New Finite Volume–Multiscale Finite-Element Model for Solving Solute Transport Problems in Porous Media
Publication: Journal of Hydrologic Engineering
Volume 26, Issue 3
Abstract
This paper proposes a finite volume–Yeh’s finite-element–multiscale finite-element model (FVYMSFEM) for solute transport simulations, which is extended from its elliptic groundwater-flow equation scheme. The primary goals of this method are to compute advection-dominated advection-dispersion equation with high accuracy and high efficiency and to obtain continuous dispersion velocity together with concentration. The finite volume integration scheme allows the FVYMSFEM to substantially reduce the numerical dispersion and ensures local mass conservation, thus to effectively deal with a high Peclet number in advection-dominated case. Meanwhile, due to the combination of the Crank-Nicolson format and finite volume scheme, the FVYMSFEM can achieve high accurate solutions with a large time step under advection-dominated condition, even with a high Courant number. Moreover, the FVYMSFEM introduces a novel dispersion velocity matrix to transform the concentration and continuous dispersion velocity into each other, thus to calculate them in once computation. The FVYMSFEM control volume boundary flux inherits the continuity of the dispersion velocity, which leads to higher solution accuracy. In addition, similar to the multiscale finite-element method (MSFEM), the FVYMSFEM can compute solutions in a coarse-scale grid without resolving all the fine-scale features, thus saving computational effort. Some results indicate that the FVYMSFEM is more accurate than the MSFEM and conventional linear basis function finite-element method (LFEM) in advection-dominated cases. Furthermore, the FVYMSFEM can achieve the same number of concentrations as the fine grid LFEM (LFEM-F) with close accuracy while saving more than 99.8% CPU time.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
Y. Xie acknowledges the financial support from the National Natural Science Foundation of China (No. 41702243) and the Fundamental Research Funds for the Central Universities (No. 2018B05114). C. Lu acknowledges the financial support from the National Key Research Project of China (2018YFC0407200), the Fundamental Research Funds for the Central Universities of China (B200204002), and the National Natural Science Foundation of China (51679067 and 51879088).
References
Abdulle, A. 2005. “Multiscale methods for advection-diffusion problems.” In Vol. 2005 of Proc., Conf. Publications, 11. San Francisco: American Institute of Mathematical Sciences.
Abdulle, A., and M. E. Huber. 2014. “Discontinuous Galerkin finite element heterogeneous multiscale method for advection-diffusion problems with multiple scales.” Numer. Math. 126 (4): 589–633. https://doi.org/10.1007/s00211-013-0578-9.
Ahmed, M. I., M. A. Abd-Elmegeed, and A. E. Hassan. 2019. “Modelling transport in fractured media using the fracture continuum approach.” Arabian J. Geosci. 12 (5): 172. https://doi.org/10.1007/s12517-019-4314-3.
Bear, J., and Y. Bachmat. 1990. Introduction to modeling of transport phenomena in porous media. Dordrecht, Netherlands: Kluwer Academic Publisher.
Bochev, P., K. Peterson, and M. Perego. 2015. “A multiscale control volume finite element method for advection-diffusion equations.” Int. J. Numer. Methods Fluids 77 (11): 641–667. https://doi.org/10.1002/fld.3998.
Boufadel, M. C., M. T. Suidan, and A. D. Venosa. 1999. “A numerical model for density-and-viscosity-dependent flows in two-dimensional variably saturated porous media.” J. Contam. Hydrol. 37 (1): 1–20. https://doi.org/10.1016/S0169-7722(98)00164-8.
Calo, V. M., E. T. Chung, Y. Efendiev, and W. T. Leung. 2016. “Multiscale stabilization for convection-dominated diffusion in heterogeneous media.” Comput. Methods Appl. Mech. Eng. 304 (Jun): 359–377. https://doi.org/10.1016/j.cma.2016.02.014.
Chaudhuri, S., and S. Ale. 2014. “Long term (1960–2010) trends in groundwater contamination and salinization in the Ogallala aquifer in Texas.” J. Hydrol. 513 (May): 376–390. https://doi.org/10.1016/j.jhydrol.2014.03.033.
Chen, Z. M., and T. Hou. 2003. “A mixed multiscale finite element method for elliptic problems with oscillating coefficients.” Math. Comput. 72 (242): 541–577. https://doi.org/10.1090/S0025-5718-02-01441-2.
Cheng, A., K. Wang, and H. Wang. 2010. “A preliminary study on multiscale ELLAM schemes for transient advection-diffusion equations.” Numer. Methods Partial Differ. Equations 26 (6): 1405–1419. https://doi.org/10.1002/num.20496.
Chung, E. T., Y. Efendiev, and T. Y. Hou. 2016a. “Adaptive multiscale model reduction with generalized multiscale finite element methods.” J. Comput. Phys. 320 (Sep): 69–95. https://doi.org/10.1016/j.jcp.2016.04.054.
Chung, E. T., Y. Efendiev, and C. S. Lee. 2015. “Mixed generalized multiscale finite element methods and applications.” Multiscale Model. Simul. 13 (1): 338–366. https://doi.org/10.1137/140970574.
