An Upwind Weak Galerkin Finite Element Method for the Two‐Dimensional Unsaturated Soil Water Flow Problem

ABSTRACT In this paper, a novel upwind weak Galerkin (WG) finite element method is proposed to solve the two‐dimensional unsaturated soil water flow problem. The proposed numerical scheme combines the classical weak Galerkin finite element method with an upwind stabilization technique to enhance the stability of the numerical solution. The well‐posedness of the numerical scheme is established, and optimal error estimates are derived in the energy norm and the norm. Numerical experiments are conducted to verify the theoretical analysis and demonstrate the efficiency of the proposed method.

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Publication Details

Journal
Numerical Methods for Partial Differential Equations
Published
2026-02-24
DOI
https://doi.org/10.1002/num.70084
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

An Upwind Weak Galerkin Finite Element Method for the Two‐Dimensional Unsaturated Soil Water Flow Problem

Ming Cui, Yong Li, Fan Chen, Tian Tian
Numerical Methods for Partial Differential Equations
Advanced Numerical Methods in Computational Mathematics
article

An Upwind Weak Galerkin Finite Element Method for the Two‐Dimensional Unsaturated Soil Water Flow Problem

Ming Cui, Yong Li, Fan Chen, Tian Tian
article en

Abstract

ABSTRACT In this paper, a novel upwind weak Galerkin (WG) finite element method is proposed to solve the two‐dimensional unsaturated soil water flow problem. The proposed numerical scheme combines the classical weak Galerkin finite element method with an upwind stabilization technique to enhance the stability of the numerical solution. The well‐posedness of the numerical scheme is established, and optimal error estimates are derived in the energy norm and the norm. Numerical experiments are conducted to verify the theoretical analysis and demonstrate the efficiency of the proposed method.

Numerical Methods for Partial Differential EquationsVol. 42(2)
Wuhan University (CN), Beijing University of Technology (CN)
Openalex Percentile: Top 27%
Advanced Numerical Methods in Computational Mathematics
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