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    pH and Acid Anion Time Trends in Different Elevation Ranges in the Great Smoky Mountains National Park

    Source: Journal of Environmental Engineering:;2008:;Volume ( 134 ):;issue: 009
    Author:
    R. Bruce Robinson
    ,
    Thomas W. Barnett
    ,
    Glenn R. Harwell
    ,
    Stephen E. Moore
    ,
    Matt Kulp
    ,
    John S. Schwartz
    DOI: 10.1061/(ASCE)0733-9372(2008)134:9(800)
    Publisher: American Society of Civil Engineers
    Abstract: Quarterly base flow water quality data collected from October, 1993 to November, 2002 at 90 stream sites in the Great Smoky Mountains National Park were used in step-wise multiple linear regression models to analyze pH, acid neutralizing capacity (ANC), and sulfate and nitrate long-term time trends. The potential predictor variables included cumulative Julian day, seasonality, elevation, basin slope, stream order, precipitation, surrogate streamflows, geology, and acid depositional fluxes. Modeling revealed statistically significant decreasing trends in pH and sulfate with time at lower elevations, but generally no long-term time trends in stream nitrate or ANC. The best forecasting models were chosen based on maximizing the
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      pH and Acid Anion Time Trends in Different Elevation Ranges in the Great Smoky Mountains National Park

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    http://yetl.yabesh.ir/yetl1/handle/yetl/69353
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    • Journal of Environmental Engineering

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    contributor authorR. Bruce Robinson
    contributor authorThomas W. Barnett
    contributor authorGlenn R. Harwell
    contributor authorStephen E. Moore
    contributor authorMatt Kulp
    contributor authorJohn S. Schwartz
    date accessioned2017-05-08T22:02:04Z
    date available2017-05-08T22:02:04Z
    date copyrightSeptember 2008
    date issued2008
    identifier other%28asce%290733-9372%282008%29134%3A9%28800%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69353
    description abstractQuarterly base flow water quality data collected from October, 1993 to November, 2002 at 90 stream sites in the Great Smoky Mountains National Park were used in step-wise multiple linear regression models to analyze pH, acid neutralizing capacity (ANC), and sulfate and nitrate long-term time trends. The potential predictor variables included cumulative Julian day, seasonality, elevation, basin slope, stream order, precipitation, surrogate streamflows, geology, and acid depositional fluxes. Modeling revealed statistically significant decreasing trends in pH and sulfate with time at lower elevations, but generally no long-term time trends in stream nitrate or ANC. The best forecasting models were chosen based on maximizing the
    publisherAmerican Society of Civil Engineers
    titlepH and Acid Anion Time Trends in Different Elevation Ranges in the Great Smoky Mountains National Park
    typeJournal Paper
    journal volume134
    journal issue9
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)0733-9372(2008)134:9(800)
    treeJournal of Environmental Engineering:;2008:;Volume ( 134 ):;issue: 009
    contenttypeFulltext
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