Chung, E. T., Y. Efendiev, and W. T. Leung. 2019. “Generalized multiscale finite element methods with energy minimizing oversampling.” Int. J. Numer. Methods Eng. 117 (3): 316–343. https://doi.org/10.1002/nme.5958.
Chung, E. T., Y. Efendiev, W. T. Leung, and G. L. Li. 2016b. “Sparse generalized multiscale finite element methods and their applications.” Int. J. Multiscale Comput. 14 (1): 1–23.
Degond, P., A. Lozinski, B. P. Muljadi, and J. Narski. 2015. “Crouzeix-Raviart MsFEM with bubble functions for diffusion and advection-diffusion in perforated media.” Commun. Comput. Phys. 17 (4): 887–907. https://doi.org/10.4208/cicp.2014.m299.
Dehkordi, M. M., and M. T. Manzari. 2013. “Effects of using altered coarse grids on the implementation and computational cost of the multiscale finite volume method.” Adv. Water Resour. 59 (11): 221–237. https://doi.org/10.1016/j.advwatres.2013.07.003.
Efendiev, Y., J. Galvis, and T. Y. Hou. 2013. “Generalized multiscale finite element methods (GMsFEM)” J. Comput. Phys. 251 (Oct): 116–135. https://doi.org/10.1016/j.jcp.2013.04.045.
Feistauer, M., J. Felcman, M. Lukácová-Medvid’ová, and G. Warnecke. 1999. “Error estimates for a combined finite volume–finite element method for nonlinear convection–diffusion problems.” SIAM J. Numer. Anal. 36 (5): 1528–1548. https://doi.org/10.1137/S0036142997314695.
Hajibeygi, H., D. Karvounis, and P. Jenny. 2011. “A hierarchical fracture model for the iterative multiscale finite volume method.” J. Comput. Phys. 230 (24): 8729–8743. https://doi.org/10.1016/j.jcp.2011.08.021.
Hassan, A. E., J. H. Cushman, and J. W. Delleur. 1997. “Monte Carlo studies of flow and transport in fractal conductivity fields: Comparison with stochastic perturbation theory.” Water Resour. Res. 33 (11): 2519–2534. https://doi.org/10.1029/97WR02170.
He, X. G., and L. Ren. 2005. “Finite volume multiscale finite element method for solving the groundwater flow problems in heterogeneous porous media.” Water Resour. Res. 41 (10): W10417. https://doi.org/10.1029/2004WR003934.
Hou, T. Y., and D. Liang. 2009. “Multiscale analysis for convection dominated transport equations.” Discrete Contin. Dyn. Syst.-A 23 (1–2): 281–298. https://doi.org/10.3934/dcds.2009.23.281.
Hou, T. Y., and X. H. Wu. 1997. “A multiscale finite element method for elliptic problems in composite materials and porous media.” J. Comput. Phys. 134 (1): 169–189. https://doi.org/10.1006/jcph.1997.5682.
Hughes, T. J., G. R. Feijóo, L. Mazzei, and J. B. Quincy. 1998. “The variational multiscale method-a paradigm for computational mechanics.” Comput. Methods Appl. Mech. Eng. 166 (1–2): 3–24. https://doi.org/10.1016/S0045-7825(98)00079-6.
Hughes, T. J., and G. Sangalli. 2007. “Variational multiscale analysis: The fine-scale Green’s function, projection, optimization, localization, and stabilized methods.” SIAM J. Numer. Anal. 45 (2): 539–557. https://doi.org/10.1137/050645646.
Jang, W., and M. M. Aral. 2007. “Density-driven transport of volatile organic compounds and its impact on contaminated groundwater plume evolution.” Transp. Porous Media 67 (3): 353–374. https://doi.org/10.1007/s11242-006-9029-8.
Jenny, P., S. H. Lee, and H. A. Tchelepi. 2003. “Multi-scale finite-volume method for elliptic problems in subsurface flow simulation.” J. Comput. Phys. 187 (1): 47–67. https://doi.org/10.1016/S0021-9991(03)00075-5.
Künze, R., and I. Lunati. 2012. “An adaptive multiscale method for density-driven instabilities.” J. Comput. Phys. 231 (17): 5557–5570. https://doi.org/10.1016/j.jcp.2012.02.025.
Labolle, E. M., G. E. Fogg, and A. F. Tompson. 1996. “Random-walk simulation of transport in heterogeneous porous media: Local mass-conservation problem and implementation methods.” Water Resour. Res. 32 (3): 583–593. https://doi.org/10.1029/95WR03528.
Le Bris, C., F. Legoll, and F. Madiot. 2017. “A numerical comparison of some multiscale finite element approaches for advection-dominated problems in heterogeneous media.” Math. Model. Numer. Anal. 51 (3): 851–888. https://doi.org/10.1051/m2an/2016057.
Le Bris, C., F. Legoll, and F. Madiot. 2019. “Multiscale finite element methods for advection-dominated problems in perforated domains.” Math. Model. Simul. 17 (2): 773–825. https://doi.org/10.1137/17M1152048.
