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Comparison of three-dimensional fluorescence analysis methods for predicting formation of trihalomethanes and haloacetic acids

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Journal of Environmental sciences 2015年第1期27卷 159-167页

作者： nicolás m.peleato Robert C.Andrews Department of Civil Engineering University of Toronto

This work investigated the application of several fluorescence excitation–emission matrix analysis methods as natural organic matter（NOm） indicators for use in predicting the formation of trihalomethanes（THms） and haloacetic acids（HAAs）. Waters from four different sources（two rivers and two lakes） were subjected to jar testing followed by 24 hr disinfection by-product formation tests using chlorine. NOm was quantified using three common measures： dissolved organic carbon, ultraviolet absorbance at 254 nm, and specific ultraviolet absorbance as well as by principal component analysis, peak picking,and parallel factor analysis of fluorescence spectra. Based on multi-linear modeling of THms and HAAs, principle component（PC） scores resulted in the lowest mean squared prediction error of cross-folded test sets（THms： 43.7（μg/L）^2, HAAs： 233.3（μg/L）^2）. Inclusion of principle components representative of protein-like material significantly decreased prediction error for both THms and HAAs. Parallel factor analysis did not identify a protein-like component and resulted in prediction errors similar to traditional NOm surrogates as well as fluorescence peak picking. These results support the value of fluorescence excitation–emission matrix–principal component analysis as a suitable NOm indicator in predicting the formation of THms and HAAs for the water sources studied.

关键词： Natural organic matter Fluorescence Principal component analysis PARAFAC Disinfection byproducts Drinking water

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Towards real-time detection of wastewater in surface waters using fluorescence spectroscopy

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Journal of Environmental sciences 2019年第12期31卷 195-202页

作者： Ye Z.Yang nicolas m.peleato Raymond L.Legge Robert C.Andrews Department of Ciuil and mineral Engineering University of Toronto35 St.George St.TorontoOntario M5S 1A4Canada school of Engineering Uniuersity of British Columbia Okanagan1137 Alwmni AueKeloiunaBritish Columbia V1V 1V7Canada Department of Chemical Engineering University of Waterloo200 University Ave.WWaterlooOntario N2L 3G1Canada

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 *** 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 *** linear regression was applied to components derived from parallel factors *** 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 *** of sucralose,a wastewater indicator,were conducted for treated wastewater as well as surface water collected at two intake locations on Lake *** 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 ***,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.

关键词： Excitation emission matrices Parallel factors analysis Natural organic matter source water monitoring Wastewater impact Water quality assessment

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