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    Randomness and Stochastic Modeling of Combined Sewer Overflows

    Source: Journal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006::page 04026020-1
    Author:
    Gibson, John
    ,
    Arhonditsis, George
    ,
    Berkelaar, Edward
    ,
    Farnood, Ramin
    DOI: 10.1061/JOEEDU.EEENG-8225
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study presents a modeling framework to estimate the phosphorus load from combined sewer overflows (CSOs). Surprisingly, CSO discharge volumes at this site were nearly random and poorly correlated with rainfall. Rainfall was a good predictor ...Practical ApplicationsMost models to quantify combined sewer overflow pollution are deterministic [e.g., stormwater management model (SWMM)]. Any given set of model inputs (e.g., rainfall, land use, pipe configuration, etc.) always produces the same ...
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      Randomness and Stochastic Modeling of Combined Sewer Overflows

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312832
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    • Journal of Environmental Engineering

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    contributor authorGibson, John
    contributor authorArhonditsis, George
    contributor authorBerkelaar, Edward
    contributor authorFarnood, Ramin
    date accessioned2026-08-20T11:54:39Z
    date available2026-08-20T11:54:39Z
    date copyright2026/03/30
    date issued2026
    identifier otherJOEEDU.EEENG-8225.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312832
    description abstractAbstractThis study presents a modeling framework to estimate the phosphorus load from combined sewer overflows (CSOs). Surprisingly, CSO discharge volumes at this site were nearly random and poorly correlated with rainfall. Rainfall was a good predictor ...Practical ApplicationsMost models to quantify combined sewer overflow pollution are deterministic [e.g., stormwater management model (SWMM)]. Any given set of model inputs (e.g., rainfall, land use, pipe configuration, etc.) always produces the same ...
    publisherAmerican Society of Civil Engineers
    titleRandomness and Stochastic Modeling of Combined Sewer Overflows
    typeJournal Article
    journal volume152
    journal issue6
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/JOEEDU.EEENG-8225
    journal fristpage04026020-1
    journal lastpage04026020-8
    page8
    treeJournal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006
    contenttypeFulltext
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