Biodegradation and optimization of bilge water in a sequencing batch reactor using response surface methodology

Bilge water is a significant source of pollution in the marine environment and has captured widespread international attention. In this study, a sequencing batch reactor (SBR) combined with strain S2 identified as Bacillus licheniformis was employed to assess the biodegradation of Chemical Oxygen De...

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Veröffentlicht in:Chemosphere (Oxford) 2022-11, Vol.307, p.135654-135654, Article 135654
Hauptverfasser: Shi, Jianqiang, Zhang, Guichen, Zhang, Shaojun, Lu, Run, Chen, Mengwei
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Sprache:eng
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Zusammenfassung:Bilge water is a significant source of pollution in the marine environment and has captured widespread international attention. In this study, a sequencing batch reactor (SBR) combined with strain S2 identified as Bacillus licheniformis was employed to assess the biodegradation of Chemical Oxygen Demand (COD) from bilge water. The influencing variables such as temperature, pH level and inoculum concentration on the performance SBR system were optimized by utilizing response surface methodology (RSM). The experimental results showed that the maximum COD removal of 77.81% was reached at the optimal SBR operation conditions of temperature 35.44 °C pH 8.13, and inoculum concentration 31.47 mL. In the practical application of SBR, it was found that the decrease in hydraulic retention time (HRT) was accompanied by a decrease in COD degradation rate. The biodegradation kinetics of COD in bilge water were well fitted with the first–order equation with a higher R2 value of 0.98106. In conclusion, COD in bilge water can be efficiently biodegraded by SBR under the optimization of RSM. [Display omitted] •A sequencing batch reactor is proposed to treat bilge water.•The operating parameters were optimized using the response surface method.•The practical performance of sequencing batch reactor is explored.•The first-order biodegradation kinetic model is obtained under the optimal conditions.
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2022.135654