Pilot-scale UV/H2O2 study for emerging organic contaminants decomposition.

Abstract

Human behaviors including consumption of drugs and use of personal care products, climate change, increased international travel, and the advent of water reclamation for direct potable use have led to the introduction of significant amounts of emerging organic contaminants into the aqueous environment. In addition, the lower detection limits associated with improved scientific methods of chemical analysis have resulted in a recent increase in documented incidences of these contaminants which previously were not routinely monitored in water. Such contaminants may cause known or suspected adverse ecological and/or human health effects at very low concentrations. Conventional drinking water treatment processes may not effectively remove these organic contaminants. Advanced oxidation process (AOP) is a promising treatment process for the removal of most of these emerging organic contaminants, and has been accepted worldwide as a suitable treatment process. In this study, different groups of emerging contaminants were studied for decomposition efficiency using pilot-scale UV/H2O2 oxidation setup, including EDCs, PPCPs, taste and odor (T&O), and perfluorinated compounds. Results found that MP UV/H2O2 AOP was efficient in removing all the selected contaminants except perfluorinated compounds. Study of the kinetics of the process showed that both light absorption and quantum yield of each compound affected the decomposition performance. Analysis of water quality parameters of the treated water indicated that the outcome of both UV photolysis and UV/H2O2 processes can be affected by changes in the feed water quality.

DOI: 10.1515/reveh-2016-0008

Cite this paper

@article{Chu2016PilotscaleUS, title={Pilot-scale UV/H2O2 study for emerging organic contaminants decomposition.}, author={Xiaona Chu and Yan Xiao and Jiang Hu and Elaine Quek and Rongjin Xie and Thomas W S Pang and Yongjie Xing}, journal={Reviews on environmental health}, year={2016}, volume={31 1}, pages={71-4} }