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dc.contributor.authorHampton, Norman Foster,1941-
dc.creatorHampton, Norman Foster,1941-en_US
dc.date.accessioned2011-11-28T13:59:17Z
dc.date.available2011-11-28T13:59:17Z
dc.date.issued1973en_US
dc.identifier.urihttp://hdl.handle.net/10150/191583
dc.description.abstractThe civil planning process has evolved in a way that has increased its depth without adequately increasing its breadth. Correspondingly, the planner has been provided with tools that constrict his ability to be responsive to societal requirements. The ramifications of this failure are becoming ever more evident. In many cases, it can be shown that modern technology has been applied without comprehensive rationality and caution so that the environment has been degraded and its habitability decreased. Likewise, other attributes of social welfare have been inadvertently debased by too narrow-minded decision making made in attempts to move forward. Stated briefly, the primary objective addressed by this study consists of expanding the scope of water resources development planning. However, the responsiveness, cost, and quality of that process are also of concern here. The primary objective is accomplished by identifying an all inclusive set of social goals and a set of measurable parameters which can be used to reflect the degree of attainment of those goals. Relating the two domains has been effected by applying functions derived via a procedure known as the Delphi process. The computerized product of the above efforts provides the planner with a responsive information access capability, a methodology for aggregating a very large number of data elements into a very few, and an analysis technique for comparing alternative proposals.
dc.language.isoenen_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.subjectHydrology.
dc.subjectRegional planning -- Mathematical models.
dc.subjectDecision making -- Mathematical models.
dc.titleA computerized methodology for multiobjective analyses as an aid to resource development planning.en_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairRoefs, Theodore G.en_US
dc.identifier.oclc212745865en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-04-25T21:29:53Z
html.description.abstractThe civil planning process has evolved in a way that has increased its depth without adequately increasing its breadth. Correspondingly, the planner has been provided with tools that constrict his ability to be responsive to societal requirements. The ramifications of this failure are becoming ever more evident. In many cases, it can be shown that modern technology has been applied without comprehensive rationality and caution so that the environment has been degraded and its habitability decreased. Likewise, other attributes of social welfare have been inadvertently debased by too narrow-minded decision making made in attempts to move forward. Stated briefly, the primary objective addressed by this study consists of expanding the scope of water resources development planning. However, the responsiveness, cost, and quality of that process are also of concern here. The primary objective is accomplished by identifying an all inclusive set of social goals and a set of measurable parameters which can be used to reflect the degree of attainment of those goals. Relating the two domains has been effected by applying functions derived via a procedure known as the Delphi process. The computerized product of the above efforts provides the planner with a responsive information access capability, a methodology for aggregating a very large number of data elements into a very few, and an analysis technique for comparing alternative proposals.


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