2008
DOI: 10.1016/j.cma.2008.06.005
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Locally conservative, stabilized finite element methods for variably saturated flow

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Cited by 50 publications
(28 citation statements)
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“…[6] and [7] are only intended to provide some context for the following discussion, and we have neglected any details of the solution approximation or evaluation of the integrals in Eq. [6] and [7] (Kees et al, 2008).…”
Section: Spatial Discretizationmentioning
confidence: 99%
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“…[6] and [7] are only intended to provide some context for the following discussion, and we have neglected any details of the solution approximation or evaluation of the integrals in Eq. [6] and [7] (Kees et al, 2008).…”
Section: Spatial Discretizationmentioning
confidence: 99%
“…As a result, cell-centered finite differences and low-order finite volumes/ integrated finite differences, and piecewise linear, continuous Galerkin finite element schemes remain the dominant schemes used in practice (Selker and John, 2004;Kollet and Maxwell, 2006;Yeh et al, 2011;Diersch, 2013). We note that post-processing is increasingly being used in conjunction with continuous Galerkin methods to provide velocity fields that are locally conservative over elemental control volumes (Larson and Niklasson, 2004;Sun and Wheeler, 2006;Kees et al, 2008;Scudeler et al, 2016).…”
Section: Spatial Discretizationmentioning
confidence: 99%
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“…For the case of saturated-unsaturated flow, we mention the contributions of Forsyth et al (1995), Pan and Wierenga (1995), Diersch and Perrochet (1999), Berganaschi and Putti (1999), Wiliams et al (2000), Lima-Vivancos and Voller (2004), Bause and Knabner (2004), Hao et al (2005), Marinoschi (2005), Basombrio et al (2006), McBride et al (2006), Pei et al (2006), Kees et al (2008), Bevilacqua et al (2009), Casulli and Zanolli (2010), Radu et al (2010), and Wu (2010). For 2D and 3D problems, the standard numerical approach consists of: -space discretization by finite volume, finite element (Galerkin), mixed finite element, finite differences; -method of lines for time discretization; -solution of the discrete nonlinear problems using Newton/Picard method; -solution of the linear problems by iterative linear solvers (preconditioned conjugated gradient, preconditioned Krylov subspace methods, algebraic multigrid, and so on).…”
mentioning
confidence: 99%
“…A variety of methods for numerical treatment of the Richards equation (or, in general, convection-diffusion-reaction systems) have been published in recent times, see e.g. Kees et al [7], Sembera et al [8], Solin and Kuraz [9], Tocci et al [11], Miller et al [12] and Kuraz et al [13,14].…”
mentioning
confidence: 99%