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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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