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Variation of an indicator of Escherichia coli persistence from surface waters of mixed-use watersheds, and relationship with environmental factors

Published online by Cambridge University Press:  24 December 2010

Emilie Lyautey
Affiliation:
Agriculture and Agri-Food Canada, 1391 Sandford St, London, ON N5V 4T3, Canada
Graham Wilkes
Affiliation:
Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada
Jim J. Miller
Affiliation:
Agriculture and Agri-Food Canada, 5403 1st Ave S, Lethbridge, AB T1J 4B1, Canada
Eric Van Bochove
Affiliation:
Agriculture and Agri-Food Canada, 2560 boul. Hochelaga, Sainte-Foy, QC G1V 2J3, Canada
Hans Schreier
Affiliation:
Institute for Resources, Environment and Sustainability, University of British Columbia, 429-2202 Main Mall, Vancouver, BC V6T 1Z4, Canada
Wendell Koning
Affiliation:
Alberta Environment, 2938-11 St. NE, Calgary, AB T2E 7L7, Canada
Thomas A. Edge
Affiliation:
Environment Canada, 867 Lakeshore Road, Burlington, ON L7R 4A6, Canada
David R. Lapen
Affiliation:
Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada
Edward Topp*
Affiliation:
Agriculture and Agri-Food Canada, 1391 Sandford St, London, ON N5V 4T3, Canada
*
*Corresponding author: Ed.Topp@agr.gc.ca
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Abstract

Escherichia coli is an indicator of fecal pollution used to mandate recreational and drinking water quality. Concentrations of culturable E. coli following contamination of surface water are determined by three factors: dilution; cell attachment to particulate material and settling or resuspension in the water column; and the net rate of change in viability. This study evaluated the variability in the latter parameter, and how predictive variation in death rate was of culturable population densities at the time of sampling. Water samples (N=232) with varying levels of E. coli contamination were collected from 46 discrete locations in four watersheds across Canada over a three-month period and enumerated for culturable E. coli by membrane filtration plate counting (T0EC). Water samples were again enumerated following a laboratory 24 h holding period at 30°C in the dark, and the difference considered the death rate (ΔEC). Relationships of T0EC and ΔEC with environmental and water chemistry factors were explored using step-wise multiple regression. The model predicting T0EC indicated that stream order, total rainfall seven days in advance of sampling day, total phosphorus, and ΔEC were the most significant contributors. The model predicting ΔEC indicated that turbidity and NH3+NH4 were the most important contributors. A model suggests that the persistence factor is less important than dilution (i.e. stream order) in describing E. coli densities, followed by factors that influence the loading of E. coli into watersheds.

Type
Research Article
Copyright
© EDP Sciences, 2010

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