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Combined simulation-optimization of a coastal aquifer by using Genetic Algorithm
Date
2010-06-25
Author
Demirbaş, Kerim
Altan Sakarya, Ayşe Burcu
Onder, H.
Metadata
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Excessive pumping in coastal aquifers results in seawater intrusion where optimal and efficient planning is essential. In this study, numerical solution of single potential solution by Strack (1976) is combined with Genetic Algorithm (GA) to optimize the maximum benefit in a coastal aquifer. Injection wells are added as an artificial recharge to prevent seawater intrusion. The objective is to optimize both pumping rates and locations of injection wells. The model is applied to a previous work by Mantoglou (2003). Two different methods are utilized. First locations and discharge values are optimized, simultaneously. Then, a three-step GA method is introduced where discharge rates and locations are optimized, in an iterative manner.
Subject Keywords
Aquifers
,
Groundwater geochemistry
,
Hydraulics
,
Hydrogeology
,
Optimization
,
Salt water intrusion
,
Wells
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860226489&origin=inward
https://hdl.handle.net/11511/71892
Conference Name
6th International Symposium on Environmental Hydraulics (23-25 June 2010)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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K. Demirbaş, A. B. Altan Sakarya, and H. Onder, “Combined simulation-optimization of a coastal aquifer by using Genetic Algorithm,” Athens, Greece, 2010, vol. 2, p. 661, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860226489&origin=inward.