Persistent Link:
http://hdl.handle.net/10150/300509
Title:
Application of Bayesian Decision Theory in Well Field Design
Author:
Bostock, Charles A.; Davis, Donald R.
Affiliation:
Department of Hydrology & Water Resources, University of Arizona, Tucson 85721; Hydrology & Water Resources, and Systems and Industrial Engineering, University of Arizona, Tucson 85721
Issue Date:
12-Apr-1975
Rights:
Copyright ©, where appropriate, is held by the author.
Collection Information:
This article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.
Publisher:
Arizona-Nevada Academy of Science
Journal:
Hydrology and Water Resources in Arizona and the Southwest
Abstract:
Bayesian decision theory is a method for comparing expected utilities of alternative actions given various possible states of nature. The method treats uncertainty as to the true state of nature by determining the expected utility of each action in terms of the probabilities of the various possible states. The decision rule is to choose the action having the best expected utility. This paper illustrates an application of Bayesian decision theory in a well field design problem where a decision had to be made regarding capacity-density combination for wells located in an extensive uniform grid. The uncertainty lay in anticipating the frequencies of transmissivity values among the wells.
Keywords:
Hydrology -- Arizona.; Water resources development -- Arizona.; Hydrology -- Southwestern states.; Water resources development -- Southwestern states.; Water wells; Decision making; Evaluation; Transmissivity; Methodology; Aquifers; Groundwater; Design; Risks; Alternative planning; Bayesian decision theory
ISSN:
0272-6106

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleApplication of Bayesian Decision Theory in Well Field Designen_US
dc.contributor.authorBostock, Charles A.en_US
dc.contributor.authorDavis, Donald R.en_US
dc.contributor.departmentDepartment of Hydrology & Water Resources, University of Arizona, Tucson 85721en_US
dc.contributor.departmentHydrology & Water Resources, and Systems and Industrial Engineering, University of Arizona, Tucson 85721en_US
dc.date.issued1975-04-12-
dc.rightsCopyright ©, where appropriate, is held by the author.en_US
dc.description.collectioninformationThis article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.en_US
dc.publisherArizona-Nevada Academy of Scienceen_US
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.description.abstractBayesian decision theory is a method for comparing expected utilities of alternative actions given various possible states of nature. The method treats uncertainty as to the true state of nature by determining the expected utility of each action in terms of the probabilities of the various possible states. The decision rule is to choose the action having the best expected utility. This paper illustrates an application of Bayesian decision theory in a well field design problem where a decision had to be made regarding capacity-density combination for wells located in an extensive uniform grid. The uncertainty lay in anticipating the frequencies of transmissivity values among the wells.en_US
dc.subjectHydrology -- Arizona.en_US
dc.subjectWater resources development -- Arizona.en_US
dc.subjectHydrology -- Southwestern states.en_US
dc.subjectWater resources development -- Southwestern states.en_US
dc.subjectWater wellsen_US
dc.subjectDecision makingen_US
dc.subjectEvaluationen_US
dc.subjectTransmissivityen_US
dc.subjectMethodologyen_US
dc.subjectAquifersen_US
dc.subjectGroundwateren_US
dc.subjectDesignen_US
dc.subjectRisksen_US
dc.subjectAlternative planningen_US
dc.subjectBayesian decision theoryen_US
dc.identifier.issn0272-6106-
dc.identifier.urihttp://hdl.handle.net/10150/300509-
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.typetexten_US
dc.typeProceedingsen_US
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