Numerical solution of Richards' equation of water flow by generalized finite differences

被引:30
作者
Chavez-Negrete, C. [2 ]
Dominguez-Mota, F. J. [1 ]
Santana-Quinteros, D. [1 ]
机构
[1] Univ Michoacana, Fac Ciencias Fis Matemat, Morelia, Michoacan, Mexico
[2] Univ Michoacana, Fac Ingn Civil, Morelia, Michoacan, Mexico
关键词
Richards equation; Linearization schemes; Generalized finite differences; Iterative methods; Flow in porous media; POROUS-MEDIA; HYDRAULIC CONDUCTIVITY; CONSTITUTIVE MODEL; UNSATURATED FLOW; SUCTION; SOILS;
D O I
10.1016/j.compgeo.2018.05.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Richards equation is a degenerate elliptic parabolic nonlinear expression which models flow in unsaturated porous media. Due to its importance in engineering, a number of linearization schemes for approximating its solution have been proposed. Among the more efficient are combinations of Newtonian iterations for the spatial discretization using finite elements, and an implicit 0-method for the time integration. However, when the finite element formulation is used, numerical oscillations near the infiltration front are presented. To overcome this problem, this paper presents a novel generalized finite differences scheme and an adaptive step size Crank-Nicolson method, which can be applied for solving Richards' equation on nonrectangular structured grids. The proposed method is tested on an illustrative numerical example on a road embankment and the results are compared with a finite element method solution.
引用
收藏
页码:168 / 175
页数:8
相关论文
共 50 条
  • [41] An Exact Solution to the Linearized Richards Equation for Layered Media With Flexible Initial Condition
    Chen, Zhang-Long
    Huang, Yiyi
    Fang, Hongwei
    Yeh, Tian-Chyi Jim
    Zha, Yuanyuan
    WATER RESOURCES RESEARCH, 2023, 59 (09)
  • [42] Numerical solution of the Kirchhoff-transformed Richards equation for simulating variably saturated flow in heterogeneous layered porous media
    Suk, Heejun
    Park, Eungyu
    JOURNAL OF HYDROLOGY, 2019, 579
  • [43] On preconditioning for a parallel solution of the Richards equation
    Herbst, Michael
    Gottschalk, Swen
    Reigel, Martin
    Hardelauf, Horst
    Kasteel, Roy
    Javaux, Matthieu
    Vanderborght, Jan
    Vereecken, Harry
    COMPUTERS & GEOSCIENCES, 2008, 34 (12) : 1958 - 1963
  • [44] An Approximate Analytical Solution of Richards' Equation
    Chen, Xi
    Dai, Ying
    INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2015, 16 (05) : 239 - 247
  • [45] An open source massively parallel solver for Richards equation: Mechanistic modelling of water fluxes at the watershed scale
    Orgogozo, L.
    Renon, N.
    Soulaine, C.
    Henon, F.
    Tomer, S. K.
    Labat, D.
    Pokrovsky, O. S.
    Sekhar, M.
    Ababou, R.
    Quintard, M.
    COMPUTER PHYSICS COMMUNICATIONS, 2014, 185 (12) : 3358 - 3371
  • [46] Numerical modeling of one-dimensional variably saturated flow in a homogeneous and layered soil-water system via mixed form Richards equation with Picard iterative scheme
    Shah, Shailendra Singh
    Mathur, Shashi
    Chakma, Sumedha
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (02) : 2027 - 2037
  • [47] Upstream mobility finite volumes for the Richards equation in heterogenous domains
    Bassetto, Sabrina
    Cances, Clement
    Enchery, Guillaume
    Tran, Quang-Huy
    ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS, 2021, 55 (05) : 2101 - 2139
  • [48] Prediction of numerical homogenization using deep learning for the Richards equation
    Stepanov, Sergei
    Spiridonov, Denis
    Mai, Tina
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2023, 424
  • [49] Assessment of an efficient numerical solution of the 1D Richards' equation on bare soil
    Varado, N.
    Braud, I.
    Ross, P. J.
    Haverkamp, R.
    JOURNAL OF HYDROLOGY, 2006, 323 (1-4) : 244 - 257
  • [50] Numerical resolution of Richards equation by the RBF-MQ method
    Ouedraogo, P. O. Fabrice
    Sawadogo, W. Olivier
    So, Ousseni
    ANNALS OF THE UNIVERSITY OF CRAIOVA-MATHEMATICS AND COMPUTER SCIENCE SERIES, 2019, 46 (01): : 109 - 124