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Towards real-time detection of wastewater in surface waters using fluorescence spectroscopy
Institution:Department of Civil and Mineral Engineering,University of Toronto,35 St.George St.,Toronto,Ontario M5S 1A4,Canada;School of Engineering,University of British Columbia Okanagan,1137 Alumni Ave,Kelowna,British Columbia V1V 1V7,Canada;Department of Chemical Engineering,University of Waterloo,200 University Ave.W,Waterloo Ontario N2L 3G1,Canada
Abstract:The presence of municipal wastewater at the intake of a major drinking water treatment facility located on Lake Ontario was examined using fluorescence data collected during a period of continuous monitoring. In addition, controlled mixing of lake water and wastewater sampled from a local treatment facility were conducted using a bench-scale fluorescence system to quantify observed changes in natural organic matter. Multivariate linear regression was applied to components derived from parallel factors analysis. The resulting mean absolute error for predicted wastewater level was 0.22% (V/V, wastewater/lake water), indicating that wastewater detection at below 1.0% (V/V) was possible. Analyses of sucralose, a wastewater indicator, were conducted for treated wastewater as well as surface water collected at two intake locations on Lake Ontario. Results suggested minimal wastewater contribution at the drinking water intake. A wastewater detection model using a moving baseline was developed and applied to continuous fluorescence data collected at one of the drinking water intakes, which agreed well with sucralose results. Furthermore, the simulated addition of 1.0% (V/V) of wastewater/wastewater was detectable in 89% of samples analyzed, demonstrating the utility of fluorescence-based wastewater monitoring.
Keywords:Excitation emission matrices  Parallel factors analysis  Natural organic matter  Source water monitoring  Wastewater impact  Water quality assessment
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