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The ENO polynomial interpolation procedure is also applied to represent the variable bottom elevation.
The developed scheme is then validated and classical shallow water equation problems on variable bottom topographies with wet and dry states are successfully solved.
In this paper, we consider a one-dimensional fully nonlinear weakly dispersive Green Naghdi model for shallow water waves over variable bottom topographies.
In this paper we propose a new well-balanced unstaggered central finite volume scheme for the shallow water equations on variable bottom topographies, with wet and dry states.
We propose a new numerical scheme based on the finite volumes to simulate the river flow in the presence of a variable bottom surface.
They describe the generation and propagation of internal solitary wave trains along the interface of an inviscid two-layer fluid over a variable bottom topography.
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This was especially true for the top ranked variables (bottom left corner).
A stepwise procedure with forward selection was used in building landscape- and plot-level models and models were then arranged hierarchically such that (a) predicted estimates of the landscape model were inputs to the plot-level model (top-down) and (b) significant landscape variables were added to selected plot level variables (bottom-up).
In certain cases, top or bottom values of a variable can be grouped and published as one value known as top/bottom recoding, respectively.
In the current study, the particle velocity change due to the gravitational force and variable river bottom is implemented explicitly in the flux evaluation.
The sensitivity analysis for the parameter importance shows that the dominant influence on the predictions of UCS and Es is exerted by the variables of bottom ash dosage and energy absorption capacity.
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