309
Views
0
CrossRef citations to date
0
Altmetric
Articles

Comparison of ozone-based AOPs on the removal of organic matter from the secondary biochemical effluent of coking wastewater

, , , , , & show all
Pages 1943-1955 | Received 20 Jun 2022, Accepted 25 Nov 2022, Published online: 07 Jan 2023
 

ABSTRACT

Advanced oxidation processes (AOPs) based on ozone are gaining continuously growing popularity in wastewater treatment. This study explored the treatment of coking wastewater using a combination of ozonation (O3), ultraviolet (UV), and hydrogen peroxide (H2O2) process expressed by % chemical oxygen demand (COD) removal, % total organic carbon (TOC), % UV254, % fluorescence intensity removal and its electrical energy consumption. The obtained results demonstrated that, the combination of O3, UV, and H2O2 which is denoted by O3/UV/H2O2 in this study achieved great success in COD removal (92.08%), TOC removal (78.25%), and reduction of fluorescence intensity (99.82%). Compared with the O3 and O3/UV processes, O3/UV/H2O2 improved the COD removal by approximately 54–69% and 38–51%, respectively. In addition, the energy consumption was reduced by 53–67%. The TOC removal rate in the effluent ranged 71% and 83%, while the UV254 removal rate was up to 90%. The fluorescence spectroscopy showed that the O3/UV/H2O2 combination process reduced the fluorescence intensity by almost 97% within 10 min. Furthermore, the total polycyclic aromatic hydrocarbons (PAHs) concentration in the effluent was less than 10μg/L (removal efficiency > 80%) and the most toxic benzo(a)pyrene (BaP) was less than 0.03 μg/L (0.018μg/L). In addition, the energy consumption of the O3/UV/H2O2 process was 53–67% lower than those of O3 and O3/UV processes. Furthermore, the energy consumption was 80.26 kWh m−3 after 60 min of reaction time when the COD (69.3 mg/L) met the standard discharge. Finally, the O3/UV/H2O2 process could be an effective method for improving the mineralisation of refractory organic matter.

GRAPHICAL ABSTRACT

Acknowledgements

Yuxian Ji: Conceptualisation, Methodology, Investigation, Validation, Formal analysis, Data curation, Writing-original draft, Writing-review & editing, Visualisation. Chunrong Wang: Conceptualisation, Methodology, Resources, Data curation, Writing – original draft, Writing-review & editing, Visualisation, Supervision. Lei He: Conceptualisation, Methodology, Investigation, Validation, Formal analysis, Data curation. Xiaoya Chen: Investigation, Validation, Resources, Formal analysis, Data curation. Jianbing Wang: Investigation, Validation, Formal analysis, Data curation. Xian Zhang: Investigation, Validation, Formal analysis, Data curation, Project administration, Funding acquisition. Qingbang Du: Conceptualisation, Methodology, Writing-review & editing, Visualisation.

Disclosure statement

No potential conflict of interest was reported by the author(s ).

Data availability statement

The data used in the current study are available from the corresponding author on reasonable request.

Additional information

Funding

The research is supported by the project (NO. 5216007).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.