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Modeled Summer Background Concentration of Nutrients and Suspended Sediment in the Mid-Continent (USA) Great Rivers

Authors

  • Ted R. Angradi,

    1. Respectively, Research Biologist (Angradi), United States Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, 6201 Congdon Boulevard, Duluth, Minnesota 55804
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  • David W. Bolgrien,

    1. Research Biologist (Bolgrien), United States Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, Duluth, Minnesota 55804
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  • Matt A. Starry,

    1. GIS Analyst (Starry), SRA International, Inc., Fairfax, Virginia 22033
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  • Brian H. Hill

    1. Branch Chief (Hill), United States Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, Duluth, Minnesota 55804
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  • Paper No. JAWRA-11-0088-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.

(E-Mail/Angradi: angradi.theodore@epa.gov).

Abstract

Angradi, Ted R., David W. Bolgrien, Matt A. Starry, and Brian H. Hill, 2012. Modeled Summer Background Concentration of Nutrients and Suspended Sediment in the Mid-Continent (USA) Great Rivers. Journal of the American Water Resources Association (JAWRA) 48(5): 1054-1070. DOI: 10.1111/j.1752-1688.2012.00669.x

Abstract:  We used regression models to predict summer background concentration of total nitrogen (N), total phosphorus (P), and total suspended solids (TSS), in the mid-continent great rivers: the Upper Mississippi, the Lower Missouri, and the Ohio. From multiple linear regressions of water quality indicators with land use and other stressor variables, we determined the concentration of the indicators when the predictor variables were all set to zero — the y-intercept. Except for total P on the Upper Mississippi River, we could predict background concentration using regression models. Predicted background concentration of total N was about the same on the Upper Mississippi and Lower Missouri Rivers (430 μg l−1), which was lower than percentile-based values, but was similar to concentrations derived from the response of sestonic chlorophyll a to great river total N concentration. Background concentration of total P on the Lower Missouri (65 μg l−1) was also lower than published and percentile-based concentrations. Background TSS concentration was higher on the Lower Missouri (40 mg l−1) than the other rivers. Background TSS concentration on the Upper Mississippi (16 mg l−1) was below a threshold (30 mg l−1) designed to protect aquatic vegetation. Our model-predicted concentrations for the great rivers are an attempt to estimate background concentrations for water quality indicators independent from thresholds based on percentiles or derived from stressor-response relationships.

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