport governing equations, transport–transformation equation of chemicals and convection–diffusion equations of sorption–desorption kinetics of particulate chemical concentrations on suspended load, bed load and bed sediment. The chemical transport–transformation equation is basically a mass balance equation. It demonstrates how sediment transport affects transport–transformation of chemicals in fluvial rivers. The convection–diffusion equations of sorption–desorption kinetics of chemicals, being an extension of batch reactor experimental results, take both physical transport, i.e. convection and diffusion, and chemical reactions, i.e. sorption–desorption into account. The effects of sediment transport on chemical transport–transformation were clarified through three simple examples. Specifically, the transport–transformation of chemicals in a steady, uniform and equilibrium sediment-laden flow was calculated by applying this model, and results were shown to be rational. Both theoretical analysis and numerical simulation indicated that the transport–transformation of chemicals in sediment-laden flows with a clay-enriched riverbed possesses not only the generality of common tracer pollutants, but also characteristics of transport–transformation induced by sediment motion. Future work will be conducted to present the validation/application of the model with available data.

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