Lee, B., M. Kang, and S. Kim. 2017. “An essentially non-oscillatory Crank-Nicolson procedure for the simulation of convection-dominated flows.” J. Sci. Comput. 71 (2): 875–895. https://doi.org/10.1007/s10915-016-0324-4.
Luo, Y., S. J. Ye, J. C. Wu, H. M. Wang, and X. Jiao. 2016. “A modified inverse procedure for calibrating parameters in a land subsidence model and its field application in Shanghai, China.” Hydrogeol. J. 24 (3): 711–725. https://doi.org/10.1007/s10040-016-1381-3.
Massoudieh, A. 2013. “Inference of long-term groundwater flow transience using environmental tracers: A theoretical approach.” Water Resour. Res. 49 (12): 8039–8052. https://doi.org/10.1002/2013WR014548.
Neuman, S. P. 1984. “Adaptive Eulerian-Lagrangian finite element method for advection-dispersion.” Int. J. Numer. Methods Eng. 20 (2): 321–337. https://doi.org/10.1002/nme.1620200211.
Ortiz-Zamora, D., and A. Ortega-Guerrero. 2010. “Evolution of long-term land subsidence near Mexico City: Review, field investigations, and predictive simulations.” Water Resour. Res. 46 (1): W01513. https://doi.org/10.1029/2008WR007398.
Park, C. H., and M. M. Aral. 2007. “Sensitivity of the solution of the Elder problem to density, velocity and numerical perturbations.” J. Contam. Hydrol. 92 (1): 33–49. https://doi.org/10.1016/j.jconhyd.2006.11.008.
Simon, K., and J. Behrens. 2018. “Multiscale finite elements through advection-induced coordinates for transient advection-diffusion equations.” Preprint, submitted February 21, 2018. http://arxiv.org/abs/1802.07684.
Wang, H., Y. Ding, K. Wang, R. E. Ewing, and Y. R. Efendiev. 2009. “A multiscale Eulerian-Lagrangian localized adjoint method for transient advection-diffusion equations with oscillatory coefficients.” Comput. Visualization Sci. 12 (2): 63–70. https://doi.org/10.1007/s00791-007-0078-5.
Wei, T., and M. T. Xu. 2016. “An integral equation approach to the unsteady convection-diffusion equations.” Appl. Math. Comput. 274 (2016): 55–64. https://doi.org/10.1016/j.amc.2015.10.084.
Xie, Y. F., C. H. Lu, Y. Q. Xue, Y. Ye, C. H. Xie, H. F. Ji, and J. C. Wu. 2019. “New finite volume multiscale finite element model for simultaneously solving groundwater flow and Darcian velocity fields in porous media.” J. Hydrol. 573 (Jun): 592–606. https://doi.org/10.1016/j.jhydrol.2019.04.004.
Xie, Y. F., J. C. Wu, T. C. Nan, Y. Q. Xue, C. H. Xie, and H. F. Ji. 2017. “Efficient triple-grid multiscale finite element method for 3D groundwater flow simulation in heterogeneous porous media.” J. Hydrol. 546 (2): 503–514. https://doi.org/10.1016/j.jhydrol.2017.01.027.
Xie, Y. F., J. C. Wu, Y. Q. Xue, and C. H. Xie. 2016. “Efficient triple-grid multiscale finite element method for solving groundwater flow problems in heterogeneous porous media.” Transp. Porous Media 112 (2): 361–380. https://doi.org/10.1007/s11242-016-0650-x.
Xu, T., and J. J. Gomezhernandez. 2018. “Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter.” Adv. Water Resour. 112 (Feb): 106–123. https://doi.org/10.1016/j.advwatres.2017.12.011.
Xue, Y. Q., and C. H. Xie. 2007. Numerical simulation for groundwater. [In Chinese.] Beijing: Science Press.
Yang, M., and Y. Yuan. 2007. “A symmetric characteristic FVE method with second order accuracy for nonlinear convection diffusion problems.” J. Comput. Appl. Math. 200 (2): 677–700. https://doi.org/10.1016/j.cam.2006.01.020.
Ye, S. J., Y. Q. Xue, and C. H. Xie. 2004. “Application of the multiscale finite element method to flow in heterogeneous porous media.” Water Resour. Res. 40 (9): W09202. https://doi.org/10.1029/2003WR002914.
Yeh, G. T. 1981. “On the computation of Darcian velocity and mass balance in the finite element modeling of groundwater flow.” Water Resour. Res. 17 (5): 1529–1534. https://doi.org/10.1029/WR017i005p01529.
Yu, T., P. Ouyang, and H. Cao. 2018. “Error estimates for the heterogeneous multiscale finite volume method of convection-diffusion-reaction problem.” Complexity 2018: 1–6. https://doi.org/10.1155/2018/2927080.
Zhang, Z. H., Y. Q. Xue, and J. C. Wu. 1994. “A cubic-spline technique to calculate nodal Darcian velocities in aquifers.” Water Resour. Res. 30 (4): 975–981. https://doi.org/10.1029/93WR03416.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Apr 6, 2020
Accepted: Oct 9, 2020
Published online: Jan 7, 2021
Published in print: Mar 1, 2021
Discussion open until: Jun 7, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.