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    Reservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 009
    Author:
    Haiyan Jiang
    ,
    Zhongbo Yu
    ,
    Chongxun Mo
    DOI: 10.1061/(ASCE)HE.1943-5584.0001151
    Publisher: American Society of Civil Engineers
    Abstract: A flood season segmentation-based reservoir optimal operation framework was proposed to maximize the use of the flood control storage in flood seasons. The proposed framework consists of an ensemble-method approach to segment the flood season for improved reservoir operation, a stochastic simulation model to generate abundant inflow hydrographs, and a Monte Carlo technique to calculate the failure probabilities of flood regulation under different given flood-limiting water levels (FLWLs). The benefits of the proposed framework were illustrated through the operation of Chengbihe Reservoir in China. Results indicate that an ensemble-method approach of a fuzzy clustering method, a probability change-point analysis, and a statistical graphical technique provide more reasonable segmentations than that of an individual method alone. The flood season of the Chengbihe Reservoir is segmented into an early flood season (April 1–May 31), a main flood season (June 1–August 20), and a late flood season (August 21–October 31). The FLWL in the main flood season remains to be the value currently in use (185.00 m), whereas the FLWL in the late flood season can be lifted maximally up to 188.50 m, which is equivalent to an increase of the active storage by
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      Reservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels

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    http://yetl.yabesh.ir/yetl1/handle/yetl/79034
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    contributor authorHaiyan Jiang
    contributor authorZhongbo Yu
    contributor authorChongxun Mo
    date accessioned2017-05-08T22:22:33Z
    date available2017-05-08T22:22:33Z
    date copyrightSeptember 2015
    date issued2015
    identifier other43575676.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/79034
    description abstractA flood season segmentation-based reservoir optimal operation framework was proposed to maximize the use of the flood control storage in flood seasons. The proposed framework consists of an ensemble-method approach to segment the flood season for improved reservoir operation, a stochastic simulation model to generate abundant inflow hydrographs, and a Monte Carlo technique to calculate the failure probabilities of flood regulation under different given flood-limiting water levels (FLWLs). The benefits of the proposed framework were illustrated through the operation of Chengbihe Reservoir in China. Results indicate that an ensemble-method approach of a fuzzy clustering method, a probability change-point analysis, and a statistical graphical technique provide more reasonable segmentations than that of an individual method alone. The flood season of the Chengbihe Reservoir is segmented into an early flood season (April 1–May 31), a main flood season (June 1–August 20), and a late flood season (August 21–October 31). The FLWL in the main flood season remains to be the value currently in use (185.00 m), whereas the FLWL in the late flood season can be lifted maximally up to 188.50 m, which is equivalent to an increase of the active storage by
    publisherAmerican Society of Civil Engineers
    titleReservoir Flood Season Segmentation and Optimal Operation of Flood-Limiting Water Levels
    typeJournal Paper
    journal volume20
    journal issue9
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001151
    treeJournal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 009
    contenttypeFulltext
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