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Evaluation of the impact of organic material on the anaerobic methane and ammonium removal in a membrane aerated biofilm reactor (MABR) based on the multispecies biofilm modeling

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Abstract

The simultaneous nitrogen and methane removal by the combined nitritation, anaerobic ammonium oxidation (anammox), and nitrite dependent anaerobic methane oxidation (n-damo) processes in the membrane aerated biofilm reactor (MABR) offers clear advantages in term of energy saving and greenhouse gas emission mitigation. The rejected water from sludge digestion usually contained high ammonium, COD, and dissolved methane. The impact of influent COD on the anaerobic methane and ammonium removal in an MABR was evaluated in the model based study. The results indicated that the influent COD did not reduce the methane and ammonium removal efficiency at C/N ratio (influent COD/NH4 +-N) less than 0.1. At high C/N ratio, the oxygen transfer coefficient needed to be increased to achieve high methane and nitrogen removal. Substrate flux analysis indicated that heterotrophic denitrification in the outside layer of biofilm reduced the impact of influent COD. Heterotrophic growth needed to be limited at the outside layer by using NO3 − as electron acceptor; otherwise, the heterotrophic bacteria would compete NO2 − and space with anammox and n-damo bacteria in the inner layers and reduce the nitrogen and methane removal efficiency.

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Acknowledgments

J. Wu acknowledges the high-end talent program provided by Yangzhou University, China. The study is supported by the Natural Science Foundation of China (Grant number 51478410).

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Authors and Affiliations

  1. School of Environmental Engineering and Science, Yangzhou University, 196 West Huayang Road, Yangzhou, Jiangsu, 225127, China

    Jun Wu & Yue Zhang

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  1. Jun Wu
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  2. Yue Zhang
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Correspondence to Jun Wu.

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Responsible editor: Bingcai Pan

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Wu, J., Zhang, Y. Evaluation of the impact of organic material on the anaerobic methane and ammonium removal in a membrane aerated biofilm reactor (MABR) based on the multispecies biofilm modeling. Environ Sci Pollut Res 24, 1677–1685 (2017). https://doi.org/10.1007/s11356-016-7938-9

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  • DOI: https://doi.org/10.1007/s11356-016-7938-9

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