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Journal of Environmental Quality Abstract - Surface Water Quality

Efficacy of Bacteroides Measurements for Reducing the Statistical Uncertainty Associated with Hydrologic Flow and Fecal Loads in a Mixed Use Watershed


This article in JEQ

  1. Vol. 36 No. 5, p. 1324-1330
    Received: Nov 9, 2006

    * Corresponding author(s): rgentry@utk.edu
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  1. Randall W. Gentry *ad,
  2. Alice C. Laytond,
  3. Larry D. McKayc,
  4. John F. McCarthycd,
  5. Dan E. Williamsd,
  6. Shesh R. Koiralab and
  7. Gary S. Saylerd
  1. a Inst. for a Secure and Sustainable Environment, The Univ. of Tennessee, 311 Conference Center Building, Knoxville, TN 37996-4134
    d Center for Environmental Biotechnology, The Univ. of Tennessee, Knoxville, TN 37996
    c Dep. of Earth and Planetary Sciences, The Univ. of Tennessee, Knoxville, TN 37996
    b Civil & Environmental Engineering, The Univ. of Tennessee, 62 Perkins Hall, Knoxville, TN 37996-2010


This paper presents an analysis of the occurrence and uncertainty of source-specific Bacteroides and Escherichia coli in a stream in a mixed land-use watershed with human, cattle, and wildlife fecal inputs located in a karstic geologic region during baseflow conditions. The objectives of the study were to evaluate the occurrence, hydrologic significance, and source of fecal mass in the stream using assays for total Bacteroides (AllBac) and bovine-specific Bacteroides (BoBac), and then to compare these measurements with E. coli densities and loads. Samples were collected during baseflow conditions over several months at seven different main channel sites in the Stock Creek watershed, a 49.3 km2 basin located in Knoxville, TN (USA). We determined instantaneous loads for total fecal loads, bovine fecal loads, and E. coli from measured flow rates and the representative Bacteroides fecal masses and/or E. coli densities. The study indicated a strong correlation between total fecal load (kg d−1), bovine fecal load (kg d−1), E. coli load rate (CFU d−1), 7-d antecedent precipitation, and turbidity. The various datasets were used to establish parameter correlations and spatial dependencies throughout the watershed. The data analysis demonstrated two prevalent patterns throughout the watershed: (i) a runoff-dominated transport and occurrence; and (ii) potential groundwater-dominated transport and occurrence.

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Copyright © 2007. American Society of Agronomy, Crop Science Society of America, Soil Science SocietyAmerican Society of Agronomy, Crop Science Society of America, and Soil Science Society of America