A Hierarchal Model for Arizona's Water Resources
dc.contributor.author | Buras, Nathan | |
dc.date.accessioned | 2013-07-15T22:07:26Z | |
dc.date.available | 2013-07-15T22:07:26Z | |
dc.date.issued | 1983-04-16 | |
dc.identifier.issn | 0272-6106 | |
dc.identifier.uri | http://hdl.handle.net/10150/296087 | |
dc.description | From the Proceedings of the 1983 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona-Nevada Academy of Science - April 16, 1983, Flagstaff, Arizona | en_US |
dc.description.abstract | Arizona's water resources system consists primarily of four active management areas (Tucson, Phoenix, Pinal and Prescott), the Central Arizona Project, and the Salt River Project. The problem of water allocation among user categories involves pumping from aquifers and diversions of surface flows. In systems less complex than Arizona, allocation policies may appear obvious. In this case, however, a two-level hierarchical management model is proposed to control water allocation to users: the active management areas as a lower echelon, and the Arizona Department of Water Resources at the higher level. A system theoretic approach combined with recent developments in the decentralized control theory are proposed to be included in the model. A significant characteristic of the proposed model is the ability to consider possible interactions among the active management areas as a result of policy decisions at the State level. A dynamic optimization model based on a state space formulation with total energy required as the objective function is solved for each of the subsystems. Detailed information thus generated at the regional level is then appropriately aggregated for statewide decision making. An iterative algorithm is suggested. | |
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. | |
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.title | A Hierarchal Model for Arizona's Water Resources | en_US |
dc.type | text | en_US |
dc.type | Proceedings | en_US |
dc.contributor.department | Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 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 | 2018-08-30T08:55:41Z | |
html.description.abstract | Arizona's water resources system consists primarily of four active management areas (Tucson, Phoenix, Pinal and Prescott), the Central Arizona Project, and the Salt River Project. The problem of water allocation among user categories involves pumping from aquifers and diversions of surface flows. In systems less complex than Arizona, allocation policies may appear obvious. In this case, however, a two-level hierarchical management model is proposed to control water allocation to users: the active management areas as a lower echelon, and the Arizona Department of Water Resources at the higher level. A system theoretic approach combined with recent developments in the decentralized control theory are proposed to be included in the model. A significant characteristic of the proposed model is the ability to consider possible interactions among the active management areas as a result of policy decisions at the State level. A dynamic optimization model based on a state space formulation with total energy required as the objective function is solved for each of the subsystems. Detailed information thus generated at the regional level is then appropriately aggregated for statewide decision making. An iterative algorithm is suggested. |