ORIGINAL PAPERS

Second-Order Accurate Structure-Preserving Scheme for Solute Transport on Polygonal Meshes

Expand
  • 1 Department of Mathematics, Oregon State University, Kidder Hall 368, Corvallis, OR 97331, USA;
    2 Los Alamos National Laboratory, Theoretical Division, MS B284, Los Alamos, NM 87545, USA

Received date: 2022-12-03

  Revised date: 2023-05-13

  Accepted date: 2023-05-15

  Online published: 2024-12-20

Supported by

This work was carried out under the auspices of the National Nuclear Security Administration of the U.S. Department of Energy at Los Alamos National Laboratory under Contract No. DE-AC52-06NA25396. The Los Alamos unlimited release number is LA-UR-22-30864.

Abstract

We analyze mimetic properties of a conservative finite-volume (FV) scheme on polygonal meshes used for modeling solute transport on a surface with variable elevation. Polygonal meshes not only provide enormous mesh generation flexibility, but also tend to improve stability properties of numerical schemes and reduce bias towards any particular mesh direction. The mathematical model is given by a system of weakly coupled shallow water and linear transport equations. The equations are discretized using different explicit cellcentered FV schemes for flow and transport subsystems with different time steps. The discrete shallow water scheme is well balanced and preserves the positivity of the water depth. We provide a rigorous estimate of a stable time step for the shallow water and transport scheme and prove a bounds-preserving property of the solute concentration. The scheme is second-order accurate over fully wet regions and first-order accurate over partially wet or dry regions. Theoretical results are verified with numerical experiments on rectangular, triangular, and polygonal meshes.

Cite this article

Naren Vohra, Konstantin Lipnikov, Svetlana Tokareva . Second-Order Accurate Structure-Preserving Scheme for Solute Transport on Polygonal Meshes[J]. Communications on Applied Mathematics and Computation, 2024 , 6(3) : 1600 -1628 . DOI: 10.1007/s42967-023-00289-3

