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    Pollutant Load Estimates Using Regression Models with In-Stream Measurements

    Source: Journal of Environmental Engineering:;2016:;Volume ( 142 ):;issue: 003
    Author:
    Jake R. Fisher
    ,
    Bruce I. Dvorak
    ,
    David M. Admiraal
    DOI: 10.1061/(ASCE)EE.1943-7870.0001049
    Publisher: American Society of Civil Engineers
    Abstract: A continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (
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      Pollutant Load Estimates Using Regression Models with In-Stream Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/82433
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    contributor authorJake R. Fisher
    contributor authorBruce I. Dvorak
    contributor authorDavid M. Admiraal
    date accessioned2017-05-08T22:32:59Z
    date available2017-05-08T22:32:59Z
    date copyrightMarch 2016
    date issued2016
    identifier other49243341.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82433
    description abstractA continuous in-stream water quality measurement (CWQ) study was carried out in two Lincoln, Nebraska urban watersheds. Discrete stormwater samples were collected at the study sites during 17 storm runoff events over a three-year period. In-stream flow and water quality (e.g., turbidity) measurements were combined with climatic data to develop multiple-linear regression (MLR) models for the estimation of six stormwater pollutant concentrations [i.e., total suspended solids (TSS), soluble reactive phosphorus (SRP), total phosphorus (TP), nitrate plus nitrite-nitrogen (
    publisherAmerican Society of Civil Engineers
    titlePollutant Load Estimates Using Regression Models with In-Stream Measurements
    typeJournal Paper
    journal volume142
    journal issue3
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0001049
    treeJournal of Environmental Engineering:;2016:;Volume ( 142 ):;issue: 003
    contenttypeFulltext
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