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Surrogate-based correlation models in view of real-time control of ozonation of secondary treated municipal wastewater-model development and dynamic validation

Michael Chys UGent, Wim Audenaert, Emma Deniere UGent, Séverine Mortier UGent, Herman Van Langenhove UGent, Ingmar Nopens UGent, Kristof Demeestere UGent and Stijn Van Hulle UGent (2017) ENVIRONMENTAL SCIENCE & TECHNOLOGY. 51(24). p.14233-14243
abstract
New robust correlation models for real-time monitoring and control of trace organic contaminant (TrOC) removal by ozonation are presented, based on UVA(254) and fluorescence surrogates, and developed considering kinetic information. The abatement patterns of TrOCs had inflected shapes, controlled by the reactivity of TrOCs toward ozone and HO center dot radicals. These novel and generic correlation models will be of importance for WRRF operators to reduce operational costs and minimize byproduct formation. Both UVA(254) and fluorescence surrogates could be used to control Delta TrOc, although fluorescence measurements indicated a slightly better reproducibility and an enlarged control range. The generic framework was validated for several WRRFs and correlations for any compound with known kinetic information could be developed solely using the Second order reaction rate constant with ozone (k(O3)). Two distinct reaction phases were defined for which separate linear correlations were obtained. The first was mainly ozone controlled, while the second phase was more related to HO center dot reactions. Furthermore, parallel factor analysis of the fluorescence spectra enabled monitoring of multiple types of organic matter with different O-3 and HO center dot reactivity. This knowledge is of value for kinetic modeling frameworks and for achieving a better understanding of the occurring changes of organic matter during ozonation.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DISSOLVED ORGANIC-MATTER, CENTER-DOT GENERATION, BY-PRODUCT FORMATION, DRINKING-WATER, UV ABSORBENCY, MICROPOLLUTANT ELIMINATION, CONTAMINANT OXIDATION, REMOVAL EFFICIENCY, REUSE APPLICATIONS, REACTION-KINETICS
journal title
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Environ. Sci. Technol.
volume
51
issue
24
pages
14233 - 14243
Web of Science type
Article
Web of Science id
000418625900026
ISSN
0013-936X
1520-5851
DOI
10.1021/acs.est.7b04905
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8541252
handle
http://hdl.handle.net/1854/LU-8541252
date created
2017-12-11 16:25:04
date last changed
2018-03-01 11:20:48
@article{8541252,
  abstract     = {New robust correlation models for real-time monitoring and control of trace organic contaminant (TrOC) removal by ozonation are presented, based on UVA(254) and fluorescence surrogates, and developed considering kinetic information. The abatement patterns of TrOCs had inflected shapes, controlled by the reactivity of TrOCs toward ozone and HO center dot radicals. These novel and generic correlation models will be of importance for WRRF operators to reduce operational costs and minimize byproduct formation. Both UVA(254) and fluorescence surrogates could be used to control Delta TrOc, although fluorescence measurements indicated a slightly better reproducibility and an enlarged control range. The generic framework was validated for several WRRFs and correlations for any compound with known kinetic information could be developed solely using the Second order reaction rate constant with ozone (k(O3)). Two distinct reaction phases were defined for which separate linear correlations were obtained. The first was mainly ozone controlled, while the second phase was more related to HO center dot reactions. Furthermore, parallel factor analysis of the fluorescence spectra enabled monitoring of multiple types of organic matter with different O-3 and HO center dot reactivity. This knowledge is of value for kinetic modeling frameworks and for achieving a better understanding of the occurring changes of organic matter during ozonation.},
  author       = {Chys, Michael and Audenaert, Wim and Deniere, Emma and Mortier, S{\'e}verine and Van Langenhove, Herman and Nopens, Ingmar and Demeestere, Kristof and Van Hulle, Stijn},
  issn         = {0013-936X},
  journal      = {ENVIRONMENTAL SCIENCE \& TECHNOLOGY},
  keyword      = {DISSOLVED ORGANIC-MATTER,CENTER-DOT GENERATION,BY-PRODUCT FORMATION,DRINKING-WATER,UV ABSORBENCY,MICROPOLLUTANT ELIMINATION,CONTAMINANT OXIDATION,REMOVAL EFFICIENCY,REUSE APPLICATIONS,REACTION-KINETICS},
  language     = {eng},
  number       = {24},
  pages        = {14233--14243},
  title        = {Surrogate-based correlation models in view of real-time control of ozonation of secondary treated municipal wastewater-model development and dynamic validation},
  url          = {http://dx.doi.org/10.1021/acs.est.7b04905},
  volume       = {51},
  year         = {2017},
}

Chicago
Chys, Michael, Wim Audenaert, Emma Deniere, Séverine Mortier, Herman Van Langenhove, Ingmar Nopens, Kristof Demeestere, and Stijn Van Hulle. 2017. “Surrogate-based Correlation Models in View of Real-time Control of Ozonation of Secondary Treated Municipal Wastewater-model Development and Dynamic Validation.” Environmental Science & Technology 51 (24): 14233–14243.
APA
Chys, M., Audenaert, W., Deniere, E., Mortier, S., Van Langenhove, H., Nopens, I., Demeestere, K., et al. (2017). Surrogate-based correlation models in view of real-time control of ozonation of secondary treated municipal wastewater-model development and dynamic validation. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 51(24), 14233–14243.
Vancouver
1.
Chys M, Audenaert W, Deniere E, Mortier S, Van Langenhove H, Nopens I, et al. Surrogate-based correlation models in view of real-time control of ozonation of secondary treated municipal wastewater-model development and dynamic validation. ENVIRONMENTAL SCIENCE & TECHNOLOGY. 2017;51(24):14233–43.
MLA
Chys, Michael, Wim Audenaert, Emma Deniere, et al. “Surrogate-based Correlation Models in View of Real-time Control of Ozonation of Secondary Treated Municipal Wastewater-model Development and Dynamic Validation.” ENVIRONMENTAL SCIENCE & TECHNOLOGY 51.24 (2017): 14233–14243. Print.