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    Probability Model of Stream Quality Due to Runoff

    Source: Journal of Environmental Engineering:;1984:;Volume ( 110 ):;issue: 003
    Author:
    Dominic M. Di Toro
    DOI: 10.1061/(ASCE)0733-9372(1984)110:3(607)
    Publisher: American Society of Civil Engineers
    Abstract: The analysis of the water quality response of a stream receiving intermittent storm runoff is addressed within a probabilistic framework. Lognormally distributed runoff and stream flows and concentrations are assumed and cross correlations are explicitly included in the exact solution method. An approximate moment method is suggested which is suitable for rapid screening analyses. Both solutions can be used to provide a first level of analysis before embarking upon detailed time variable or Monte Carlo simulations.
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      Probability Model of Stream Quality Due to Runoff

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    contributor authorDominic M. Di Toro
    date accessioned2017-05-08T20:54:59Z
    date available2017-05-08T20:54:59Z
    date copyrightJune 1984
    date issued1984
    identifier other%28asce%290733-9372%281984%29110%3A3%28607%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/31621
    description abstractThe analysis of the water quality response of a stream receiving intermittent storm runoff is addressed within a probabilistic framework. Lognormally distributed runoff and stream flows and concentrations are assumed and cross correlations are explicitly included in the exact solution method. An approximate moment method is suggested which is suitable for rapid screening analyses. Both solutions can be used to provide a first level of analysis before embarking upon detailed time variable or Monte Carlo simulations.
    publisherAmerican Society of Civil Engineers
    titleProbability Model of Stream Quality Due to Runoff
    typeJournal Paper
    journal volume110
    journal issue3
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(1984)110:3(607)
    treeJournal of Environmental Engineering:;1984:;Volume ( 110 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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