Removal of NOM-constituents as characterized by LC-OCD and F-EEM during drinking water treatment

S. A. Baghoth, Saroj K. Sharma, Marjorie Guitard, Véronique Heim, Jean-Philippe Croue, Gary L. Amy

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Natural organic matter (NOM) is of concern in drinking water because it causes adverse aesthetic qualities such as taste, odour, and colour; impedes the performance of treatment processes; and decreases the effectiveness of oxidants and disinfectants while contributing to undesirable disinfection by-products. The effective removal of NOM during drinking water treatment requires a good understanding of its character. Because of its heterogeneity, NOM characterization necessitates the use of multiple analytical techniques. In this study, NOM in water samples from two drinking water treatment trains was characterized using liquid chromatography with organic carbon detection (LC-OCD), and fluorescence excitation-emission matrices (F-EEMs) with parallel factor analysis (PARAFAC). These characterization methods indicate that the raw and treated waters are dominated by humic substances. The results show that whereas the coagulation process for both plants may be optimized for the removal of bulk DOC, it is not likewise optimized for the removal of specific NOM fractions. A five component PARAFAC model was developed for the F-EEMs, three of which are humic-like, while two are protein-like. These PARAFAC components and the LC-OCD fractions represented effective tools for the performance evaluation of the two water treatment plants in terms of the removal of NOM fractions. © IWA Publishing 2011.
Original languageEnglish (US)
Pages (from-to)412-424
Number of pages13
JournalJournal of Water Supply: Research and Technology—AQUA
Volume60
Issue number7
DOIs
StatePublished - Nov 2011

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Fingerprint

Dive into the research topics of 'Removal of NOM-constituents as characterized by LC-OCD and F-EEM during drinking water treatment'. Together they form a unique fingerprint.

Cite this