AUTHORS: Yiannis Kontos, Konstantinos Katsifarakis

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ABSTRACT: The paper discusses optimal management of a theoretical coastal aquifer, providing water for drinking and/or irrigation purposes, which is threatened by seawater intrusion from the coast and by nonconservative pollutant plumes from the inland. It follows authors' previous work that dealt with the minimization of the aquifer's management cost, namely optimization of Pump-And-Treat and Hydraulic Control techniques in order to pump a given flow-rate of fresh water, without compromising the aquifer's sustainability. Optimization, in this paper, on the other hand, entails maximization of the fresh water pumping flow-rate, provided that no well is polluted and no seawater intrusion occurs (Water Supply problem). Practically, the goal is: find the flow rates of existing abstraction wells and the fittest locations and flow rates of additional wells, in order to pump the highest total fresh water flow-rate, without further sea intrusion. An established robust computational tool, 'OptiManage', entirely created by the authors, able to address the combined pollution-salinization problem, is used. OptiManage uses a binary genetic algorithm including elitism and a complex penalty function. The need to balance between computational volume and accuracy dictates the simulation of the groundwater flow field through a simplified surrogate 2D field, using a boundary element method, while a particle tracking code simulates the advective mass transport (pollution spread and seawater intrusion).

KEYWORDS: - genetic algorithms, coastal aquifer, groundwater pollution, seawater intrusion, maximum water supply, boundary elements, particle tracking

REFERENCES:

[1] A. Mulligan, D. Ahlfeld, Advective Control of Groundwater Contaminant Plumes: Model Development and Comparison to Hydraulic Control, Water Resources Research, Vol.35, No.8, 1999, pp. 2285-94.

[2] J. Guan, M. Aral, Optimal Remediation with Well Locations and Pumping Rates Selected as Continuous Decision Variables, Journal of Hydrology, Vol.21, No1-2, 1999, pp. 20-42.

[3] A. Mayer, C. Kelley, C. Miller, Optimal Design for Problems Involving Flow and Transport Phenomena in Saturated Subsurface Systems, Advances in Water Resources, 2002, Vol.25, No.8–12, pp. 1233-56.

[4] S. Gorelick, Sensitivity Analysis of Optimal Groundwater Contaminant Capture Curves: Spatial Variability and Robust Solutions, Proc. of the National Water Well Association Conference: Solving Groundwater Problems With Models, National Water Well Association, Denver, Colorado. 1987, pp. 133- 46.

[5] P. Bayer, M. Finkel, G. Teutsch. Reliability of Hydraulic Performance and Cost Estimates of Barrier-Supported Pump-and-Treat Systems in Heterogeneous Aquifers. In: Hrkal KKaZ, editor. Proc Calibration and Reliability in Groundwater Modelling: A Few Steps Closer to Reality, Prague, Czech Republic: IAHS Publ. No 227, 2002, pp. 331-8.

[6] Y. Kontos, M. Katirtzidou, M. Kizeridou, K. Katsifarakis, Optimal Management of a Polluted Fractured Aquifer, Using Genetic Algorithms, In: Christodoulou, Stamou AI editors, Proc. 6th International Symposium on Environmental Hydraulics, Athens, Greece Vol. 2. Taylor & Francis Group, 2010, pp. 685-90.

[7] Y. Kontos, K. Katsifarakis, Optimization of Pumping Scheme in a Polluted Fractured Aquifer Using Genetic Algorithms, Proc. International Conf. “Protection and Restoration of the Environment XΙ”, Thessaloniki, Greece, 2012, pp. 375-84.

[8] Y. Kontos, K. Katsifarakis, Optimization of Management of Polluted Fractured Aquifers Using Genetic Algorithms, European Water, 2012, Vol.40, pp. 31-42.

[9] Y. Kontos, Optimal Management of Fractured Coastal Aquifers with Pollution Problems (in Greek), PhD Thesis, Aristotle Univ. of Thessaloniki, 2013.

[10] Y. Kontos, K. Katsifarakis, Optimal management of a theoretical coastal aquifer with combined pollution and salinization problems, using genetic algorithms, Energy, Vol.136, 2017, pp. 32-44.

[11] E. Glover, Containment of contaminated groundwater - an overview, Conference containment of contaminated groundwater - an overview, Worthington, OH, pp. 17-22.

[12] D. Ahlfeld, R. Page, G. Pinder, Optimal ground-water remediation methods applied to a superfund site: from formulation to implementation, Ground Water, 1995, Vol.33, No.1, pp. 58-70.

[13] C. Sawyer, Y. Lin, Mixed-integer chanceconstrained models for ground-water remediation, Journal of Water Resources Planning and Management, 1998, Vol.124, No.5, pp. 285-94.

[14] C. Huang, A. Mayer, Pump-and-Treat optimization using well locations and pumping rates as decision variables, Water Resources Research, 1997, Vol.33, No.5, pp. 1001-12.

[15] J. Yoon, C. Shoemaker, Comparison of Optimization Methods for Ground-Water Bioremediation, Journal of Water Resources Planning and Management, 1999, Vol.125, No.1, pp. 54-63.

[16] M. Erickson, A. Mayer, J. Horn, MultiObjective Optimal Design of Groundwater Remediation Systems: Application of the Niched Pareto Genetic Algorithm (NPGA). Advances in Water Resources, 2002, Vol.25, No.1, pp. 51-65.

[17] D. Ingham, P. Heggs, M. Manzoor, The numerical solution of plane potential problems by improved boundary integral equation methods, Journal of Computational Physics, 1981, Vol.42, No.1, pp. 77-98.

[18] K. Katsifarakis, Z. Petala, Combining Genetic Algorithms and Boundary Elements to Optimize Coastal Aquifers’ Management, Journal of Hydrology, 2006, Vol.327, No.1-2, pp. 200-7.

[19] P. Latinopoulos, K. Katsifarakis, A Boundary Element and Particle Tracking Model for Advective Transport in Zoned Aquifers, Journal of Hydrology, 1991, Vol.124, No.1-2, pp. 159-76.

[20] K. Katsifarakis, D. Karpouzos, Minimization of Pumping Cost in Zoned Aquifers by Means of Genetic Algorithms, In: Katsifarakis et al. editors, Proc. of the International Conference “Protection and Restoration of the Environment ΙV”, Sani, Halkidiki, Greece. 1998, pp. 61-8.

[21] R. Le Riche, C. Knopf-Lenoir, R. Haftka, A Segregated Genetic Algorithm for Constrained Structural Optimization, Morgan Kaufmann Publishers Inc., 1995, pp. 558-65.