Optimal design of pumping networks in coastal aquifers using sharp interface models

Mantoglou, Aristotelis; Papantoniou, Maria

doi:10.1016/j.jhydrol.2008.07.022

Cited by 88 publications

(54 citation statements)

References 17 publications

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“…In the field of optimal management of coastal aquifers with saltwater intrusion vulnerability, previous works have obtained optimal solutions of groundwater management problems at varying degrees of success, with the application of linear, nonlinear or heuristic optimization algorithms in conjunction with simulation models (Gorelick and Voss 1984;Shamir et al 1984;Finney et al 1992;Karatzas and Pinder 1993;Rizzo and Dougherty 1996;Rogers et al 1995;Hallaji and Yazicigil 1996;Das and Datta 1999;Cheng et al 2000;Gordon et al 2000;Cai et al 2001;Mantoglou 2003;Mantoglou et al 2004;Park and Aral 2004;Qahman et al 2005;Karterakis et al 2007; Mantoglou and Papantoniou 2008;Dhar and Datta 2009a, b). Depending on the conditions, for proposed management problem, various different objective functions and sets of constraints have been applied.…”

Section: Introductionmentioning

confidence: 99%

Elitist Continuous Ant Colony Optimization Algorithm for Optimal Management of Coastal Aquifers

Ataie-Ashtiani

Ketabchi

2010

Water Resour Manage

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This paper presents an evolutionary based approach to achieve optimal management of a coastal aquifer to control saltwater intrusion. An improved Elitist Continuous Ant Colony Optimization (ECACO) algorithm is employed for optimal control variables setting of coastal aquifer management problem. The objectives of the optimal management are; maximizing the total water-pumping rate, while controlling the drawdown limits and protecting the wells from saltwater intrusion. Since present work is one of the first efforts towards the application of an ECACO algorithm, sharp interface solution for steady state problem is first exploited. The performance of the developed optimization model is evaluated through application examples available in the literature. The comparisons indicate the applicability of the ECACO algorithm. In the second approach, the numerical simulation is combined with ECACO algorithm. In this model, through some simple schemes, such as continuity equations in the porous media cells and existing hydraulic systems in the study area, further details can be investigated. The evaluation results show the potential applicability of the proposed numerical based model for optimal management of coastal aquifers.

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Section: Introductionmentioning

confidence: 99%

Elitist Continuous Ant Colony Optimization Algorithm for Optimal Management of Coastal Aquifers

Ataie-Ashtiani

Ketabchi

2010

Water Resour Manage

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“…The techniques used include linear programming (LP) (Castle and Lindeborg 1960;Vedula and Roger 1981;Feinerman and Yaron 1983;Peralta et al 1995;Mantoglou 2003), non-linear programming (NLP) (Rydzewski and Rashid 1981;Takahashi and Peralta 1995;Montazar et al 2010;Shamir et al 1984;Mantoglou and Papantoniou 2008), dynamic programming (DP) (Burt 1970;Yakowitz 1982;Lee and Kitanidis 1991;Datta and Dhiman 1996;Philbrick and Kitanidis 1998;Shangguan et al 2002;Tran et al 2011), quadratic programming (QP) (Lefkoff and Gorelick 1986), and genetic algorithm (GA) (Holland 1975;Sharif and Wardlaw 2000;Maskey et al 2002;Wardlaw and Bhaktikul 2004;Haq et al 2008;Wu et al 2007;Liu et al 2008;Rana et al 2008;Safavi et al 2009). …”

Section: Optimization Modelingmentioning

confidence: 99%

Review: Computer-based models for managing the water-resource problems of irrigated agriculture

Singh

2015

Hydrogeol J

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Irrigation is essential for achieving food security to the burgeoning global population but unplanned and injudicious expansion of irrigated areas causes waterlogging and salinization problems. Under this backdrop, groundwater resources management is a critical issue for fulfilling the increasing water demand for agricultural, industrial, and domestic uses. Various simulation and optimization approaches were used to solve the groundwater management problems. This paper presents a review of the individual and combined applications of simulation and optimization modeling for the management of groundwater-resource problems associated with irrigated agriculture. The study revealed that the combined use of simulation-optimization modeling is very suitable for achieving an optimal solution for groundwater-resource problems, even with a large number of variables. Independent model tools were used to solve the problems of uncertainty analysis and parameter estimation in groundwater modelling studies. Artificial neural networks were used to minimize the problem of computational complexity. The incorporation of socioeconomic aspects into the groundwater management modeling would be an important development in future studies.

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“…Thus, in recent years, research has been directed towards heuristic techniques, such as evolutionary algorithms, Tabu search and simulated annealing due to their broad applicability to general management scenarios. Various applications in saltwater intrusion management have applied such algorithms successfully (Cheng et al 2000;Cai et al 2001;Karterakis et al 2007;Mantoglou and Papantoniou 2008;Dhar and Datta 2009;Kourakos and Mantoglou 2011).…”

Section: Introductionmentioning

confidence: 99%

Optimal management of saltwater intrusion in the coastal aquifer of Malia, Crete (Greece), using particle swarm optimization

Karatzas

Dokou

2015

Hydrogeol J

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Saltwater intrusion is a common phenomenon in coastal aquifers that can affect the quality of water intended for drinking and irrigation purposes. In order to provide sustainable management options for the coastal aquifer of Malia, located on the Greek island of Crete, a weighted multi-objective optimization methodology is employed. The methodology involves use of the particle swarm optimization algorithm combined with groundwater modelling. The sharp-interface approximation combined with the Ghyben-Herztberg equation is used to estimate the saltwater-intrusion front location. The prediction modelling results show that under the current pumping strategies (over-exploitation), the saltwaterintrusion front will continue to move inland, posing a serious threat to the groundwater quality. The management goal is to maximize groundwater withdrawal rates in the existing pumping wells while inhibiting the saltwaterintrusion front at locations closer to the coastal zone. This is achieved by requiring a minimum hydraulic-head value at pre-selected observation locations. In order to control the saltwater intrusion, a large number of pumping wells must be deactivated and alternative sources of water need to be considered.

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Optimal design of pumping networks in coastal aquifers using sharp interface models

Cited by 88 publications

References 17 publications

Elitist Continuous Ant Colony Optimization Algorithm for Optimal Management of Coastal Aquifers

Elitist Continuous Ant Colony Optimization Algorithm for Optimal Management of Coastal Aquifers

Review: Computer-based models for managing the water-resource problems of irrigated agriculture

Optimal management of saltwater intrusion in the coastal aquifer of Malia, Crete (Greece), using particle swarm optimization

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