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    Simulation/Optimization Modeling for Water Resources Management

    Source: Journal of Water Resources Planning and Management:;1999:;Volume ( 125 ):;issue: 003
    Author:
    Getachew Belaineh
    ,
    Richard C. Peralta
    ,
    Trevor C. Hughes
    DOI: 10.1061/(ASCE)0733-9496(1999)125:3(154)
    Publisher: American Society of Civil Engineers
    Abstract: Many important advances have been made in the development of mathematical models for conjunctive water management and reservoir management. However, the conjunctive use models that have detailed stream/aquifer system interactions have not considered reservoir management rules. Conversely, reservoir management models have not simulated stream/aquifer interactions in detail. There is a need for enhanced linking of reservoir and stream/aquifer systems in conjunctive water management models. This paper presents a simulation/optimization model that integrates linear reservoir decision rules, detailed simulations of stream/aquifer system flows, conjunctive use of surface and ground water, and delivery via branching canals to water users. The linear decision rule is an example of a rule that has been widely discussed in reservoir operation literature and is simple to program. State variables, including aquifer hydraulic head, streamflow, and surface water/aquifer interflow, are represented through discretized convolution integrals and influence coefficients. Reservoir storage and branching canal flows and interflows are represented using embedded continuity equations. Results of model application to a hypothetical study area under several scenarios indicate that the more detail used to represent the physical system, the better the conjunctive management. The most detailed representation provides 13% more water than the least detailed system.
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      Simulation/Optimization Modeling for Water Resources Management

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    contributor authorGetachew Belaineh
    contributor authorRichard C. Peralta
    contributor authorTrevor C. Hughes
    date accessioned2017-05-08T21:07:31Z
    date available2017-05-08T21:07:31Z
    date copyrightMay 1999
    date issued1999
    identifier other%28asce%290733-9496%281999%29125%3A3%28154%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39578
    description abstractMany important advances have been made in the development of mathematical models for conjunctive water management and reservoir management. However, the conjunctive use models that have detailed stream/aquifer system interactions have not considered reservoir management rules. Conversely, reservoir management models have not simulated stream/aquifer interactions in detail. There is a need for enhanced linking of reservoir and stream/aquifer systems in conjunctive water management models. This paper presents a simulation/optimization model that integrates linear reservoir decision rules, detailed simulations of stream/aquifer system flows, conjunctive use of surface and ground water, and delivery via branching canals to water users. The linear decision rule is an example of a rule that has been widely discussed in reservoir operation literature and is simple to program. State variables, including aquifer hydraulic head, streamflow, and surface water/aquifer interflow, are represented through discretized convolution integrals and influence coefficients. Reservoir storage and branching canal flows and interflows are represented using embedded continuity equations. Results of model application to a hypothetical study area under several scenarios indicate that the more detail used to represent the physical system, the better the conjunctive management. The most detailed representation provides 13% more water than the least detailed system.
    publisherAmerican Society of Civil Engineers
    titleSimulation/Optimization Modeling for Water Resources Management
    typeJournal Paper
    journal volume125
    journal issue3
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(1999)125:3(154)
    treeJournal of Water Resources Planning and Management:;1999:;Volume ( 125 ):;issue: 003
    contenttypeFulltext
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