Processing Efficiency, Simulation and Enzyme Activities Analysis of an Air-Lift Multilevel Circulation Membrane Bioreactor (AMCMBR) on Marine Domestic Sewage Treatment

Authors

  • Yuhang Cai
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
  • Xin Li
    Affiliation
    China Aviation Development Institute, No. 1 Wanlian Road, Shenhe District, Shenyang City, China
  • Asad A. Zaidi
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
  • Yue Shi
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
  • Kun Zhang
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
  • Peiqi Sun
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
  • Zheng Lu
    Affiliation
    College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang Province, China
https://doi.org/10.3311/PPch.13389

Abstract

The implementation of latest International Maritime Organization emission standard raised stringent requirements for marine domestic sewage discharge. In this study, an air-lift multilevel circulation membrane reactor (AMCMBR) was operated to analyze effects of various ecological factors on effluent of marine domestic sewage. Back-propagation (BP)-Artificial Neural Network (ANN) was used to simulate effect of each ecological factor on reactor performance. The activities of four enzymes were investigated to reveal microbial activities in reactor. Experimental results indicates that the Hydraulic Retention Time (HRT), Mixed Liquid Suspended Solids (MLSS) and pH value cannot be less than 4 h, 3000 mg/L and 6, respectively to meet the IMO emission standard for effluent COD. A small value of mean square error (0.00147) indicated that BP-ANN can well describe the relationship between operation parameters (influent COD, HRT, MLSS, and pH) and effluent COD. The order of relative importance was pH ≈ MLSS > HRT > influent COD. Polyphenol oxidase and urease can serve as indicating factors for reactor performance, whereas dehydrogenase and nitrate reductase showed less susceptible towards varied influent COD and MLSS.

Keywords:

air-lift multilevel circulation membrane reactor (AMCMBR), Back-propagation -Artificial Neural Network (BPANN ecological factor), enzyme activity

Citation data from Crossref and Scopus

Published Online

2019-03-25

How to Cite

Cai, Y., Li, X., Zaidi, A. A., Shi, Y., Zhang, K., Sun, P. “Processing Efficiency, Simulation and Enzyme Activities Analysis of an Air-Lift Multilevel Circulation Membrane Bioreactor (AMCMBR) on Marine Domestic Sewage Treatment”, Periodica Polytechnica Chemical Engineering, 63(3), pp. 448–458, 2019. https://doi.org/10.3311/PPch.13389

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Articles