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    Application of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model

    Source: Journal of Irrigation and Drainage Engineering:;2013:;Volume ( 139 ):;issue: 001
    Author:
    Dongquan Zhao
    ,
    Jining Chen
    ,
    Haozheng Wang
    ,
    Qingyuan Tong
    DOI: 10.1061/(ASCE)IR.1943-4774.0000522
    Publisher: American Society of Civil Engineers
    Abstract: Urban rainfall-runoff modeling is important to analyze the health of urban water systems. The Storm Water Management Model (SWMM) developed by the U.S. Environmental Protection Agency (USEPA) is one of the most widely used rainfall-runoff models. In this paper, SWMM was integrated with a sampling based on a combined objective, aiming at (1) reducing the uncertainty of model parameters distribution in the sampling-based method, and (2) reducing uncertainty bounds of model outputs to obtain more accurate predictions. The Latin hypercube sampling (LHS) method was selected as the sampling strategy, and the Nash-Sutcliffe (NS) coefficient, correlation coefficient (
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      Application of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/65434
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    contributor authorDongquan Zhao
    contributor authorJining Chen
    contributor authorHaozheng Wang
    contributor authorQingyuan Tong
    date accessioned2017-05-08T21:53:19Z
    date available2017-05-08T21:53:19Z
    date copyrightJanuary 2013
    date issued2013
    identifier other%28asce%29ir%2E1943-4774%2E0000551.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/65434
    description abstractUrban rainfall-runoff modeling is important to analyze the health of urban water systems. The Storm Water Management Model (SWMM) developed by the U.S. Environmental Protection Agency (USEPA) is one of the most widely used rainfall-runoff models. In this paper, SWMM was integrated with a sampling based on a combined objective, aiming at (1) reducing the uncertainty of model parameters distribution in the sampling-based method, and (2) reducing uncertainty bounds of model outputs to obtain more accurate predictions. The Latin hypercube sampling (LHS) method was selected as the sampling strategy, and the Nash-Sutcliffe (NS) coefficient, correlation coefficient (
    publisherAmerican Society of Civil Engineers
    titleApplication of a Sampling Based on the Combined Objectives of Parameter Identification and Uncertainty Analysis of an Urban Rainfall-Runoff Model
    typeJournal Paper
    journal volume139
    journal issue1
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)IR.1943-4774.0000522
    treeJournal of Irrigation and Drainage Engineering:;2013:;Volume ( 139 ):;issue: 001
    contenttypeFulltext
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