The aim of this work is to compare the capability of two recently proposed two-pathway models for predicting nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB) for varying ranges of dissolved oxygen (DO) and nitrite. The first model includes the electron carriers whereas the second model is based on direct coupling of electron donors and acceptors. Simulations are confronted to extensive sets of experiments (43 batches) from different studies with three different microbial systems. Despite their different mathematical structures, both models could well and similarly describe the combined effect of DO and nitrite on N2O production rate and emission factor. The model-predicted contributions for nitrifier denitrification pathway and hydroxylamine pathway also matched well with the available isotopic measurements. Based on sensitivity analysis, calibration procedures are described and discussed for facilitating the future use of those models.
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Research Article|
August 24 2016
Comparison of different two-pathway models for describing the combined effect of DO and nitrite on the nitrous oxide production by ammonia-oxidizing bacteria
Longqi Lang;
Longqi Lang
1LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France
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Mathieu Pocquet;
Mathieu Pocquet
1LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France
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Bing-Jie Ni;
Bing-Jie Ni
2Advanced Water Management Centre, The University of Queensland, St Lucia, QLD 4072, Australia
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Zhiguo Yuan;
Zhiguo Yuan
2Advanced Water Management Centre, The University of Queensland, St Lucia, QLD 4072, Australia
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Mathieu Spérandio
1LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France
E-mail: [email protected]
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Water Sci Technol (2017) 75 (3): 491–500.
Article history
Received:
June 01 2016
Accepted:
August 04 2016
Citation
Longqi Lang, Mathieu Pocquet, Bing-Jie Ni, Zhiguo Yuan, Mathieu Spérandio; Comparison of different two-pathway models for describing the combined effect of DO and nitrite on the nitrous oxide production by ammonia-oxidizing bacteria. Water Sci Technol 13 February 2017; 75 (3): 491–500. doi: https://doi.org/10.2166/wst.2016.389
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