References

1. Audusse, E., Bouchut, F., Bristeau, M.-O., Klein, R., Perthame, B.: A fast and stable well-balanced scheme with hydrostatic reconstruction for shallow water flows. SIAM J. Sci. Comput. 25, 2050–2065 (2004). https:// doi. org/ 10. 1137/ S1064 82750 34310 90
2. Barth, T., Jespersen, D.: The design and application of upwind schemes on unstructured meshes. In: 27th Aerospace Sciences Meeting (1989). https:// doi. org/ 10. 2514/6. 1989- 366
3. Beljadid, A., Mohammadian, A., Kurganov, A.: Well-balanced positivity preserving cell-vertex central-upwind scheme for shallow water flows. Comput. Fluids 136, 193–206 (2016). https:// doi. org/ 10. 1016/j. compfluid. 2016. 06. 005
4. Berthon, C., Foucher, F.: Efficient well-balanced hydrostatic upwind schemes for shallow-water equations. J. Comput. Phys. 231(15), 4993–5015 (2012). https:// doi. org/ 10. 1016/j. jcp. 2012. 02. 031
5. Bollermann, A., Chen, G., Kurganov, A., Noelle, S.: A well-balanced reconstruction of wet/dry fronts for the shallow water equations. J. Sci. Comput. 56, 267–290 (2013). https:// doi. org/ 10. 1007/ s10915- 012- 9677-5
6. Bollermann, A., Noelle, S., Lukacova-Medvidova, M.: Finite volume evolution Galerkin methods for the shallow water equations with dry beds. Commun. Comput. Phys. 10, 371–404 (2011). https:// doi. org/ 10. 4208/ cicp. 220210. 02071 0a
7. Bryson, S., Epshteyn, Y., Kurganov, A., Petrova, G.: Well-balanced positivity preserving centralupwind scheme on triangular grids for the Saint-Venant system. ESAIM Math. Model. Numer. Anal. 45, 423–446 (2011). https:// doi. org/ 10. 1051/ m2an/ 20100 60
8. Castro Díaz, M. J., Kurganov, A., Morales de Luna, T.: Path-conservative central-upwind schemes for nonconservative hyperbolic systems. ESAIM: M2AN 53(3), 959–985 (2019). https:// doi. org/ 10. 1051/ m2an/ 20180 77
9. Castro, M. J., Morales de Luna, T., Parés, C.: Chapter 6 - Well-balanced schemes and path-conservative numerical methods. In: Abgrall, R., Shu, C.-W. (eds) Handbook of Numerical Methods for Hyperbolic Problems: Applied and Modern Issues, Volume XVIII of Handbook of Numerical Analysis, pp. 131–175. Elsevier (2017). https:// doi. org/ 10. 1016/ bs. hna. 2016. 10. 002
10. Chertock, A., Cui, S., Kurganov, A., Wu, T.: Well-balanced positivity preserving central-upwind scheme for the shallow water system with friction terms. Int. J. Numer. Methods Fluids 78, 04 (2015). https:// doi. org/ 10. 1002/ fld. 4023
11. Coon, E., Moulton, J., Painter, S.: Managing complexity in simulations of land surface and nearsurface processes. Environ. Model. Softw. 78, 134–149 (2016). https:// doi. org/ 10. 1016/j. envso ft. 2015. 12. 017
12. Fernàndez-Nieto, E., Narbona-Reina, G.: Extension of WAF type methods to non-homogeneous shallow water equations with pollutant. J. Sci. Comput. 36, 193–217 (2008). https:// doi. org/ 10.1007/ s10915- 008- 9185-9
13. Godlewski, E., Raviart, P.-A.: Numerical Approximation of Hyperbolic Systems of Conservation Laws. Springer, New York (1996). https:// doi. org/ 10. 1007/ 978-1- 4612- 0713-9
14. Jameson, A.: Artificial diffusion, upwind biasing, limiters and their effect on accuracy and multigrid convergence in transonic and hypersonic flows. In: 11th AIAA Computational Fluid Dynamics Conference (1993). https:// doi. org/ 10. 2514/6. 1993- 3359
15. Kurganov, A.: Finite-volume schemes for shallow-water equations. Acta Numer. 27, 289–351 (2018). https:// doi. org/ 10. 1017/ S0962 49291 80000 28
16. Kurganov, A., Levy, D.: Central-upwind schemes for the Saint-Venant system. Math. Model. Numer. Anal. 36, 397–425 (2002). https:// doi. org/ 10. 1051/ m2an: 20020 19
17. Kurganov, A., Petrova, G.: A second-order well-balanced positivity preserving central-upwind scheme for the Saint-Venant system. Commun. Math. Sci. 5, 03 (2007). https:// doi. org/ 10. 4310/ CMS. 2007. v5. n1. a6
18. Kuzmin, D.: A vertex-based hierarchical slope limiter for p-adaptive discontinuous Galerkin methods. J. Comput. Appl. Math. 233(12), 3077–3085 (2010). https:// doi. org/ 10. 1016/j. cam. 2009. 05.028
19. Kuzmin, D., Lohner, R., Turek, S.: Flux-Corrected Transport: Principles, Algorithms, and Applications. Springer, Berlin, Heidelberg (2005). https:// doi. org/ 10. 1007/ b1387 54
20. LeVeque, R.J.: Finite Volume Methods for Hyperbolic Problems. Cambridge Texts in Applied Mathematics. Cambridge University Press (2002). https:// doi. org/ 10. 1017/ CBO97 80511 791253
21. Liu, X.: A well-balanced and positivity-preserving numerical model for shallow water flows in channels with wet-dry fronts. J. Sci. Comput. 85, 60 (2020). https:// doi. org/ 10. 1007/s10915- 020- 01362-2
22. Liu, X., Albright, J., Epshteyn, Y., Kurganov, A.: Well-balanced positivity preserving centralupwind scheme with a novel wet/dry reconstruction on triangular grids for the Saint-Venant system. J. Comput. Phys. 374, 213–236 (2018). https:// doi. org/ 10. 1016/j. jcp. 2018. 07. 038
23. Macián-Pérez, J.F., García-Bartual, R., Huber, B., Bayon, A., Vallés-Morán, F.J.: Analysis of the flow in a typified USBR II stilling basin through a numerical and physical modeling approach. Water 12(1), 227 (2020). https:// doi. org/ 10. 3390/ w1201 0227
24. Noelle, S., Pankratz, N., Puppo, G., Natvig, J.R.: Well-balanced finite volume schemes of arbitrary order of accuracy for shallow water flows. J. Comput. Phys. 213(2), 474–499 (2006). https:// doi. org/ 10. 1016/j. jcp. 2005. 08. 019
25. Ricchiuto, M., Abgrall, R., Deconinck, H.: Application of conservative residual distribution schemes to the solution of the shallow water equations on unstructured meshes. J. Comput. Phys. 222(1), 287–331 (2007). https:// doi. org/ 10. 1016/j. jcp. 2006. 06. 024
26. Ricchiuto, M., Bollermann, A.: Stabilized residual distribution for shallow water simulations. J. Comput. Phys. 228, 1071–1115 (2009). https:// doi. org/ 10. 1016/j. jcp. 2008. 10. 020
27. Rusanov, V.V.: The calculation of the interaction of non-stationary shock waves and obstacles. USSR Comput. Math. Math. Phys. 1(2), 304–320 (1962). https:// doi. org/ 10. 1016/ 0041- 5553(62) 90062-9
28. Shirkhani, H., Mohammadian, A., Seidou, O., Kurganov, A.: A well-balanced positivity-preserving central-upwind scheme for shallow water equations on unstructured quadrilateral grids. Comput. Fluids 126, 25–40 (2016). https:// doi. org/ 10. 1016/j. compfluid. 2015. 11. 017
29. Thacker, W.C.: Some exact solutions to the nonlinear shallow-water wave equations. J. Fluid Mech. 107, 499–508 (1981). https:// doi. org/ 10. 1017/ S0022 11208 10018 82
30. Toro, E.F.: Riemann Solvers and Numerical Methods for Fluid Dynamics. Springer, Berlin, Heidelberg (2009). https:// doi. org/ 10. 1007/ b79761
31. Wainwright, H., Faybishenko, B., Molins, S., Davis, J., Arora, B., Pau, G., Flach, G., Denham, M., Eddy-Dilek, C., Moulton, D., Lipnikov, K., Gable, C., Miller, T., Barker, E., Freedman, V., Johnson, J.N., Freshley, M.: Effective long-term monitoring strategies by integrating reactive transport models with in situ geochemical measurements. In: Proceeding of WM2016 Conf. March 6–10, 2016 Phoenix, AZ (2016)
32. Xing, Y., Shu, C.-W.: High order finite difference WENO schemes with the exact conservation property for the shallow water equations. J. Comput. Phys. 208(1), 206–227 (2005). https:// doi. org/ 10.1016/j. jcp. 2005. 02. 006
33. Xing, Y., Shu, C.-W.: A survey of high order schemes for the shallow water equations. J. Math. Study 47(3), 221–249 (2014). https:// doi. org/ 10. 4208/ jms. v47n3. 14. 01
34. Xing, Y., Zhang, X., Shu, C.-W.: Positivity-preserving high order well-balanced discontinuous Galerkin methods for the shallow water equations. Adv. Water Resour. 33(12), 1476–1493 (2010). https:// doi. org/ 10. 1016/j. advwa tres. 2010. 08. 005
Options
Outlines

/