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    Dynamic Influent Generator for Alternative Wastewater Management with Urine Source Separation

    Source: Journal of Sustainable Water in the Built Environment:;2020:;Volume ( 006 ):;issue: 002
    Author:
    Ana Barbara Bisinella de Faria
    ,
    Mathilde Besson
    ,
    Aras Ahmadi
    ,
    Kai M. Udert
    ,
    Mathieu Spérandio
    DOI: 10.1061/JSWBAY.0000904
    Publisher: ASCE
    Abstract: The simulation of wastewater treatment plants allows obtaining predictive results when one needs to understand, evaluate, optimize, or design a plant. However, one of the bottlenecks of simulation feasibility is to obtain reliable and dynamic influent data. This difficulty is even more important when alternative scenarios are considered, such as source-separated streams. The present paper offers an influent generator to simulate scenarios where urine is separated at the source and at a user-specified level of retention. The proposed tool contains several blocks to include different contributions (household and industrial wastewater) and, due to its flexibility, allows the user to easily modify the parameters to fit other case studies. The tool allowed generating dynamic, long-term, and predictive data for both urine and wastewater streams. Also, the extensive set of state variables ensured the generation of influents for different modeling platforms.
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      Dynamic Influent Generator for Alternative Wastewater Management with Urine Source Separation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264904
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    • Journal of Sustainable Water in the Built Environment

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    contributor authorAna Barbara Bisinella de Faria
    contributor authorMathilde Besson
    contributor authorAras Ahmadi
    contributor authorKai M. Udert
    contributor authorMathieu Spérandio
    date accessioned2022-01-30T19:13:58Z
    date available2022-01-30T19:13:58Z
    date issued2020
    identifier otherJSWBAY.0000904.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264904
    description abstractThe simulation of wastewater treatment plants allows obtaining predictive results when one needs to understand, evaluate, optimize, or design a plant. However, one of the bottlenecks of simulation feasibility is to obtain reliable and dynamic influent data. This difficulty is even more important when alternative scenarios are considered, such as source-separated streams. The present paper offers an influent generator to simulate scenarios where urine is separated at the source and at a user-specified level of retention. The proposed tool contains several blocks to include different contributions (household and industrial wastewater) and, due to its flexibility, allows the user to easily modify the parameters to fit other case studies. The tool allowed generating dynamic, long-term, and predictive data for both urine and wastewater streams. Also, the extensive set of state variables ensured the generation of influents for different modeling platforms.
    publisherASCE
    titleDynamic Influent Generator for Alternative Wastewater Management with Urine Source Separation
    typeJournal Paper
    journal volume6
    journal issue2
    journal titleJournal of Sustainable Water in the Built Environment
    identifier doi10.1061/JSWBAY.0000904
    page04020001
    treeJournal of Sustainable Water in the Built Environment:;2020:;Volume ( 006 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian