Development of surrogate correlation models to predict trace organic contaminant oxidation and microbial inactivation during ozonation

Daniel Gerrity, Sujanie Gamage, Darryl Jones, Gregory V. Korshin, Yunho Lee, Aleksey Pisarenko, Rebecca A. Trenholm, Urs von Gunten, Eric C. Wert, Shane A Snyder

Research output: Contribution to journalArticle

102 Citations (Scopus)

Abstract

The performance of ozonation in wastewater depends on water quality and the ability to form hydroxyl radicals (OH) to meet disinfection or contaminant transformation objectives. Since there are no on-line methods to assess ozone and OH exposure in wastewater, many agencies are now embracing indicator frameworks and surrogate monitoring for regulatory compliance. Two of the most promising surrogate parameters for ozone-based treatment of secondary and tertiary wastewater effluents are differential UV254 absorbance (ΔUV254) and total fluorescence (ΔTF). In the current study, empirical correlations for ΔUV254 and ΔTF were developed for the oxidation of 18 trace organic contaminants (TOrCs), including 1,4-dioxane, atenolol, atrazine, bisphenol A, carbamazepine, diclofenac, gemfibrozil, ibuprofen, meprobamate, naproxen, N,N-diethyl-meta-toluamide (DEET), para-chlorobenzoic acid (pCBA), phenytoin, primidone, sulfamethoxazole, triclosan, trimethoprim, and tris-(2-chloroethyl)-phosphate (TCEP) (R2 = 0.50-0.83) and the inactivation of three microbial surrogates, including Escherichia coli, MS2, and Bacillus subtilis spores (R2 = 0.46-0.78). Nine wastewaters were tested in laboratory systems, and eight wastewaters were evaluated at pilot- and full-scale. A predictive model for OH exposure based on ΔUV254 or ΔTF was also proposed.

Original languageEnglish (US)
Pages (from-to)6257-6272
Number of pages16
JournalWater Research
Volume46
Issue number19
DOIs
StatePublished - Dec 1 2012

Fingerprint

Ozonization
Wastewater
Impurities
wastewater
oxidation
Oxidation
pollutant
fluorescence
Fluorescence
Ozone
ozone
Herbicides
Disinfection
Bacilli
hydroxyl radical
atrazine
absorbance
disinfection
Escherichia coli
Water quality

Keywords

  • Advanced oxidation process (AOP)
  • Disinfection
  • Fluorescence
  • Indicator
  • Indirect potable reuse (IPR)
  • Ozone
  • Pharmaceutical
  • Trace organic contaminant (TOrC)
  • UV absorbance

ASJC Scopus subject areas

  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution
  • Ecological Modeling

Cite this

Development of surrogate correlation models to predict trace organic contaminant oxidation and microbial inactivation during ozonation. / Gerrity, Daniel; Gamage, Sujanie; Jones, Darryl; Korshin, Gregory V.; Lee, Yunho; Pisarenko, Aleksey; Trenholm, Rebecca A.; von Gunten, Urs; Wert, Eric C.; Snyder, Shane A.

In: Water Research, Vol. 46, No. 19, 01.12.2012, p. 6257-6272.

Research output: Contribution to journalArticle

Gerrity, D, Gamage, S, Jones, D, Korshin, GV, Lee, Y, Pisarenko, A, Trenholm, RA, von Gunten, U, Wert, EC & Snyder, SA 2012, 'Development of surrogate correlation models to predict trace organic contaminant oxidation and microbial inactivation during ozonation', Water Research, vol. 46, no. 19, pp. 6257-6272. https://doi.org/10.1016/j.watres.2012.08.037
Gerrity, Daniel ; Gamage, Sujanie ; Jones, Darryl ; Korshin, Gregory V. ; Lee, Yunho ; Pisarenko, Aleksey ; Trenholm, Rebecca A. ; von Gunten, Urs ; Wert, Eric C. ; Snyder, Shane A. / Development of surrogate correlation models to predict trace organic contaminant oxidation and microbial inactivation during ozonation. In: Water Research. 2012 ; Vol. 46, No. 19. pp. 6257-6272.
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