2021
DOI: 10.1016/j.cam.2021.113502
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Nonlinearity continuation method for steady-state groundwater flow modeling in variably saturated conditions

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Cited by 7 publications
(19 citation statements)
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“…A more powerful approach is the nonlinearity continuation method [13]. The relative permeability function K r (h), which makes the equation nonlinear, is parametrized with a continuation parameter q ∈ [0; 1] such that the resulting function, K(h, q), has the following properties:…”
Section: Nonlinearity Continuation Methods In Predictor-corrector Termsmentioning
confidence: 99%
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“…A more powerful approach is the nonlinearity continuation method [13]. The relative permeability function K r (h), which makes the equation nonlinear, is parametrized with a continuation parameter q ∈ [0; 1] such that the resulting function, K(h, q), has the following properties:…”
Section: Nonlinearity Continuation Methods In Predictor-corrector Termsmentioning
confidence: 99%
“…These are techniques for discretization of diffusion-type operators and have been employed in various applications such as simulation of groundwater flow or multiphase flow in porous media. While finite volume schemes have been already employed in earlier work [13,14], the mimetic scheme is considered for the first time within the nonlinearity continuation method and is included in order to test the solution strategy for discretization other than finite volume.…”
Section: Discretization Techniquesmentioning
confidence: 99%
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“…. (12) This definition means that water flow cannot have a downward direction (from surface to subsurface) when there is no water on the surface. Equation ( 12) is discontinuous with respect to both arguments for 0, 0 sg hh  .…”
Section: Surface Runoff Mathematical Modelmentioning
confidence: 99%
“…Recently, a large number of different highly efficient computational codes for groundwater modelling have appeared [6] [7][8] [9] and parallelization of different aspects of this process remains challenging [10], [11], [12], [13]. The GeRa software was developed taking into account the necessity of massive parallel calculations [14].…”
Section: Introductionmentioning
confidence: 99%