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Nitrous oxide production in co-versus counter-diffusion nitrifying biofilms

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Abstract
For the application of biofilm processes, a better understanding of nitrous oxide (N2O) formation within the biofilm is essential for design and operation of biofilm reactors with minimized N2O emissions. In this work, a previously established N2O model incorporating both ammonia oxidizing bacteria (AOB) denitrification and hydroxylamine (NH2OH) oxidation pathways is applied in two structurally different biofilm systems to assess the effects of co-and counter-diffusion on N2O production. It is demonstrated that the diffusion of NH2OH and oxygen within both types of biofilms would form an anoxic layer with the presence of NH2OH and nitrite (NO2-), which would result in a high N2O production via AOB denitrification pathway. As a result, AOB denitrification pathway is dominant over NH2OH oxidation pathway within the co- and counter-diffusion biofilms. In comparison, the co-diffusion biofilm may generate substantially higher N2O than the counter-diffusion biofilm due to the higher accumulation of NH2OH in co-diffusion biofilm, especially under the condition of high-strength ammonium influent (500 mg N/L), thick biofilm depth (300 mu m) and moderate oxygen loading (-1-similar to 4 m(3)/d). The effect of co- and counter-diffusion on N2O production from the AOB biofilm is minimal when treating low-strength nitrogenous wastewater.
Keywords
N2O PRODUCTION, AMMONIA-OXIDIZING BACTERIA, DISSOLVED-OXYGEN, MATHEMATICAL-MODELS, ACTIVATED-SLUDGE, NITRIC-OXIDE, ONE-STAGE, REMOVAL, HYDROXYLAMINE, REACTOR

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Citation

Please use this url to cite or link to this publication:

Chicago
Peng, Lai, Jing Sun, Yiwen Liu, Xiaohu Dai, and Bing-Jie Ni. 2016. “Nitrous Oxide Production in Co-versus Counter-diffusion Nitrifying Biofilms.” Scientific Reports 6.
APA
Peng, L., Sun, J., Liu, Y., Dai, X., & Ni, B.-J. (2016). Nitrous oxide production in co-versus counter-diffusion nitrifying biofilms. SCIENTIFIC REPORTS, 6.
Vancouver
1.
Peng L, Sun J, Liu Y, Dai X, Ni B-J. Nitrous oxide production in co-versus counter-diffusion nitrifying biofilms. SCIENTIFIC REPORTS. 2016;6.
MLA
Peng, Lai, Jing Sun, Yiwen Liu, et al. “Nitrous Oxide Production in Co-versus Counter-diffusion Nitrifying Biofilms.” SCIENTIFIC REPORTS 6 (2016): n. pag. Print.
@article{8057403,
  abstract     = {For the application of biofilm processes, a better understanding of nitrous oxide (N2O) formation within the biofilm is essential for design and operation of biofilm reactors with minimized N2O emissions. In this work, a previously established N2O model incorporating both ammonia oxidizing bacteria (AOB) denitrification and hydroxylamine (NH2OH) oxidation pathways is applied in two structurally different biofilm systems to assess the effects of co-and counter-diffusion on N2O production. It is demonstrated that the diffusion of NH2OH and oxygen within both types of biofilms would form an anoxic layer with the presence of NH2OH and nitrite (NO2-), which would result in a high N2O production via AOB denitrification pathway. As a result, AOB denitrification pathway is dominant over NH2OH oxidation pathway within the co- and counter-diffusion biofilms. In comparison, the co-diffusion biofilm may generate substantially higher N2O than the counter-diffusion biofilm due to the higher accumulation of NH2OH in co-diffusion biofilm, especially under the condition of high-strength ammonium influent (500 mg N/L), thick biofilm depth (300 mu m) and moderate oxygen loading (-1-similar to 4 m(3)/d). The effect of co- and counter-diffusion on N2O production from the AOB biofilm is minimal when treating low-strength nitrogenous wastewater.},
  articleno    = {28880},
  author       = {Peng, Lai and Sun, Jing and Liu, Yiwen and Dai, Xiaohu and Ni, Bing-Jie},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  language     = {eng},
  pages        = {10},
  title        = {Nitrous oxide production in co-versus counter-diffusion nitrifying biofilms},
  url          = {http://dx.doi.org/10.1038/srep28880},
  volume       = {6},
  year         = {2016},
}

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