volume 39, issue 20, P4953-4960 2005
DOI: 10.1016/j.watres.2005.09.031
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Greg A. Olyphant

Abstract: Data collected from four beaches along southern Lake Michigan (USA) during the summer of 2004 were subjected to correlation and time-series regression analyses aimed at identifying an optimal suite of variables that could be used to predict log Escherichia coli concentrations in real time. Although other variables entered into the regression equations, waves, outfalls of bacteria from an adjacent stream, sunshine, temperature, and time of day (morning versus afternoon) turned out to be the most useful and cons…

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