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    Global Identification of Surface Irrigation Parameters

    Source: Journal of Irrigation and Drainage Engineering:;1998:;Volume ( 124 ):;issue: 003
    Author:
    Scott A. Yost
    ,
    Nikolaos D. Katopodes
    DOI: 10.1061/(ASCE)0733-9437(1998)124:3(131)
    Publisher: American Society of Civil Engineers
    Abstract: A numerical method is developed for the identification of bed resistance and infiltration parameters in surface irrigation based on global procedures. The method is characterized by global convergence—a unique solution from any feasible set of initial parameter estimates, which is not possible for standard variable metric methods. The algorithm is applied to border irrigation described by the zero-inertia model and is used to produce three-dimensional maps of the convergence history of some well-known field observations. Additional enhancements regarding parameter scaling, gradient modification, and combination with a Gauss-Newton method yield a robust and efficient algorithm that can be applied to a variety of practical problems.
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      Global Identification of Surface Irrigation Parameters

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    https://yetl.yabesh.ir/yetl1/handle/yetl/27857
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    contributor authorScott A. Yost
    contributor authorNikolaos D. Katopodes
    date accessioned2017-05-08T20:48:51Z
    date available2017-05-08T20:48:51Z
    date copyrightMay 1998
    date issued1998
    identifier other%28asce%290733-9437%281998%29124%3A3%28131%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/27857
    description abstractA numerical method is developed for the identification of bed resistance and infiltration parameters in surface irrigation based on global procedures. The method is characterized by global convergence—a unique solution from any feasible set of initial parameter estimates, which is not possible for standard variable metric methods. The algorithm is applied to border irrigation described by the zero-inertia model and is used to produce three-dimensional maps of the convergence history of some well-known field observations. Additional enhancements regarding parameter scaling, gradient modification, and combination with a Gauss-Newton method yield a robust and efficient algorithm that can be applied to a variety of practical problems.
    publisherAmerican Society of Civil Engineers
    titleGlobal Identification of Surface Irrigation Parameters
    typeJournal Paper
    journal volume124
    journal issue3
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)0733-9437(1998)124:3(131)
    treeJournal of Irrigation and Drainage Engineering:;1998:;Volume ( 124 ):;issue: 003
    contenttypeFulltext
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