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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

(2017) ENVIRONMENTAL SCIENCE & TECHNOLOGY. 51(24). p.14233-14243
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Organization
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.
Keywords
DISSOLVED ORGANIC-MATTER, CENTER-DOT GENERATION, BY-PRODUCT FORMATION, DRINKING-WATER, UV ABSORBENCY, MICROPOLLUTANT ELIMINATION, CONTAMINANT OXIDATION, REMOVAL EFFICIENCY, REUSE APPLICATIONS, REACTION-KINETICS

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MLA
Chys, Michael, 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, vol. 51, no. 24, 2017, pp. 14233–43, doi:10.1021/acs.est.7b04905.
APA
Chys, M., Audenaert, W., Deniere, E., Mortier, S., Van Langenhove, H., Nopens, I., … Van Hulle, S. (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. https://doi.org/10.1021/acs.est.7b04905
Chicago author-date
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): 14233–43. https://doi.org/10.1021/acs.est.7b04905.
Chicago author-date (all authors)
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. doi:10.1021/acs.est.7b04905.
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.
IEEE
[1]
M. Chys 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, vol. 51, no. 24, pp. 14233–14243, 2017.
@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, Séverine and Van Langenhove, Herman and Nopens, Ingmar and Demeestere, Kristof and Van Hulle, Stijn}},
  issn         = {{0013-936X}},
  journal      = {{ENVIRONMENTAL SCIENCE & TECHNOLOGY}},
  keywords     = {{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://doi.org/10.1021/acs.est.7b04905}},
  volume       = {{51}},
  year         = {{2017}},
}

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