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    • Hydrology and Water Resources in Arizona and the Southwest, Volume 01 (1971)
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    Optimal Utilization of Playa Lake Water in Irrigation

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    Author
    Dvoracek, M. J.
    Roefs, T. G.
    Affiliation
    Hydrology & Water Resources, University of Arizona
    Issue Date
    1971-04-23
    Keywords
    Water resources development -- Arizona.
    Hydrology -- Arizona.
    Hydrology -- Southwestern states.
    Water resources development -- Southwestern states.
    Playas
    Water sources
    Dynamic programming
    Stochastic processes
    Rainfall
    Irrigation water
    Semiarid climates
    Model studies
    Mathematical models
    Crop response
    Timing
    Probability
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    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
    Playa lakes usually occur in arid or semiarid regions where lands are flat and there is an absence of well-developed surface drainage nets. They are usually filled by surface runoff from highly erratic precipitation patterns. There are about 20,000 of them in the high plains of Texas and their volume of storage is an estimated 2.5-3 maf. As such, they represent a major underutilized water source. The major drawbacks to their utilization are high evaporation losses, questionable depth-area relations and the stochastic nature of the rainfall source. This paper assumes that the water is available and presents a dynamic programming model useful in determining the optimal utilization of the water for irrigation. If irrigation is the major use, its timing of application is of paramount importance. A deterministic dynamic programming model, utilizing the state variables of antecedent soil moisture and amount of available water, is presented, and provides the time and amount of irrigation required to maximize crop response. A better stochastic model is also presented which considers rainfall probability and resulting lake filling. The models are only first attempts and do not incorporate all possible variables.
    ISSN
    0272-6106
    Collections
    Hydrology and Water Resources in Arizona and the Southwest, Volume 01 (1971)

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