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    Support of Total Maximum Daily Load Programs Using Spatially Referenced Regression Models

    Source: Journal of Water Resources Planning and Management:;2003:;Volume ( 129 ):;issue: 004
    Author:
    Gerard McMahon
    ,
    Richard B. Alexander
    ,
    Song Qian
    DOI: 10.1061/(ASCE)0733-9496(2003)129:4(315)
    Publisher: American Society of Civil Engineers
    Abstract: The spatially referenced regressions on watershed attributes modeling approach, as applied to predictions of total nitrogen flux in three North Carolina river basins, addresses several information needs identified by a National Research Council evaluation of the total maximum daily load program. The model provides reach-level predictions of the probability of exceeding water-quality criteria, and estimates of total nitrogen budgets. Model estimates of point- and diffuse-source contributions and nitrogen loss rates in streams and reservoirs compared moderately well with literature estimates. Maps of reach-level predictions of nutrient inputs and delivery provide an intuitive and spatially detailed summary of the origins and fate of nutrients within a basin.
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      Support of Total Maximum Daily Load Programs Using Spatially Referenced Regression Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/39836
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    contributor authorGerard McMahon
    contributor authorRichard B. Alexander
    contributor authorSong Qian
    date accessioned2017-05-08T21:07:53Z
    date available2017-05-08T21:07:53Z
    date copyrightJuly 2003
    date issued2003
    identifier other%28asce%290733-9496%282003%29129%3A4%28315%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39836
    description abstractThe spatially referenced regressions on watershed attributes modeling approach, as applied to predictions of total nitrogen flux in three North Carolina river basins, addresses several information needs identified by a National Research Council evaluation of the total maximum daily load program. The model provides reach-level predictions of the probability of exceeding water-quality criteria, and estimates of total nitrogen budgets. Model estimates of point- and diffuse-source contributions and nitrogen loss rates in streams and reservoirs compared moderately well with literature estimates. Maps of reach-level predictions of nutrient inputs and delivery provide an intuitive and spatially detailed summary of the origins and fate of nutrients within a basin.
    publisherAmerican Society of Civil Engineers
    titleSupport of Total Maximum Daily Load Programs Using Spatially Referenced Regression Models
    typeJournal Paper
    journal volume129
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)0733-9496(2003)129:4(315)
    treeJournal of Water Resources Planning and Management:;2003:;Volume ( 129 ):;issue: 004
    contenttypeFulltext
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