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    Performance Modeling of Storm Water Best Management Practices with Uncertainty Analysis

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 004
    Author:
    Daeryong Park
    ,
    Jim C. Loftis
    ,
    Larry A. Roesner
    DOI: 10.1061/(ASCE)HE.1943-5584.0000323
    Publisher: American Society of Civil Engineers
    Abstract: The performance of storm water best management practices (BMPs) contains many uncertainties that make predicting BMP performance difficult. The objective of this study is to build a BMP performance model that incorporates uncertainty analysis and to evaluate this model using observed total suspended solids (TSS) from detention basin data sets in the International Stormwater BMP Database. The representative storage-treatment performance model, the
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      Performance Modeling of Storm Water Best Management Practices with Uncertainty Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/63196
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    contributor authorDaeryong Park
    contributor authorJim C. Loftis
    contributor authorLarry A. Roesner
    date accessioned2017-05-08T21:48:53Z
    date available2017-05-08T21:48:53Z
    date copyrightApril 2011
    date issued2011
    identifier other%28asce%29he%2E1943-5584%2E0000343.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63196
    description abstractThe performance of storm water best management practices (BMPs) contains many uncertainties that make predicting BMP performance difficult. The objective of this study is to build a BMP performance model that incorporates uncertainty analysis and to evaluate this model using observed total suspended solids (TSS) from detention basin data sets in the International Stormwater BMP Database. The representative storage-treatment performance model, the
    publisherAmerican Society of Civil Engineers
    titlePerformance Modeling of Storm Water Best Management Practices with Uncertainty Analysis
    typeJournal Paper
    journal volume16
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000323
    treeJournal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 004
    contenttypeFulltext
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