Coupled finite-volume model for 2D surface and 3D subsurface flows

被引:23
|
作者
He, Zhiguo [1 ]
Wu, Weiming [1 ]
Wang, Sam S. Y. [1 ]
机构
[1] Univ Mississippi, Natl Ctr Computat Hydrosci & Engn, University, MS 38677 USA
关键词
D O I
10.1061/(ASCE)1084-0699(2008)13:9(835)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Surface-subsurface interactions are an intrinsic component of the hydrologic response within a watershed; therefore, hydrologic modeling tools should consider these interactions to provide reliable predictions, especially during rainfall-runoff processes. This paper presents a fully implicit coupled model designed for hydrologic evaluation in wetlands, agricultural fields, etc. The model uses the depth-averaged two-dimensional (2D) diffusion wave equation for shallow surface water flow, and the three-dimensional (3D) mixed-form Richards equation for variably saturated subsurface flow. The interactions between surface and subsurface flows are considered via infiltration in dynamic equilibrium. A general framework for coupling the surface and subsurface flow equations is adopted, based on the continuity conditions of pressure head and exchange flux rather than the traditional conductance concept. The diffusion wave surface water equation is used as an upper boundary condition for the initial-boundary value problem of variably saturated subsurface flow. The coupled system of equations governing surface and subsurface flows is discretized using the finite-volume method in space and an implicit scheme in time. Component modules and the coupled flow model have been tested by comparing numerical results with published experimental data and analytical solutions. The verified integrated flow model has been applied to simulate the rainfall-runoff processes in a published field-scale experiment and the Deep Hollow Lake watershed, Mississippi. The results have demonstrated that the established numerical model is capable of simulating 3D subsurface flow and 2D surface shallow water flow as well as predicting the interactions between them.
引用
收藏
页码:835 / 845
页数:11
相关论文
共 50 条
  • [1] A 2D vertical model for simulating surface and subsurface flows using finite element-finite volume methods
    Farrokhpour, Leila
    Namin, Masoud Montazeri
    Eskandari-Ghadi, Morteza
    [J]. JOURNAL OF HYDROINFORMATICS, 2019, 21 (05) : 761 - 780
  • [2] A 3-D implicit finite-volume model of shallow water flows
    Wu, Weiming
    Lin, Qianru
    [J]. ADVANCES IN WATER RESOURCES, 2015, 83 : 263 - 276
  • [3] HIGH ORDER FINITE VOLUME SCHEMES FOR NUMERICAL SOLUTION OF 2D AND 3D TRANSONIC FLOWS
    Furmanek, Petr
    Fuerst, Jiri
    Kozel, Karel
    [J]. KYBERNETIKA, 2009, 45 (04) : 567 - 579
  • [4] A finite-volume version of Aizenman–Higuchi theorem for the 2d Ising model
    Loren Coquille
    Yvan Velenik
    [J]. Probability Theory and Related Fields, 2012, 153 : 25 - 44
  • [5] SURFACE-TENSION FROM FINITE-VOLUME VACUUM TUNNELING IN THE 3D ISING-MODEL
    MEYERORTMANNS, H
    TRAPPENBERG, T
    [J]. JOURNAL OF STATISTICAL PHYSICS, 1990, 58 (1-2) : 185 - 198
  • [6] Coupled simulations of 2D and 3D flows in a fishway system of river
    [J]. Lai, J.-S. (jslai525@ntu.edu.tw), 1600, Taiwan Agricultural Engineers Society (58):
  • [7] Finite-Volume Scheme for Multicomponent Compressible Flows on Unstructured Meshes in the Focus 3D Code
    Glazyrin, I., V
    Mikhailov, N. A.
    [J]. COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS, 2021, 61 (06) : 1015 - 1029
  • [8] Finite-Volume Scheme for Multicomponent Compressible Flows on Unstructured Meshes in the Focus 3D Code
    I. V. Glazyrin
    N. A. Mikhailov
    [J]. Computational Mathematics and Mathematical Physics, 2021, 61 : 1015 - 1029
  • [9] A finite-volume version of Aizenman-Higuchi theorem for the 2d Ising model
    Coquille, Loren
    Velenik, Yvan
    [J]. PROBABILITY THEORY AND RELATED FIELDS, 2012, 153 (1-2) : 25 - 44
  • [10] A finite volume model for coupling surface and subsurface flows
    Yuan, Bing
    Yuan, Dekui
    Sun, Jian
    Tao, Jianhua
    [J]. INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL MODELING AND SIMULATION, 2012, 31 : 62 - 67