2017
DOI: 10.1016/j.advwatres.2017.03.015
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Second-order accurate finite volume schemes with the discrete maximum principle for solving Richards’ equation on unstructured meshes

Abstract: Richards's equation describes steady-state or transient flow in a variably saturated medium. For a medium having multiple layers of soils that are not aligned with coordinate axes, a mesh fitted to these layers is no longer orthogonal and the classical two-point flux approximation finite volume scheme is no longer accurate. We propose new secondorder accurate nonlinear finite volume (NFV) schemes for the head and pressure formulations of Richards' equation. We prove that the discrete maximum principles hold fo… Show more

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Cited by 18 publications
(12 citation statements)
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“…Many approaches are available to discretize the spatial derivatives in RRE (Bergamaschi & Putti, ; Farthing, Kees, & Miller, ), such as finite element method (Simunek et al, ), finite difference method (Dogan & Motz, ), finite volume method (Caviedes‐Voullième, Garcı´a‐Navarro, & Murillo, ; Svyatskiy & Lipnikov, ), finite analytical method (Zhang et al, ), etc. Under atmospheric boundary conditions (i.e., combinations of sinusoidal flux), the magnitudes of the hydraulic gradient, as well as vertical flux variations, generally dampen from the soil surface to deep soils (Bakker & Nieber, ; Dickinson et al, ).…”
Section: Spatial and Temporal Discretizationmentioning
confidence: 99%
“…Many approaches are available to discretize the spatial derivatives in RRE (Bergamaschi & Putti, ; Farthing, Kees, & Miller, ), such as finite element method (Simunek et al, ), finite difference method (Dogan & Motz, ), finite volume method (Caviedes‐Voullième, Garcı´a‐Navarro, & Murillo, ; Svyatskiy & Lipnikov, ), finite analytical method (Zhang et al, ), etc. Under atmospheric boundary conditions (i.e., combinations of sinusoidal flux), the magnitudes of the hydraulic gradient, as well as vertical flux variations, generally dampen from the soil surface to deep soils (Bakker & Nieber, ; Dickinson et al, ).…”
Section: Spatial and Temporal Discretizationmentioning
confidence: 99%
“…Numerical tests were performed for a grid with a constant spatial length ∆x = ∆y = 0.025 m. The analytical solution was compared with the results obtained using dimensional splitting algorithms in the form of the Godunov method (G), Equations (11)- (12); the Strang method (S), Equations (14)- (16); and the modified Strang method (mS), Equations (22)- (26). The calculations were carried out for two variants, depending on the sequence in which the 1D equations are solved at each time level.…”
Section: Test 1-simulation Of Infiltration Using the Gardner Modelmentioning
confidence: 99%
“…Hydraulic parameters of the soil and numerical parameters used in Test 2. For each soil, the computations were performed using the Godunov method (G), Equations (11)- (12); the Strang method (S), Equations (14)- (16); and the alternate modified method (mod), Equations (29)- (35). As in the previous test, the simulations were carried out for two variants of a sequence of splitting (ZX or XZ) in which 1D equations are solved.…”
Section: Test 2-simulation Of Infiltration Using the Mualem-van Genucmentioning
confidence: 99%
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“…Dolejší et al (2019) proposed an adaptive higher-order space-time discontinuous-Galerkin (hp-STDG) method to obtain highly efficient and accurate solutions to the RE. Svyatskiy and Lipnikov (2017) proposed a second-order-accurate finite volume scheme that solves the RE using high-order upwind algorithms for the relative permeability. Additionally, other advanced numerical methods for solving variable saturated flow problems exhibit high levels of accuracy, computational efficiency, or ease of implementation under certain conditions.…”
Section: Introductionmentioning
confidence: 99%