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    River Basin Network Model for Integrated Water Quantity/Quality Management

    Source: Journal of Water Resources Planning and Management:;2001:;Volume ( 127 ):;issue: 005
    Author:
    Tewei Dai
    ,
    John W. Labadie
    DOI: 10.1061/(ASCE)0733-9496(2001)127:5(295)
    Publisher: American Society of Civil Engineers
    Abstract: The MODSIM river basin network flow model is extended to directly incorporate constraints on concentrations of conservative water quality constituents. The extended model MODSIMQ is linked with the U.S. Environmental Protection Agency's QUAL2E streamflow water quality model and a model for estimating quality of irrigation return flows. An iterative procedure based on the Frank-Wolfe nonlinear programming algorithm links MODSIMQ and the water quality models to assure convergence to solutions satisfying water right priorities, while attempting to maintain minimum water quality requirements. Irrigation return flows, canal seepage, reservoir seepage, deep percolation, and river depletion due to groundwater pumping are modeled using stream depletion factors from the U.S. Geological Survey. Application of MODSIMQ to the lower Arkansas River basin in Colorado successfully models the complex legal and administrative issues under Colorado water law and the Arkansas River Compact, including the many water exchange mechanisms governing use of off-stream reservoirs in the basin. Model calibration exercises conducted for the case study area confirm that MODSIMQ reasonably reproduces both historical flows and salinity levels for the calibration period. Results from various management scenarios indicate that appropriate conjunctive use of surface and groundwater can simultaneously satisfy water demands for users while enhancing control of salinization.
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      River Basin Network Model for Integrated Water Quantity/Quality Management

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    http://yetl.yabesh.ir/yetl1/handle/yetl/39714
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    • Journal of Water Resources Planning and Management

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    contributor authorTewei Dai
    contributor authorJohn W. Labadie
    date accessioned2017-05-08T21:07:42Z
    date available2017-05-08T21:07:42Z
    date copyrightOctober 2001
    date issued2001
    identifier other%28asce%290733-9496%282001%29127%3A5%28295%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39714
    description abstractThe MODSIM river basin network flow model is extended to directly incorporate constraints on concentrations of conservative water quality constituents. The extended model MODSIMQ is linked with the U.S. Environmental Protection Agency's QUAL2E streamflow water quality model and a model for estimating quality of irrigation return flows. An iterative procedure based on the Frank-Wolfe nonlinear programming algorithm links MODSIMQ and the water quality models to assure convergence to solutions satisfying water right priorities, while attempting to maintain minimum water quality requirements. Irrigation return flows, canal seepage, reservoir seepage, deep percolation, and river depletion due to groundwater pumping are modeled using stream depletion factors from the U.S. Geological Survey. Application of MODSIMQ to the lower Arkansas River basin in Colorado successfully models the complex legal and administrative issues under Colorado water law and the Arkansas River Compact, including the many water exchange mechanisms governing use of off-stream reservoirs in the basin. Model calibration exercises conducted for the case study area confirm that MODSIMQ reasonably reproduces both historical flows and salinity levels for the calibration period. Results from various management scenarios indicate that appropriate conjunctive use of surface and groundwater can simultaneously satisfy water demands for users while enhancing control of salinization.
    publisherAmerican Society of Civil Engineers
    titleRiver Basin Network Model for Integrated Water Quantity/Quality Management
    typeJournal Paper
    journal volume127
    journal issue5
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(2001)127:5(295)
    treeJournal of Water Resources Planning and Management:;2001:;Volume ( 127 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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