Human-Associated Indicator Bacteria and Human-Specific Viruses in Surface Water: A Spatial Assessment with Implications on Fate and Transport.

Authors:
Peter L Lenaker
Peter L Lenaker
UniversityS. Geological Survey
Steven R Corsi
Steven R Corsi
Western Washington University
United States
Mark A Borchardt
Mark A Borchardt
University of Wisconsin-Madison
United States
Deborah K Dila
Deborah K Dila
Annis Water Resources Institute
Susan K Spencer
Susan K Spencer
Marshfield Clinic Research Foundation
United States
Austin K Baldwin
Austin K Baldwin
UniversityS. Geological Survey

Environ Sci Technol 2018 Nov 15;52(21):12162-12171. Epub 2018 Oct 15.

U.S. Geological Survey, Upper Midwest Water Science Center , 8505 Research Way , Middleton , Wisconsin 53562 , United States.

Hydrologic, seasonal, and spatial variability of sewage contamination was studied at six locations within a watershed upstream from water reclamation facility (WRF) effluent to define relative loadings of sewage from different portions of the watershed. Fecal pollution from human sources was spatially quantified by measuring two human-associated indicator bacteria (HIB) and eight human-specific viruses (HSV) at six stream locations in the Menomonee River watershed in Milwaukee, Wisconsin from April 2009 to March 2011. A custom, automated water sampler, which included HSV filtration, was deployed at each location and provided unattended, flow-weighted, large-volume (30-913 L) sampling. In addition, wastewater influent samples were composited over discrete 7 day periods from the two Milwaukee WRFs. Of the 8 HSV, only 3 were detected, present in up to 38% of the 228 stream samples, while at least 1 HSV was detected in all WRF influent samples. HIB occurred more often with significantly higher concentrations than the HSV in stream and WRF influent samples ( p < 0.05). HSV yield calculations showed a loss from upstream to the most-downstream sub-watershed of the Menomonee River, and in contrast, a positive HIB yield from this same sub-watershed emphasizes the complexity in fate and transport properties between HSV and HIB. This study demonstrates the utility of analyzing multiple HSV and HIB to provide a weight-of-evidence approach for assessment of fecal contamination at the watershed level, provides an assessment of relative loadings for prioritizing areas within a watershed, and demonstrates how loadings of HSV and HIB can be inconsistent, inferring potential differences in fate and transport between the two indicators of human fecal presence.

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Source
http://dx.doi.org/10.1021/acs.est.8b03481DOI Listing
November 2018
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