Content area

Abstract

The wastewater with a high concentration of organics and salt is a major contaminant in the production of sauerkraut. In this study, a multistage active biological process (MSABP) system was constructed to treat sauerkraut wastewater. The key process parameters of the MSABP system were analyzed and optimized by response surface methodology. The optimization results indicated that the most optimal removal efficiencies and removal loading rates of chemical oxygen demand (COD) and NH4+-N were 87.9%, 95.5%, 2.11 kg·m−3·d−1 and 0.12 kg·m−3·d−1, respectively, with hydraulic retention time (HRT) of 2.5 d and pH of 7.3. Meanwhile, this system could also be improved for the further treatment of COD and total nitrogen by effluent recycle and ozone oxidation. The COD and total nitrogen removal efficiencies of the modified MSABP system were 99.9% and 60.2%, respectively. In addition, the modified system could also reduce the potential harm from high concentrations of NO2−-N.

Details

Title
Treatment performance of multistage active biological process (MSABP) reactor for saline sauerkraut wastewater: acclimatization, optimization and improvement
Author
Wang, Youzhao 1 ; Zhu, Tong 2 ; Wong, Yong Jie 3 ; Zhang, Kuo 4 ; Chang, Mingdong 5 

1  Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968) 
2  Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968); DongYuan Environment S&T, Shenyang, China (GRID:grid.412252.2) 
3  Kyoto University, Research Center for Environmental Quality Management, Graduate School of Engineering, Otsu, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033); Kyoto University of Advance Science, Department of Bioenvironmental Design, Faculty of Bioenvironmental Science, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
4  Peking University, College of Environmental Sciences and Engineering, Beijing, People’s Republic of China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
5  Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968); Kyoto University, Research Center for Environmental Quality Management, Graduate School of Engineering, Otsu, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
Pages
981-993
Publication year
2023
Publication date
Jul 2023
Publisher
Springer Nature B.V.
ISSN
16157591
e-ISSN
16157605
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1007/s00449-023-02877-2
ProQuest document ID
2821988804
Copyright
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.