Application of Bayesian Decision Theory in Well Field Design
| dc.contributor.author | Bostock, Charles A. | |
| dc.contributor.author | Davis, Donald R. | |
| dc.date.accessioned | 2013-08-30T18:06:16Z | |
| dc.date.available | 2013-08-30T18:06:16Z | |
| dc.date.issued | 1975-04-12 | |
| dc.identifier.issn | 0272-6106 | |
| dc.identifier.uri | http://hdl.handle.net/10150/300509 | |
| dc.description | From the Proceedings of the 1975 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 11-12, 1975, Tempe, Arizona | en_US |
| dc.description.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. | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Arizona-Nevada Academy of Science | en_US |
| dc.rights | Copyright ©, where appropriate, is held by the author. | en_US |
| dc.subject | Hydrology -- Arizona. | en_US |
| dc.subject | Water resources development -- Arizona. | en_US |
| dc.subject | Hydrology -- Southwestern states. | en_US |
| dc.subject | Water resources development -- Southwestern states. | en_US |
| dc.subject | Water wells | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Evaluation | en_US |
| dc.subject | Transmissivity | en_US |
| dc.subject | Methodology | en_US |
| dc.subject | Aquifers | en_US |
| dc.subject | Groundwater | en_US |
| dc.subject | Design | en_US |
| dc.subject | Risks | en_US |
| dc.subject | Alternative planning | en_US |
| dc.subject | Bayesian decision theory | en_US |
| dc.title | Application of Bayesian Decision Theory in Well Field Design | en_US |
| dc.type | text | en_US |
| dc.type | Proceedings | en_US |
| dc.contributor.department | Department of Hydrology & Water Resources, University of Arizona, Tucson 85721 | en_US |
| dc.contributor.department | Hydrology & Water Resources, and Systems and Industrial Engineering, University of Arizona, Tucson 85721 | en_US |
| dc.identifier.journal | Hydrology and Water Resources in Arizona and the Southwest | en_US |
| dc.description.collectioninformation | 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. | en_US |
| refterms.dateFOA | 2018-08-30T13:52:24Z | |
| html.description.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. |
