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    A CONTINUOUS REVIEW INVENTORY MODEL FOR IRRIGATION WATER APPLICATION

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    Author
    Cali, Mary Alice,1951-
    Affiliation
    Department of Hydrology & Water Resources, The University of Arizona
    Issue Date
    1975-05
    Keywords
    Irrigation -- Mathematical models.
    Computer Simulation
    
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    Publisher
    Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ)
    Rights
    Copyright © Arizona Board of Regents
    Collection Information
    This title from the Hydrology & Water Resources Technical Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona. If you have questions about titles in this collection, please contact repository@u.library.arizona.edu.
    Abstract
    This thesis is concerned with the problem of determining an optimal irrigation policy, that is, an optimal quantity and frequency of irrigation water application. The purpose is to present a solution to this problem using a continuous review model of an inventory system. Initially, the functions of the plant -water -soil system are discussed. This is followed by a review of several existing methods for maximizing crop yield or profit by determining an optimal irrigation policy. Next, the inventory problem is briefly examined. An analogy is drawn between the farmer's problem of determining an optimal irrigation policy and the businessman's problem of determining an optimal ordering policy. Subsequently, a continuous review model of the irrigation system is developed and an example of its use is given.
    Series/Report no.
    Technical Reports on Hydrology and Water Resources, No. 25
    Sponsors
    The work upon which this thesis is based was supported in part by funds provided by the United States Department of the Interior, Office of Water Resources Research, as authorized under the Water Resources Research Act of 1964, Grant No. B-032AZ, entitled "Decision Analysis for Watershed Management Alternatives," as well as by the National Science Foundation Grant No. GK-35791, entitled "Practical Use of Bayesian Decision Theory in Engineering and Hydrology."
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