Design of irrigation system of canals using stochastic optimization approach.

Persistent Link:
http://hdl.handle.net/10150/187107
Title:
Design of irrigation system of canals using stochastic optimization approach.
Author:
Elshorbagy, Walid Ali.
Issue Date:
1995
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Design capacities of irrigation system canals determine the size and the cost of the system. Decisions to define the canal capacities depend on many uncertain parameters such as those describing the system operation and crop return. The most economical design can be obtained from an optimization model that accounts for these uncertainties while considering both the system design and operation. A two-stage stochastic problem with recourse is formulated in which the canal capacities are the first stage decisions and the water allocations are made in the second stage. This dissertation examines the two-state regularized stochastic decomposition algorithm and modifies it to better handle general engineering applications. It was used to solve for the optimal canal capacities under uncertain parameters present in the right hand side (RHS) of the second-stage constraints. The L-shaped method was then used to solve for these capacities under uncertain objective coefficients as well as RHS parameters. Obtained capacities from the stochastic approach were compared with results obtained from a traditional design procedure and from a deterministic optimization model in different conditions. The comparison demonstrates the merit of the proposed approach and points out the necessity to consider the parameters uncertainties when designing under certain conditions.
Type:
text; Dissertation-Reproduction (electronic)
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Civil Engineering and Engineering Mechanics; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Lansey, Kevin E; Yakowitz, Diana

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleDesign of irrigation system of canals using stochastic optimization approach.en_US
dc.creatorElshorbagy, Walid Ali.en_US
dc.contributor.authorElshorbagy, Walid Ali.en_US
dc.date.issued1995en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractDesign capacities of irrigation system canals determine the size and the cost of the system. Decisions to define the canal capacities depend on many uncertain parameters such as those describing the system operation and crop return. The most economical design can be obtained from an optimization model that accounts for these uncertainties while considering both the system design and operation. A two-stage stochastic problem with recourse is formulated in which the canal capacities are the first stage decisions and the water allocations are made in the second stage. This dissertation examines the two-state regularized stochastic decomposition algorithm and modifies it to better handle general engineering applications. It was used to solve for the optimal canal capacities under uncertain parameters present in the right hand side (RHS) of the second-stage constraints. The L-shaped method was then used to solve for these capacities under uncertain objective coefficients as well as RHS parameters. Obtained capacities from the stochastic approach were compared with results obtained from a traditional design procedure and from a deterministic optimization model in different conditions. The comparison demonstrates the merit of the proposed approach and points out the necessity to consider the parameters uncertainties when designing under certain conditions.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineCivil Engineering and Engineering Mechanicsen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairLansey, Kevin Een_US
dc.contributor.chairYakowitz, Dianaen_US
dc.contributor.committeememberContractor, Dinshaw N.en_US
dc.contributor.committeememberSlack, Donald C.en_US
dc.contributor.committeememberNordby, Eugeneen_US
dc.contributor.committeememberLarson, Dennisen_US
dc.identifier.proquest9531126en_US
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