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A Numerical Scheme for Solving a Mathematical Model Derived from Larvae-Algae-Mussel Interactions

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Abstract

In this work is proposed the use of a numerical strategy based on the operator splitting technique, for solving a mathematical model for the population of the golden mussel in its adult stage, larval stage and algae (its food source) in aquatic environments, presented in [1, 19]. The model is composed of three unsteady and nonlinear advective-diffusive-reactive equations for species dynamics and the Navier-Stokes equations to simulate the water velocity field. We employ the operator splitting technique in order to effectively handle the reaction terms and the stiff processes associated with the model. The numerical methodology solves the transport problem in two stages: first, given the velocity field, we solve the advective-diffusive problem to obtain the densities of larvae, algae and mussels; then, we use this first step approximation as initial condition for solving the system of ordinary differential equations for the reactions terms. The new numerical formulation is then used in a 3D simulation of golden mussel proliferation in a section of the Pereira Barreto channel (Brazil), with a focus on population control actions. Preliminary results are discussed, as well as other considerations related to numerical strategy.

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References

  1. Azevedo, R.Z.S., et al.: Numerical solution of a 3d system of transient and nonlinear pdes arising from larvae-algae-mussels interactions. In: Lecture Notes in Computer Science, vol. 13377, pp. 684–697. Springer, Heidelberg (2022). https://doi.org/10.1007/978-3-031-10536-4_45

  2. Boltovskoy, D., Correa, N., Cataldo, D., Sylvester, F.: Dispersion and ecological impact of the invasive freshwater bivalve limnoperna fortunei in the río de la plata watershed and beyond. Biol. Invas. 8, 947–963 (2006)

    Article  Google Scholar 

  3. Brooks, A.N., Hughes, T.J.R.: Streamline upwind/petrov -galerkin formulations for convection dominated flows with particular emphasis on the incompressible navier-stokes equations. Comput. Methods Appl. Mech. Eng. 32(1–3), 199–259 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  4. Burden, R.L., Faires, J.D.: Numerical Analysis. Brooks/Cole, Cengage Learning (2011)

    Google Scholar 

  5. Cangelosi, R.A., Wollkind, D.J., Kealy-Dichone, B.J., Chaiya, I.: Nonlinear stability analyses of turing patterns for a mussel-algae model. J. Math. Biol. 70(6), 1249–1294 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  6. Carmo, E.G.D., Alvarez, G.B.: A new stabilized finite element formulation for scalar convection-diffusion problems: the streamline and approximate upwind/petrov-galerkin method. Comput. Methods Appl. Mech. Eng. 192(31–32), 3379–3396 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  7. Cataldo, D., Boltovskoy, D.: Yearly reproductive activity of limnoperna fortune(bivalvia) as inferred from the occurrence of its larvae in the plankton of the lower paraná river and the río de la plata estuary (argentina). Aquat. Ecol. 34(3), 307–317 (2000)

    Article  Google Scholar 

  8. Curtiss, C.F., Hirschfelder, J.O.: Integration of stiff equations. Proc. Natl. Acad. Sci. 38(3), 235–243 (1952)

    Article  MathSciNet  MATH  Google Scholar 

  9. Donea, J., Huerta, A.: Finite Element Methods for Flow Problems. John Wiley & Sons, Ltd., Hoboken (2000)

    MATH  Google Scholar 

  10. Edelstein-Keshet, L.: Mathematical models in biology. Society for Industrial and Applied Mathematics (2005)

    Google Scholar 

  11. Galeão, A.C., do Carmo, E.G.D.: A consistent approximate upwind Petrov-Galerkin method for convection-dominated problems. Comput. Methods Appl. Mech. Eng. 68, 83–95 (1988)

    Google Scholar 

  12. Hecht, F.: Freefem documentation. release 4.8 (2022). https://freefem.org/

  13. Karatayev, A., Burlakova, L., Padilla, D.: The effects of dreissena polymorpha (pallas) invasion on aquatic communities in eastern Europe. J. Shellfish Res. 16, 18–203 (1997)

    Google Scholar 

  14. van de Koppel A.D.M., Rietkerk, J., Herman, N.D.A.P.M.J.: Scale-dependent feedback and regular spatial patterns in young mussel beds. Am. Nat. 165(3), E66–E77 (2005)

    Google Scholar 

  15. MATLAB: Matlab manual switch (2022). https://www.mathworks.com/products/matlab.html

  16. Montresor, L.C.: Implicações Ecotoxicológicas do controle químico de Limnoperna fortunei (Dunker 1857 (Bivalvia: Mytilidae). Ph.D. thesis, Universidade Federal de Minas Gerais (2014)

    Google Scholar 

  17. Odencrantz, J.E.: Modeling the biodegradation kinetics of dissolved organic contaminants in a heterogeneous two-dimensional aquifer. Ph.D. thesis, Graduate College of the University of Ilinois at Urbana-Champaign (1992)

    Google Scholar 

  18. Pritchard, R.R.F.A.P.J., McDonald, A.T.: Introdução à Mecânica dos Fluidos. Gen-LTC (2000)

    Google Scholar 

  19. Silva, J.C.R., et al.: Population growth of the golden mussel (l. fortunei) in hydroelectric power plants: a study via mathematical and computational modeling. Braz. J. Water Res. 27, 1–15 (2022). https://doi.org/10.1590/2318-0331.272220210124

  20. Wheeler, M.: Modeling of highly advective flow problems. In: Developments in Water Science, vol. 35, pp. 35–44. Elsevier (1988)

    Google Scholar 

  21. Zhou, D., Liu, M., Qi, K., Liu, Z.: Long-time behaviors of two stochastic mussel-algae models. Math. Biosci. Eng. 18(6), 8392–8414 (2021)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

Research carried out within the scope of the project “Control of the Golden Mussel Infestation by Genetic Induction of Infertility” (PD-10381-0419/2019) with funding from CTG Brasil, SPIC Brasil and Tijoá Energia, within their ANEEL Research & Development Programs.

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Correspondence to Isaac P. Santos .

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Azevedo, R.Z.S. et al. (2023). A Numerical Scheme for Solving a Mathematical Model Derived from Larvae-Algae-Mussel Interactions. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14112. Springer, Cham. https://doi.org/10.1007/978-3-031-37129-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-37129-5_14

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