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    Estimation of Annual Pollutant Loads under Wet-Weather Conditions

    Source: Journal of Hydrologic Engineering:;1997:;Volume ( 002 ):;issue: 004
    Author:
    Ashok Pandit
    ,
    Ganesh Gopalakrishnan
    DOI: 10.1061/(ASCE)1084-0699(1997)2:4(211)
    Publisher: American Society of Civil Engineers
    Abstract: The Continuous Simulation Method (CSM) has been used to predict average annual total nitrogen storm-water loads, under wet-weather conditions, for various sites in Tampa, Florida. Predicted loads are compared to those predicted by other existing “spreadsheet” models, namely the Storm Water Management Model (SWMM) Level I—Preliminary Screening Procedure, the Simple Method, and the U.S. Geological Survey (USGS) Regression Model. Comparisons showed that the USGS Regression Model predictions were vastly different from those of the other models. The predictions by SWMM Level I, the Simple Method, and the CSM were closer, although there were substantial differences under certain conditions. Of the four models, the CSM provides the greatest flexibility to a model user; it has the capability to (1) model different soil types within a watershed; (2) model loading variations due to geographical (location) and demographic (land use and cover) differences between watersheds; and (3) simulate confidence intervals around the predicted average annual loads.
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      Estimation of Annual Pollutant Loads under Wet-Weather Conditions

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    http://yetl.yabesh.ir/yetl1/handle/yetl/49392
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    • Journal of Hydrologic Engineering

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    contributor authorAshok Pandit
    contributor authorGanesh Gopalakrishnan
    date accessioned2017-05-08T21:23:07Z
    date available2017-05-08T21:23:07Z
    date copyrightOctober 1997
    date issued1997
    identifier other%28asce%291084-0699%281997%292%3A4%28211%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/49392
    description abstractThe Continuous Simulation Method (CSM) has been used to predict average annual total nitrogen storm-water loads, under wet-weather conditions, for various sites in Tampa, Florida. Predicted loads are compared to those predicted by other existing “spreadsheet” models, namely the Storm Water Management Model (SWMM) Level I—Preliminary Screening Procedure, the Simple Method, and the U.S. Geological Survey (USGS) Regression Model. Comparisons showed that the USGS Regression Model predictions were vastly different from those of the other models. The predictions by SWMM Level I, the Simple Method, and the CSM were closer, although there were substantial differences under certain conditions. Of the four models, the CSM provides the greatest flexibility to a model user; it has the capability to (1) model different soil types within a watershed; (2) model loading variations due to geographical (location) and demographic (land use and cover) differences between watersheds; and (3) simulate confidence intervals around the predicted average annual loads.
    publisherAmerican Society of Civil Engineers
    titleEstimation of Annual Pollutant Loads under Wet-Weather Conditions
    typeJournal Paper
    journal volume2
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(1997)2:4(211)
    treeJournal of Hydrologic Engineering:;1997:;Volume ( 002 ):;issue: 004
    contenttypeFulltext
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