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

被引:26
|
作者
Song, Zhi-Min [1 ]
Xu, Ya-Lan [1 ]
Liang, Jun-Kun [2 ]
Peng, Lu [2 ]
Zhang, Xin-Yang [1 ]
Du, Ye [2 ]
Lu, Yao [2 ]
Li, Xin-Zheng [1 ]
Wu, Qian-Yuan [1 ]
Guan, Yun-Tao [1 ]
机构
[1] Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Guangdong Prov Engn Res Ctr Urban Water Recycling, Key Lab Microorganism Applicat & Risk Control She, Shenzhen 518055, Peoples R China
[2] Tsinghua Berkeley Shenzhen Inst, Shenzhen Environm Sci & New Energy Technol Engn L, Shenzhen 518055, Peoples R China
基金
中国国家自然科学基金;
关键词
Surrogate; ozonation; UV/H2O2; trace organic contaminant (TrOC); UV absorbance; fluorescence; kinetics; surrogate model; sensor; UV/H2O2 ADVANCED OXIDATION; PERSONAL CARE PRODUCTS; OZONATED WASTE-WATER; EMISSION MATRIX EEM; REAL-TIME CONTROL; DRINKING-WATER; MICROPOLLUTANT ELIMINATION; FLUORESCENCE SPECTROSCOPY; EMERGING CONTAMINANTS; SECONDARY EFFLUENT;
D O I
10.1016/j.watres.2020.116733
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (c) 2020 ElsevierLtd. All rights reserved.
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页数:13
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