2014
DOI: 10.1016/j.cam.2014.03.010
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Solving the nonlinear Richards equation model with adaptive domain decomposition

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Cited by 19 publications
(16 citation statements)
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“…An alternative treatment of a nonlinear problem of this kind can be found in so-called dd-adaptivity (adaptive domain decomposition), as already presented by the authors in [1,2]. The following text will provide a deep explanation of the proposed algorithm, together with some new features that have recently been implemented -mainly the coarse level and subdomain overlap implementation.…”
Section: Motivation For the Adaptivity Algorithmmentioning
confidence: 97%
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“…An alternative treatment of a nonlinear problem of this kind can be found in so-called dd-adaptivity (adaptive domain decomposition), as already presented by the authors in [1,2]. The following text will provide a deep explanation of the proposed algorithm, together with some new features that have recently been implemented -mainly the coarse level and subdomain overlap implementation.…”
Section: Motivation For the Adaptivity Algorithmmentioning
confidence: 97%
“…An efficient method for splitting the solutions of nonlinear systems should therefore be time adaptive. Aspects of this problem have already been discussed in Kuraz et al ( , 2014, where the subdomain split resulted in a high number of subdomains. This paper extends our work in the following directions.…”
mentioning
confidence: 98%
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“…Water flow is governed by Richards' equations while constitutive laws are typically supplied by the van Genucthen model [2] Over the years, a lot of works have been done in the area of manufacturing and installation of automatic irrigation system but none has been seen in the area of development of a complete analytical model for a real-time automatic irrigation system. Consequently, to adequately design a real-time automatic irrigation system, an accurate analytical model is necessary to facilitate the simulation, prediction and control analysis of the system which largely depends on the development of accurate soil moisture content and plant water uptake models.…”
Section: Introductionmentioning
confidence: 99%