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    Optimal Distribution and Control of Storage Tank to Mitigate the Impact of New Developments on Receiving Water Quality

    Source: Journal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 003
    Author:
    Guangtao Fu
    ,
    Soon-Thiam Khu
    ,
    David Butler
    DOI: 10.1061/(ASCE)EE.1943-7870.0000161
    Publisher: American Society of Civil Engineers
    Abstract: Storage tanks are commonly installed in a combined sewer system to control the discharge of combined sewer overflows that have been identified as a leading source for receiving water pollution. The traditional approach to determine the distribution of storage tank volume in the sewer system is confined to the use of objectives within the system itself due to the limits of separate modeling of urban wastewater systems, consisting of the sewer system, wastewater-treatment plant, and receiving water. The aim of this study is to investigate the optimal distribution and control of storage tanks with an objective to mitigate the impact of new residential development on receiving water quality from an integrated modeling perspective. An integrated urban wastewater model has been used to test three optimization scenarios: optimal flow rate control, storage distribution, and a combination of these two. In addition to the cost of storage tank construction, two receiving water quality indicators, dissolved oxygen and ammonium concentration, are used as optimization objectives. Results show the benefits of direct evaluation of receiving water quality impact in the context of storage distribution optimization. Results indicate that storage allocation should be considered in conjunction with optimal flow rate control to achieve the maximum effectiveness in water pollution mitigation.
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      Optimal Distribution and Control of Storage Tank to Mitigate the Impact of New Developments on Receiving Water Quality

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/59567
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    • Journal of Environmental Engineering

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    contributor authorGuangtao Fu
    contributor authorSoon-Thiam Khu
    contributor authorDavid Butler
    date accessioned2017-05-08T21:41:33Z
    date available2017-05-08T21:41:33Z
    date copyrightMarch 2010
    date issued2010
    identifier other%28asce%29ee%2E1943-7870%2E0000170.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59567
    description abstractStorage tanks are commonly installed in a combined sewer system to control the discharge of combined sewer overflows that have been identified as a leading source for receiving water pollution. The traditional approach to determine the distribution of storage tank volume in the sewer system is confined to the use of objectives within the system itself due to the limits of separate modeling of urban wastewater systems, consisting of the sewer system, wastewater-treatment plant, and receiving water. The aim of this study is to investigate the optimal distribution and control of storage tanks with an objective to mitigate the impact of new residential development on receiving water quality from an integrated modeling perspective. An integrated urban wastewater model has been used to test three optimization scenarios: optimal flow rate control, storage distribution, and a combination of these two. In addition to the cost of storage tank construction, two receiving water quality indicators, dissolved oxygen and ammonium concentration, are used as optimization objectives. Results show the benefits of direct evaluation of receiving water quality impact in the context of storage distribution optimization. Results indicate that storage allocation should be considered in conjunction with optimal flow rate control to achieve the maximum effectiveness in water pollution mitigation.
    publisherAmerican Society of Civil Engineers
    titleOptimal Distribution and Control of Storage Tank to Mitigate the Impact of New Developments on Receiving Water Quality
    typeJournal Paper
    journal volume136
    journal issue3
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0000161
    treeJournal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 003
    contenttypeFulltext
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