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    Calibration and Verification of QUAL2E Using Genetic Algorithm Optimization

    Source: Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 002
    Author:
    Recep Kaya Goktas
    ,
    Aysegul Aksoy
    DOI: 10.1061/(ASCE)0733-9496(2007)133:2(126)
    Publisher: American Society of Civil Engineers
    Abstract: In this study, the QUAL2E model is linked with a genetic algorithm (GA) in order to conduct the calibration and verification of the model. The efficacy of the optimization model was tested for different observation data quality represented by the perfect and noisy data assumptions. Four cases were studied. In the first (base) case, calibration was conducted for the reach-variable reaeration coefficient
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      Calibration and Verification of QUAL2E Using Genetic Algorithm Optimization

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    http://yetl.yabesh.ir/yetl1/handle/yetl/40062
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    contributor authorRecep Kaya Goktas
    contributor authorAysegul Aksoy
    date accessioned2017-05-08T21:08:12Z
    date available2017-05-08T21:08:12Z
    date copyrightMarch 2007
    date issued2007
    identifier other%28asce%290733-9496%282007%29133%3A2%28126%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/40062
    description abstractIn this study, the QUAL2E model is linked with a genetic algorithm (GA) in order to conduct the calibration and verification of the model. The efficacy of the optimization model was tested for different observation data quality represented by the perfect and noisy data assumptions. Four cases were studied. In the first (base) case, calibration was conducted for the reach-variable reaeration coefficient
    publisherAmerican Society of Civil Engineers
    titleCalibration and Verification of QUAL2E Using Genetic Algorithm Optimization
    typeJournal Paper
    journal volume133
    journal issue2
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(2007)133:2(126)
    treeJournal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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