Management of coastal aquifers based on nonlinear optimization and evolutionary algorithms

Mantoglou, A; Papantoniou, M; Giannoulopoulos, P

dc.contributor.author	Mantoglou, A	en
dc.contributor.author	Papantoniou, M	en
dc.contributor.author	Giannoulopoulos, P	en
dc.date.accessioned	2014-03-01T01:20:51Z
dc.date.available	2014-03-01T01:20:51Z
dc.date.issued	2004	en
dc.identifier.issn	00221694	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16034
dc.subject	Aquifer management	en
dc.subject	Coastal aquifers	en
dc.subject	Evolutionary algorithms	en
dc.subject	Genetic algorithms	en
dc.subject	Nonlinear optimization	en
dc.subject	Salt water intrusion	en
dc.subject.other	Coastal zones	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Finite difference method	en
dc.subject.other	Hydraulic conductivity	en
dc.subject.other	Optimization	en
dc.subject.other	Quadratic programming	en
dc.subject.other	Sea water intrusion	en
dc.subject.other	Aquifers	en
dc.subject.other	coastal aquifer	en
dc.subject.other	genetic algorithm	en
dc.subject.other	groundwater abstraction	en
dc.subject.other	hydraulic conductivity	en
dc.subject.other	numerical model	en
dc.subject.other	pumping	en
dc.subject.other	saline intrusion	en
dc.subject.other	Dodecanese	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Kalymnos	en
dc.subject.other	Southern Aegean	en
dc.subject.other	Southern Europe	en
dc.title	Management of coastal aquifers based on nonlinear optimization and evolutionary algorithms	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jhydrol.2004.04.011	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jhydrol.2004.04.011	en
heal.publicationDate	2004	en
heal.abstract	A method of assessing the optimum pumping rates of coastal aquifers based on nonlinear optimization and evolutionary algorithms (EA) is developed. The objective is to maximize the total pumping rate while protecting the wells from sea water intrusion. The formulation of the constraints is based on numerical simulation of the freshwater flow equations. The simulation model is based on the sharp interface and the Ghyben-Herzberg approximation and is applicable to unconfined aquifers and steady-state flow. The single potential formulation of [Water Resour. Res. 12 (1976) 1165] is followed and the governing equations are solved numerically using finite differences. The numerical model can handle aquifers of complex shapes, nonuniform hydraulic conductivity, nonuniform distribution of surface recharge, etc. The constraints are nonlinear with respect to the decision variables resulting in a nonlinear optimization problem. Two optimization methods are investigated, specifically Sequential Quadratic Programming (SQP) and Evolutionary Algorithms (EA). SQP requires less computer time than EA but can get stuck on local optimum solutions. The simulation and optimization methodology is applied to a real unconfined coastal aquifer in the Greek island of Kalymnos for determining the optimal pumping rates while protecting the wells from sea water intrusion. © 2004 Elsevier B.V. All rights reserved.	en
heal.journalName	Journal of Hydrology	en
dc.identifier.doi	10.1016/j.jhydrol.2004.04.011	en
dc.identifier.volume	297	en
dc.identifier.issue	1-4	en
dc.identifier.spage	209	en
dc.identifier.epage	228	en