dc.contributor.author |
Mantoglou, A |
en |
dc.contributor.author |
Papantoniou, M |
en |
dc.date.accessioned |
2014-03-01T01:28:58Z |
|
dc.date.available |
2014-03-01T01:28:58Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.issn |
0022-1694 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/19048 |
|
dc.subject |
Aquifer management |
en |
dc.subject |
Coastal aquifers |
en |
dc.subject |
Genetic algorithms |
en |
dc.subject |
Pumping network design |
en |
dc.subject |
Pumping optimization |
en |
dc.subject |
Salt water intrusion |
en |
dc.subject.classification |
Engineering, Civil |
en |
dc.subject.classification |
Geosciences, Multidisciplinary |
en |
dc.subject.classification |
Water Resources |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Aquifers |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Difference equations |
en |
dc.subject.other |
Differential equations |
en |
dc.subject.other |
Differentiation (calculus) |
en |
dc.subject.other |
Flow simulation |
en |
dc.subject.other |
Genetic algorithms |
en |
dc.subject.other |
Hydrogeology |
en |
dc.subject.other |
Mathematical programming |
en |
dc.subject.other |
Nonlinear programming |
en |
dc.subject.other |
Numerical methods |
en |
dc.subject.other |
Optimal systems |
en |
dc.subject.other |
Salt water intrusion |
en |
dc.subject.other |
Stages |
en |
dc.subject.other |
Aquifer management |
en |
dc.subject.other |
Coastal aquifers |
en |
dc.subject.other |
Freshwater flow |
en |
dc.subject.other |
Governing differential equations |
en |
dc.subject.other |
Numerical simulations |
en |
dc.subject.other |
Numerical solutions |
en |
dc.subject.other |
Optimal designs |
en |
dc.subject.other |
Pumping network design |
en |
dc.subject.other |
Pumping optimization |
en |
dc.subject.other |
Pumping rates |
en |
dc.subject.other |
Sharp interfaces |
en |
dc.subject.other |
Simultaneous optimization |
en |
dc.subject.other |
Two stages |
en |
dc.subject.other |
Well locations |
en |
dc.subject.other |
Optimization |
en |
dc.subject.other |
coastal aquifer |
en |
dc.subject.other |
design |
en |
dc.subject.other |
equation |
en |
dc.subject.other |
genetic algorithm |
en |
dc.subject.other |
hydrological modeling |
en |
dc.subject.other |
optimization |
en |
dc.subject.other |
saline intrusion |
en |
dc.subject.other |
water flow |
en |
dc.title |
Optimal design of pumping networks in coastal aquifers using sharp interface models |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.jhydrol.2008.07.022 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.jhydrol.2008.07.022 |
en |
heal.language |
English |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
A method for optimal design of pumping networks in coastal aquifers based on genetic algorithms and numerical solution of the governing differential equations of freshwater flow, is developed. The objective is to optimize the well locations subject to constraints that protect the aquifer from saltwater intrusion. Two are developed. The first is based on simultaneous optimization of well. locations and pumping rates using genetic algorithms (GA). The second method follows two stages where the first stage concerns optimization of well locations and the second stage concerns optimization of pumping rates. The last method uses GA for searching the well positions and at each generation of GA, a simpler optimization with respect to the pumping rates is performed using nonlinear programming. The formulation of the constraints is based on numerical simulation of freshwater flow equations obtained from the sharp interface and the Ghyben-Herzberg approximations and the single potential formulation of Strack. The optimization methodologies are applied effectively for determining the optimal design of a pumping network and assessment of pumping rates in an island coastal aquifer. (C) 2008 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Journal of Hydrology |
en |
dc.identifier.doi |
10.1016/j.jhydrol.2008.07.022 |
en |
dc.identifier.isi |
ISI:000260806000005 |
en |
dc.identifier.volume |
361 |
en |
dc.identifier.issue |
1-2 |
en |
dc.identifier.spage |
52 |
en |
dc.identifier.epage |
63 |
en |