工业水处理 ›› 2011, Vol. 31 ›› Issue (11): 19-22. doi: 10.11894/1005-829x.2011.31(11).19

• 试验研究 • 上一篇    下一篇

不同NH4+浓度下SBR系统N2O排放研究

朴哲, 荆磊, 李玉敏, 马帅, 陈德莹, 何成达, 殷士学   

  1. 扬州大学环境科学与工程学院, 江苏扬州 225127
  • 收稿日期:2011-08-16 出版日期:2011-11-21 发布日期:2011-11-22
  • 作者简介:朴哲(1968- ),2001年毕业于中国农业大学,博士,副教授,专业副主任,主要从事环境微生物学与水污染控制.电话:13773504033
  • 基金资助:

    国家自然科学基金资助项目(22677047);国家水体污染控制与治理科技重大专项(2008ZX07317-007-1)

Study on nitrous emission from a SBR wastewater treatment system under different NH4+ concentration

Piao Zhe, Jing Lei, Li Yumin, Ma Shuai, Chen Deying, He Chengda, Yin Shixue   

  1. College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China
  • Received:2011-08-16 Online:2011-11-21 Published:2011-11-22

摘要:

研究了不同NH4+浓度下SBR系统脱氮中的N2O排放,并采用PCR-DGGE技术分析了微生物群落特征。结果发现,随着NH4+浓度的提高,氮素转化效率下降,此时脱氮中N2O-N所占比例明显增加,实验条件下N2O-N在脱氮中所占比例在0.25%~6.35%之间;当氮素转化顺利进行时,N2O的排放时期主要在SBR工艺好氧硝化段的同时硝化反硝化阶段,当氮素转化受到抑制时,在好氧硝化段和缺氧反硝化段均有大量N2O排放;不同NH4+浓度下微生物群落会发生相应变化。表明污水脱氮中的N2O排放不仅受氮素转化的影响,同时还受微生物群落结构的影响。

关键词: SBR系统, 氮素转化, 微生物群落, N2O排放

Abstract:

N2O emissions in SBR denitrification process have been studied under different NH4+ concentrations,and PCR-DGGE has been used for analyzing the characteristics of microbial communities. The results show that with the increase of NH4+ concentrations,the efficiency of nitrogen transformation rate decreases in this SBR system.Meantime,the N2O-N proportion in denitrification increases remarkably. Under the experimental conditions,theproportions of N2O-N in denitrification are ranged from 0.25% to 6.35%. When the nitrogen transformation goes favorably,N2O emission period mainly occurs in SND during aerobic nitrification section in SBR. When the nitrogen transformation is inhibited,there are a large number of N2O emissions in aerobic nitrification section and anoxin nitrification section. And the microbial communities have a corresponding changes under different concentrations ofNH4+. The results indicate that N2O emission in wastewater denitrification is affected by not only the nitrogenconversion efficiency but also the changes in microbial community structures.

Key words: sequencing batch reactor system, nitrogen transformation, microbial community, N2O emission

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