Surrogates for on-line monitoring of the attenuation of trace organic contaminants during advanced oxidation processes for water reuse

التفاصيل البيبلوغرافية
العنوان: Surrogates for on-line monitoring of the attenuation of trace organic contaminants during advanced oxidation processes for water reuse
المؤلفون: Xin-Yang Zhang, Qian-Yuan Wu, Xu Yalan, Jun-Kun Liang, Lu Peng, Yao Lu, Zhi-Min Song, Yuntao Guan, Ye Du, Xinzheng Li
المصدر: Water research. 190
سنة النشر: 2020
مصطلحات موضوعية: Environmental Engineering, 0208 environmental biotechnology, 02 engineering and technology, 010501 environmental sciences, Reuse, Wastewater, 01 natural sciences, Waste Disposal, Fluid, Fluorescence spectroscopy, Water Purification, Ozone, Humans, Waste Management and Disposal, 0105 earth and related environmental sciences, Water Science and Technology, Civil and Structural Engineering, Kinetic model, Ecological Modeling, Attenuation, Water, Monitoring system, Hydrogen Peroxide, Contamination, Pollution, 020801 environmental engineering, Environmental chemistry, Environmental science, Sewage treatment, Oxidation-Reduction, Water Pollutants, Chemical
الوصف: The large number of trace organic contaminants (TrOCs) in wastewater has resulted in severe concerns to human health. Ozonation and UV/H2O2 are widely used to remove TrOCs in wastewater treatment process. Owing to the trace concentrations of TrOCs in wastewater, real-time monitoring of the abatement efficiency of TrOCs through ozonation and UV/H2O2 is quite challenging. Instead of a direct measurement of all the TrOCs, the research community has begun to use different surrogates to monitor the attenuation of TrOCs during AOPs. Various surrogates have been developed over the past few decades. In this review, the different types of surrogates are summarized, including ultraviolet spectroscopy and fluorescence spectroscopy. Strong linear correlations have been found for the removal of TrOCs using AOPs, and the abatement of UV absorption spectroscopy at 254 nm or total fluorescence (TF). Moreover, a two-phase linear correlation can better describe the ozone-resistant TrOCs compared with a single linear correlation. Two different kinds of predictive models exist that use surrogates as the input for ozonation: the regression model and kinetic model. The development of the models requires a further understanding of the impacts of water quality, seasonal variations, and storm events on the kinetic parameters. For the in situ monitoring system, the light-emitting diode (LED) is one of the most promising light sources, although the sensitivity and accuracy still need to be improved.
تدمد: 1879-2448
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c8edc763f54f45a2e92763c40d7c554
https://pubmed.ncbi.nlm.nih.gov/33341034
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....9c8edc763f54f45a2e92763c40d7c554
قاعدة البيانات: OpenAIRE