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作者:

Wang, Zhan (Wang, Zhan.) (学者:王湛) | Chu, Jinshu (Chu, Jinshu.) | Song, Yin (Song, Yin.) | Cui, Yanjie (Cui, Yanjie.) | Zhang, Hu (Zhang, Hu.) | Zhao, Xinqi (Zhao, Xinqi.) | Li, Zhaohui (Li, Zhaohui.) | Yao, Jinmiao (Yao, Jinmiao.)

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EI Scopus SCIE

摘要:

This paper quantifies the influence of operating conditions on the efficiency of domestic wastewater treatment and of membrane bioreactors (MBR) performance with a statistical method (multivariate linear regression model). The impact of the following seven parameters-(1) transmembrane pressure (TMP), (2) mixed liquor suspended solids (MLSS), (3) dissolved oxygen concentration (DO), (4) hydraulic retention time (HRT), (5) sludge retention time (SRT), (6) temperature (T) and (7) pH on the accumulated filtrate volume (V) and water quality (COD, NH3-N) -were investigated. The results showed that MLSS and temperature had 34% and about 23% respectively the majority of the influence on the resulting filtrate volume among the seven influencing parameters. The mathematic expression obtained by the multivariate linear regression model between the accumulated filtrate volume and operating conditions was V = 249.64TMP-0.056MLSS+ 31.69DO + 55.06pH-5.25T-8.82HRT + 16.24. The COD of the filtrate primarily depended on the process temperature, which carried about 64% of the weight among all the seven investigated parameters. The ammonia nitrogen concentration (NH3-N), of the effluent was mainly a function of MLSS (about 40% influence) and pH (about 27% influence). No effect of the TMP on the filtrate quality was found. In addition, the mathematic expressions between COD, NH3-N and operating conditions were COD = 0.0073A4LSS-5.64DO + 2.86T + 0.099SRT + 2.48HRT-88.82 and NH3-N = 0.017MLSS-12.99DO-28.86pH + 0.90T + 0.13SRT + 201.30. These mathematic expressions could possibly be used to optimize and predict the efficiency of domestic wastewater treatment in bioreactor parameters.

关键词:

MBR Multivariate linear regression Operating condition Process parameter optimization

作者机构:

  • [ 1 ] [Wang, Zhan]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Chu, Jinshu]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Song, Yin]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Cui, Yanjie]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Yao, Jinmiao]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Chu, Jinshu]Beijing Fluid Filtrat & Separat Technol Res Ctr, Beijing 101312, Peoples R China
  • [ 7 ] [Zhang, Hu]Beijing Fluid Filtrat & Separat Technol Res Ctr, Beijing 101312, Peoples R China
  • [ 8 ] [Zhao, Xinqi]Beijing Fluid Filtrat & Separat Technol Res Ctr, Beijing 101312, Peoples R China
  • [ 9 ] [Li, Zhaohui]Beijing Fluid Filtrat & Separat Technol Res Ctr, Beijing 101312, Peoples R China
  • [ 10 ] [Yao, Jinmiao]Beijing Fluid Filtrat & Separat Technol Res Ctr, Beijing 101312, Peoples R China

通讯作者信息:

  • 王湛

    [Wang, Zhan]Beijing Univ Technol, Coll Environm & Energy Engn, Dept Chem & Chem Engn, Beijing 100124, Peoples R China

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来源 :

DESALINATION

ISSN: 0011-9164

年份: 2009

期: 1-3

卷: 245

页码: 73-81

9 . 9 0 0

JCR@2022

ESI学科: CHEMISTRY;

JCR分区:1

中科院分区:1

被引次数:

WoS核心集被引频次: 36

SCOPUS被引频次: 40

ESI高被引论文在榜: 0 展开所有

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