Preview

Computational Mathematics and Information Technologies

Advanced search

Comparison of Hydrodynamic Processes Modelling Results in Shallow Water Bodies Based on 3D Model and 2D Model Averaged by Depth

https://doi.org/10.23947/2587-8999-2023-7-3-49-63

Abstract

Introduction. Two-dimensional hydrodynamic models have proven their ability to adequately describe the processes of runoff and transportation in rivers, lakes, estuaries, deltas and seas. Practice shows that even where significant three-dimensional effects are expected, for example, with wind flows, a two-dimensional approach can work effectively. However, in some cases, the two-dimensional model does not accurately reflect the actual flow structures. For example, in shallow waters with complex bathymetry, heterogeneous terrain and dynamics can lead to a non-uniform velocity profile. The aim of the study is to develop a basis for determining in which cases a two-dimensional model averaged in depth is sufficient for modelling hydrodynamic processes in shallow waters like the Azov Sea, and in which cases it is advisable to use a three-dimensional model to obtain accurate results.

Materials and Methods. Local analytical solutions have been obtained for the propagation of the predominant singular progressive wave in a shallow, well-mixed reservoir. Advective terms and Coriolis terms are neglected, the vortex viscosity is assumed to be constant, and the lower friction term is linearized. Special attention is paid to the latter, since the characteristics of the models significantly depend on the method of determining the coefficients of lower friction. The analytical method developed in the study shows that certain combinations of higher flow velocities (u ≈˃ 1 m/s) and water depths (d ˃ 50 m) can cause significant differences between the results of the depth-averaged model and the model containing vertical information.

Results. The results obtained are verified by numerical simulation of stationary and non-stationary periodic flows in a schematized rectangular basin. The results obtained as a result of three-dimensional modelling are compared with the results of two-dimensional modelling averaged in depth. Both simulations show good compliance with analytical solutions.

Discussion and Conclusions. Analytical solutions were found by linearization of the equations, which obviously has its limitations. A distinction is made between two types of nonlinear effects — nonlinearities caused by higher-order terms in the equations of motion, i.e. terms of advective acceleration and friction, and nonlinear effects caused by geometric nonlinearities, this is due, for example, to different water depths and reservoir widths, which will be important when modelling a real sea.

About the Authors

S. V. Protsenko
Taganrog Institute named after A.P. Chekhov (branch) of RSUE
Russian Federation

Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Mathematics, Researcher

48, Initiative St., Taganrog, 347936



E. A. Protsenko
Taganrog Institute named after A.P. Chekhov (branch) of RSUE
Russian Federation

Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Mathematics, Leading Researcher

48, Initiative St., Taganrog, 347936



A. V. Kharchenko
Taganrog Institute named after A.P. Chekhov (branch) of RSUE
Russian Federation

Master’s student

48, Initiative St., Taganrog, 347936



References

1. Bijlsma AC, Uittenbogaard RE, Blokland T. Horizontal large eddy simulation applied to stratified tidal flows. Proceedings of the International Symposium on Shallow Flows. Delft, Netherlands. 2003:559–566. https://doi.org/10.1201/9780203027325.ch70

2. Chamecki M, Chor T, Yang D, et al. Material transport in the ocean mixed layer: recent developments enabled by large eddy simulations. Reviews of Geophys. 2019;57:1338–1371. https://doi.org/10.1029/2019RG000655

3. Gushchin VA, Mitkin VV, Rozhdestvenskaya TI, et al. Numerical and experimental study of the fine structure of a stratified fluid flow over a circular cylinder. Applied Mechanics and Technical Physics. 2007;48(1(281)):43–54. (In Russ.). https://doi.org/10.1007/s10808-007-0006-y

4. Jirka GH. Large scale flow structures and mixing processes in shallow flows. Journal of Hydraulic Research. 2001;39(6):567–573. https://doi.org/10.1080/00221686.2001.9628285

5. Smit PB, Janssen TT, Herbers TH. Nonlinear wave kinematics near the ocean surface. Journal of Oceanography. 2017;47:1657–1673. https://doi.org/10.1175/JPO-D-16-0281.1

6. Unified state information system on the situation in the World Ocean. URL: http://portal.esimo.ru (Accessed 10.06.2023).

7. Alekseenko Е, Roux B, Sukhinov А, et al. Nonlinear hydrodynamics in a mediterranean lagoon. Nonlinear Processes in Geophysics. 2013;20(2):189–198. https://doi.org/10.5194/npg-20-189-2013

8. Battjes J, Labeur R. Unsteady Flow in Open Channels. Cambridge University Press, 2017. 312 p. https://doi.org/10.1017/9781316576878

9. Belocerkovskij OM. Turbulence: new approaches. Moscow : Nauka, 2003. 285 c.

10. Monin AS. Turbulence and microstructure in the ocean. Soviet Physics Uspekhi. 1973;109(2):333–354. (In Russ.). https://doi.org/10.1070/PU1973v016n01ABEH005153

11. Breugem WP. The influence of wall permeability on laminar and turbulent flows. PhD thesis. Delft University of Technology, 2004. 206 р.

12. Vreugdenhil CB. Numerical Methods for Shallow-Water Flow. Springer, Berlin; Heidelberg, New York, 1994. 262 p.

13. Fischer H. Mixing in Inland and Coastal Waters. Academic Press, 1979. 483 p.

14. Lorentz HA. Sketches of his work on slow viscous flow and some other areas in fluid mechanics and the background against which it arose. Journal of Engineering Mathematics. 1996;30(1–2):1–18. https://doi.org/10.1007/BF00118820

15. Sukhinov AI, Chistyakov AE, Alekseenko EV. Numerical realization of the three-dimensional model of hydrodynamics for shallow water basins on a high-performance system. Matematicheskoe modelirovanie. 2011;3(5):562– 574. (In Russ.). https://doi.org/10.1134/S2070048211050115

16. Suhinov AI, Chistyakov AE. Parallel implementation of a three-dimensional hydrodynamic model of shallow water basins on supercomputing systems. Numerical methods and programming. 2012;13(1):290–297. (In Russ.).

17. Suhinov AI, Chistyakov AE, Fomenko NA. A Method of Constructing Difference Scheme for Problems of Diffusion-Convection-Reaction, Takes Into the Degree of Filling of the Control Volume. Proceedings of the Southern Federal University. Technical sciences. 2013;4(141): 87–98. (In Russ.).

18. Sukhinov AI, Chistyakov AE, Procenko EA. Sediment Transport mathematical modeling in a coastal zone using multiprocessorComputational. Numerical methods and programming. 2014;15:610–620. (In Russ.).

19. Vasil’ev VS, Suhinov AI. Precise Two-Dimensional Models for Shallow Water Bаsins. Matematicheskoe modelirovanie. 2003;15(10):17–34. (In Russ.).

20. Samarskiy AA. The Theory of difference schemes. Moscow: Nauka, 1989. 553 p. (In Russ.).

21. Samarskiy AA, Vabishevich PN. Numerical methods for solving convection-diffusion problems. Moscow: Nauka, 2015. (In Russ.).


Review

For citations:


Protsenko S.V., Protsenko E.A., Kharchenko A.V. Comparison of Hydrodynamic Processes Modelling Results in Shallow Water Bodies Based on 3D Model and 2D Model Averaged by Depth. Computational Mathematics and Information Technologies. 2023;7(3):49-63. https://doi.org/10.23947/2587-8999-2023-7-3-49-63

Views: 412


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-8999 (Online)