Characterization of UV/chlorine process for micropollutant abatement by probe compound-based kinetic models.


Journal

Water research
ISSN: 1879-2448
Titre abrégé: Water Res
Pays: England
ID NLM: 0105072

Informations de publication

Date de publication:
15 Jun 2023
Historique:
received: 20 01 2023
revised: 05 04 2023
accepted: 18 04 2023
medline: 9 5 2023
pubmed: 25 4 2023
entrez: 25 4 2023
Statut: ppublish

Résumé

Micropollutant (MP) abatement efficiencies are critical information for optimizing water treatment process for cost-effective operations. Nevertheless, due to the vast number of MPs in real water matrices, it is infeasible to measure their abatement efficiencies individually in practical applications. In this study, a probe compound-based kinetic model was developed for generalized prediction of MP abatement in various water matrices by the ultraviolet (UV)/chlorine process. The results show that by measuring the depletion of three probe compounds (ibuprofen, primidone, and dimetridazole) spiked in the water matrix, the exposures of main reactive chlorine species (RCS including chlorine radicals (Cl•), dichloride radicals (Cl

Identifiants

pubmed: 37098285
pii: S0043-1354(23)00421-9
doi: 10.1016/j.watres.2023.119985
pii:
doi:

Substances chimiques

Chlorine 4R7X1O2820
Water Pollutants, Chemical 0
Wastewater 0
Hydrogen Peroxide BBX060AN9V
Chlorides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119985

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Yujue Wang reports financial support was provided by National Natural Science Foundation of China.

Auteurs

Yinqiao Zhang (Y)

School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Tsinghua University, 100084 Beijing, China; School of Engineering, China Pharmaceutical University, 211198 Nanjing, China.

Yang Guo (Y)

School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Tsinghua University, 100084 Beijing, China.

Jingyun Fang (J)

School of Environmental Science and Engineering, Sun Yat-Sen University, 510275 Guangzhou, China.

Kaiheng Guo (K)

School of Environmental Science and Engineering, Sun Yat-Sen University, 510275 Guangzhou, China.

Gang Yu (G)

Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, 519087 Zhuhai, China.

Yujue Wang (Y)

School of Environment, Beijing Key Laboratory for Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Tsinghua University, 100084 Beijing, China. Electronic address: wangyujue@tsinghua.edu.cn.

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Classifications MeSH