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Optimizing Reservoir-Stream-Aquifer Interactions for Conjunctive Use and Hydropower Production
Joint Authors
Forghani, Ali
Fayad, Hala
Peralta, Richard C.
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Conjunctive management of water resources involves coordinating use of surface water and groundwater resources.
Very few simulation/optimization (S-O) models for stream-aquifer system management have included detailed interactions between groundwater, streams, and reservoir storage.
This paper presents an S-O model doing that via artificial neural network simulators and genetic algorithm optimizer for multiobjective conjunctive water use problems.
The model simultaneously addresses all significant flows including reservoir-stream-diversion-aquifer interactions in a more detailed manner than previous models.
The model simultaneously maximizes total water provided and hydropower production.
A penalty function implicitly poses constraints on state variables.
The model effectively finds feasible optimal solutions and the Pareto optimum.
Illustrated is application for planning water resource and minihydropower system development.
American Psychological Association (APA)
Fayad, Hala& Peralta, Richard C.& Forghani, Ali. 2012. Optimizing Reservoir-Stream-Aquifer Interactions for Conjunctive Use and Hydropower Production. Advances in Civil Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-507365
Modern Language Association (MLA)
Fayad, Hala…[et al.]. Optimizing Reservoir-Stream-Aquifer Interactions for Conjunctive Use and Hydropower Production. Advances in Civil Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-507365
American Medical Association (AMA)
Fayad, Hala& Peralta, Richard C.& Forghani, Ali. Optimizing Reservoir-Stream-Aquifer Interactions for Conjunctive Use and Hydropower Production. Advances in Civil Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-507365
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507365