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Management of groundwater resources using surface pumps: Optimization using Genetic Algorithms and the Tabu Search method
Abstract The Visual MODFLOW software has been used to simulate the flow behavior, while both a Genetic Algorithm and a Tabu Search Algorithm have been used to maximize the extracted flowrates and investigate the optimal groundwater management strategy of an unconfined aquifer, for the case when surface pumps are used. The procedure above is applied in the south-west area of the Eidomeni-Evzoni phreatic aquifer, located near the borderline of Greece and the Former Yugoslav Republic of Macedonia (FYROM). The optimal total pumping flowrate has been estimated at 4560.9 m3/d. It is proven that the non-linear Boussinesq equation rather than its linearized counterpart should be used. It is also demonstrated that a coarse uniform grid might underestimate the head drawdown induced by the well; accordingly, a more sophisticated grid, with two refinement zones around each well, should be adopted. The optimization results indicate that the Τabu Search approach is computationally more efficient than the Genetic Algorithms, while both give the same results.
Management of groundwater resources using surface pumps: Optimization using Genetic Algorithms and the Tabu Search method
Abstract The Visual MODFLOW software has been used to simulate the flow behavior, while both a Genetic Algorithm and a Tabu Search Algorithm have been used to maximize the extracted flowrates and investigate the optimal groundwater management strategy of an unconfined aquifer, for the case when surface pumps are used. The procedure above is applied in the south-west area of the Eidomeni-Evzoni phreatic aquifer, located near the borderline of Greece and the Former Yugoslav Republic of Macedonia (FYROM). The optimal total pumping flowrate has been estimated at 4560.9 m3/d. It is proven that the non-linear Boussinesq equation rather than its linearized counterpart should be used. It is also demonstrated that a coarse uniform grid might underestimate the head drawdown induced by the well; accordingly, a more sophisticated grid, with two refinement zones around each well, should be adopted. The optimization results indicate that the Τabu Search approach is computationally more efficient than the Genetic Algorithms, while both give the same results.
Management of groundwater resources using surface pumps: Optimization using Genetic Algorithms and the Tabu Search method
Moutsopoulos, Konstantinos N. (Autor:in) / Papaspyros, John N. E. (Autor:in) / Tsihrintzis, Vassilios A. (Autor:in)
KSCE Journal of Civil Engineering ; 21 ; 2968-2976
03.02.2017
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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