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Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment

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Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment. / Bieroza, Magdalena; Baker, Andy; Bridgeman, John.
In: Science of the Total Environment, Vol. 407, No. 5, 15.02.2009, p. 1765-1774.

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Bieroza M, Baker A, Bridgeman J. Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment. Science of the Total Environment. 2009 Feb 15;407(5):1765-1774. doi: 10.1016/j.scitotenv.2008.11.013

Author

Bieroza, Magdalena ; Baker, Andy ; Bridgeman, John. / Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment. In: Science of the Total Environment. 2009 ; Vol. 407, No. 5. pp. 1765-1774.

Bibtex

@article{68653c11c6eb4409b8fe69b6e1269faa,
title = "Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment",
abstract = "Monthly raw and clarified water samples were obtained for 16 UK surface water treatment works. The fluorescence excitation-emission matrix (EEM) technique was used for the assessment of total organic carbon (TOC) removal and organic matter (OM) characterisation. The impact of algae presence in water on TOC removal, and its relationship with fluorescence, was analysed. Fluorescence peak C intensity was found to be a sensitive and reliable measure of OM content. Fluorescence peak C emission wavelength and peak T intensity (reflecting the degree of hydrophobicity and the microbial fraction, respectively) were found to characterize the OM; the impact of both on TOC removal efficiency was apparent. OM fluorescence properties were shown to predict TOC removal, and identify spatial and temporal variations. Previous work indicates that the trihalomethane (THM) concentration of treated water can be predicted from the raw water TOC concentration. The simplicity, sensitivity, speed of analysis and low cost, combined with potential for incorporation into on-line monitoring systems, mean that fluorescence spectroscopy offers a robust analytical technique to be used in conjunction with, or in place of, other approaches to OM characterisation and THM formation prediction. (C) 2008 Elsevier B.V. All rights reserved.",
keywords = "Total organic carbon removal, Trihalomethanes, Fluorescence, Organic matter, DISINFECTION BY-PRODUCTS, OPTICAL-PROPERTIES, MOLECULAR-WEIGHT, SURFACE WATERS, SPECTROSCOPY, COAGULATION, MODEL, EXCITATION, DOM, TRIHALOMETHANES",
author = "Magdalena Bieroza and Andy Baker and John Bridgeman",
year = "2009",
month = feb,
day = "15",
doi = "10.1016/j.scitotenv.2008.11.013",
language = "English",
volume = "407",
pages = "1765--1774",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier Science B.V.",
number = "5",

}

RIS

TY - JOUR

T1 - Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment

AU - Bieroza, Magdalena

AU - Baker, Andy

AU - Bridgeman, John

PY - 2009/2/15

Y1 - 2009/2/15

N2 - Monthly raw and clarified water samples were obtained for 16 UK surface water treatment works. The fluorescence excitation-emission matrix (EEM) technique was used for the assessment of total organic carbon (TOC) removal and organic matter (OM) characterisation. The impact of algae presence in water on TOC removal, and its relationship with fluorescence, was analysed. Fluorescence peak C intensity was found to be a sensitive and reliable measure of OM content. Fluorescence peak C emission wavelength and peak T intensity (reflecting the degree of hydrophobicity and the microbial fraction, respectively) were found to characterize the OM; the impact of both on TOC removal efficiency was apparent. OM fluorescence properties were shown to predict TOC removal, and identify spatial and temporal variations. Previous work indicates that the trihalomethane (THM) concentration of treated water can be predicted from the raw water TOC concentration. The simplicity, sensitivity, speed of analysis and low cost, combined with potential for incorporation into on-line monitoring systems, mean that fluorescence spectroscopy offers a robust analytical technique to be used in conjunction with, or in place of, other approaches to OM characterisation and THM formation prediction. (C) 2008 Elsevier B.V. All rights reserved.

AB - Monthly raw and clarified water samples were obtained for 16 UK surface water treatment works. The fluorescence excitation-emission matrix (EEM) technique was used for the assessment of total organic carbon (TOC) removal and organic matter (OM) characterisation. The impact of algae presence in water on TOC removal, and its relationship with fluorescence, was analysed. Fluorescence peak C intensity was found to be a sensitive and reliable measure of OM content. Fluorescence peak C emission wavelength and peak T intensity (reflecting the degree of hydrophobicity and the microbial fraction, respectively) were found to characterize the OM; the impact of both on TOC removal efficiency was apparent. OM fluorescence properties were shown to predict TOC removal, and identify spatial and temporal variations. Previous work indicates that the trihalomethane (THM) concentration of treated water can be predicted from the raw water TOC concentration. The simplicity, sensitivity, speed of analysis and low cost, combined with potential for incorporation into on-line monitoring systems, mean that fluorescence spectroscopy offers a robust analytical technique to be used in conjunction with, or in place of, other approaches to OM characterisation and THM formation prediction. (C) 2008 Elsevier B.V. All rights reserved.

KW - Total organic carbon removal

KW - Trihalomethanes

KW - Fluorescence

KW - Organic matter

KW - DISINFECTION BY-PRODUCTS

KW - OPTICAL-PROPERTIES

KW - MOLECULAR-WEIGHT

KW - SURFACE WATERS

KW - SPECTROSCOPY

KW - COAGULATION

KW - MODEL

KW - EXCITATION

KW - DOM

KW - TRIHALOMETHANES

U2 - 10.1016/j.scitotenv.2008.11.013

DO - 10.1016/j.scitotenv.2008.11.013

M3 - Journal article

VL - 407

SP - 1765

EP - 1774

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

IS - 5

ER -