title: Storm loads of culturable and molecular fecal indicators in an inland urban stream.
abstract: Elevated concentrations of fecal indicator bacteria in receiving waters during wet-weather flows are a considerable public health concern that is likely to be exacerbated by future climate change and urbanization. Knowledge of factors driving the fate and transport of fecal indicator bacteria in stormwater is limited, and even less is known about molecular fecal indicators, which may eventually supplant traditional culturable indicators. In this study, concentrations and loading rates of both culturable and molecular fecal indicators were quantified throughout six storm events in an instrumented inland urban stream. While both concentrations and loading rates of each fecal indicator increased rapidly during the rising limb of the storm hydrographs, it is the loading rates rather than instantaneous concentrations that provide a better estimate of transport through the stream during the entire storm. Concentrations of general fecal indicators (both culturable and molecular) correlated most highly with each other during storm events but not with the human-associated HF183 Bacteroides marker. Event loads of general fecal indicators most strongly correlated with total runoff volume, maximum discharge, and maximum turbidity, while event loads of HF183 most strongly correlated with the time to peak flow in a hydrograph. These observations suggest that collection of multiple samples during a storm event is critical for accurate predictions of fecal indicator loading rates and total loads during wet-weather flows, which are required for effective watershed management. In addition, existing predictive models based on general fecal indicators may not be sufficient to predict source-specific genetic markers of fecal contamination.
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States. Electronic address: hehuan86@vt.edu.
authors.forename: Hehuan
authors.initials: H
authors.lastname: Liao
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Leigh-Anne H
authors.initials: LH
authors.lastname: Krometis
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: W
authors.initials: W
authors.lastname: Cully Hession
authors.affiliation: Department of Crop & Soil Environmental Science, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Romina
authors.initials: R
authors.lastname: Benitez
authors.affiliation: Department of Crop & Soil Environmental Science, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Richard
authors.initials: R
authors.lastname: Sawyer
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Erin
authors.initials: E
authors.lastname: Schaberg
authors.affiliation: Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Emily
authors.initials: E
authors.lastname: von Wagoner
authors.affiliation: Department of Crop & Soil Environmental Science, Virginia Tech, Blacksburg, VA 24061, United States.
authors.forename: Brian D
authors.initials: BD
authors.lastname: Badgley
mesh_terms: D001419:Bacteria; D004784:Environmental Monitoring; D011891:Rain; D045483:Rivers / Q000382:microbiology*; D014871:Water Microbiology; D014873:Water Pollutants / Q000032:analysis*
chemical_list: D014873:Water Pollutants
keywords: Fecal indicator bacteria; Loading rates; Microbial source tracking; Storm events; Urban runoff