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    Assessing Countermeasure Effectiveness in Controlling Cyanobacterial Exceedance in Riverine Systems Using Probabilistic Forecasting Alternatives

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 010::page 04021062-1
    Author:
    Seungbeom Kim
    ,
    Raj Mehrotra
    ,
    Seokhyeon Kim
    ,
    Ashish Sharma
    DOI: 10.1061/(ASCE)WR.1943-5452.0001449
    Publisher: ASCE
    Abstract: Cyanobacterial blooms are expected to be more frequent over time as more favorable environmental conditions are created in a warming climate. This study proposes strategies to effectively mitigate/reduce the concentration of cyanobacterial blooms based on probabilistic modeling. The model adopted in this study is a probabilistic forecasting model of cyanobacteria cell counts that uses two dominant variables contributing to cyanobacterial bloom in a river: water temperature (T) and water velocity (V). Both T and V can be manipulated by controlling the upstream flow in the river through altering reservoir operations, thereby changing water release downstream. We test and evaluate a variety of discharge scenarios in two river systems in South Korea. Our findings suggest that releasing cold dam water is quite effective in suppressing cyanobacterial bloom growth. We extend the analysis by also including the cost of each operation and conducting a cost–benefit analysis. Following this, we propose response scenarios for each river system by which optimal proactive actions can be taken according to river conditions.
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      Assessing Countermeasure Effectiveness in Controlling Cyanobacterial Exceedance in Riverine Systems Using Probabilistic Forecasting Alternatives

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4272867
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    contributor authorSeungbeom Kim
    contributor authorRaj Mehrotra
    contributor authorSeokhyeon Kim
    contributor authorAshish Sharma
    date accessioned2022-02-01T22:13:29Z
    date available2022-02-01T22:13:29Z
    date issued10/1/2021
    identifier other%28ASCE%29WR.1943-5452.0001449.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272867
    description abstractCyanobacterial blooms are expected to be more frequent over time as more favorable environmental conditions are created in a warming climate. This study proposes strategies to effectively mitigate/reduce the concentration of cyanobacterial blooms based on probabilistic modeling. The model adopted in this study is a probabilistic forecasting model of cyanobacteria cell counts that uses two dominant variables contributing to cyanobacterial bloom in a river: water temperature (T) and water velocity (V). Both T and V can be manipulated by controlling the upstream flow in the river through altering reservoir operations, thereby changing water release downstream. We test and evaluate a variety of discharge scenarios in two river systems in South Korea. Our findings suggest that releasing cold dam water is quite effective in suppressing cyanobacterial bloom growth. We extend the analysis by also including the cost of each operation and conducting a cost–benefit analysis. Following this, we propose response scenarios for each river system by which optimal proactive actions can be taken according to river conditions.
    publisherASCE
    titleAssessing Countermeasure Effectiveness in Controlling Cyanobacterial Exceedance in Riverine Systems Using Probabilistic Forecasting Alternatives
    typeJournal Paper
    journal volume147
    journal issue10
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0001449
    journal fristpage04021062-1
    journal lastpage04021062-9
    page9
    treeJournal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 010
    contenttypeFulltext
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