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作者:

Wang Xiaolian (Wang Xiaolian.) | Peng Yongzhen (Peng Yongzhen.) (学者:彭永臻) | Wang Shuying (Wang Shuying.) (学者:王淑莹) | Fan Jie (Fan Jie.) | Cao Xuemei (Cao Xuemei.)

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摘要:

A bench-scale anaerobic-anoxic-oxic (A(2)O) bioreactor with steady denitrifying phosphorus removal performance was tested to determine the influence of influent C/N ratio (SCOD/TN) and C/P ratio (SCOD/ TP) on biological nutrient removal for treating synthetic brewage wastewater; meanwhile, the spatial profiles of DO pH and ORP sensors in such systems were investigated. The results showed that influent C/N ratio had significant effect on the TN, TP removal efficiencies and the ratio of anoxic to aerobic P uptake amount. The maximal TN and TP removal efficiencies could be achieved when influent C/N ratio was kept at about 7.1 and 5, respectively. Besides, the ratio of anoxic to aerobic P uptake amount was found to be linearly dependent on the influent C/N ratio with coefficient R-2 of 0.685 when total recirculation ratio was constant at 3.5. Influent C/P ratio had an important effect on the TP removal efficiency, while it hardly affected TN removal efficiency. In addition, the TP removal efficiency reached the maximum for influent C/P ratio of 42. On the other hand, it was also found that the typical profiles of DO, pH and ORP sensors could be observed, and they have similar trends at the different influent C/N ratio and C/P ratio. It was suggested that the operational state could be well known according to the changes of simple online sensors.

关键词:

C/P ratio pH A(2)O process C/N ratio ORP DO

作者机构:

  • [ 1 ] Beijing Univ Technol, Key Lab Beijing Water Environm Recovery, Beijing 100022, Peoples R China
  • [ 2 ] Harbin Inst Technol, Sch Municipal & Environm Engn, Harbin 150090, Peoples R China

通讯作者信息:

  • [Wang Xiaolian]Beijing Univ Technol, Key Lab Beijing Water Environm Recovery, Pingleyuan 100,Chaoyang Dist, Beijing 100022, Peoples R China

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来源 :

BIOPROCESS AND BIOSYSTEMS ENGINEERING

ISSN: 1615-7591

年份: 2006

期: 6

卷: 28

页码: 397-404

3 . 8 0 0

JCR@2022

ESI学科: ENGINEERING;

JCR分区:2

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SCOPUS被引频次: 68

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