Abstract
In this work we deal with the optimization of different issues related to heavy metals phytoremediation techniques, by combining mathematical modelling, optimal control of partial differential equations and numerical optimization. We introduce a 2D mathematical system of nonlinear partial differential equations modelling the concentrations of heavy metals, algae and nutrients in large waterbodies. We formulate an optimal control problem related to the optimization of the phytoremediation process, and propose a full algorithm for computing the numerical solution of the problem. Finally, we present several numerical results for a realistic problem related to: (i) determining the minimal quantity of algae to be used in the heavy metals remediation process, and (ii) locating the optimal place for such algal mass.
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Acknowledgments
The authors thank the funding from project MTM2015-65570-P of MINECO/ FEDER (Spain). The support provided by DHI with modelling system MIKE21 is also greatly appreciated.
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Alvarez-Vázquez, L.J., Martínez, A., Rodríguez, C., Vázquez-Méndez, M.E., Vilar, M.A. (2019). Optimal Control of Phytoremediation Techniques for Heavy Metals Removal in Shallow Water. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_32
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DOI: https://doi.org/10.1007/978-3-319-97773-7_32
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