Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways

Ni, Bing-Jie, Peng, Lai, Law, Yingyu, Guo, Jianhua and Yuan, Zhiguo (2014) Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways. Environmental Science and Technology, 48 7: 3916-3924. doi:10.1021/es405592h


Author Ni, Bing-Jie
Peng, Lai
Law, Yingyu
Guo, Jianhua
Yuan, Zhiguo
Title Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways
Journal name Environmental Science and Technology   Check publisher's open access policy
ISSN 0013-936X
1520-5851
Publication date 2014-04-01
Year available 2014
Sub-type Article (original research)
DOI 10.1021/es405592h
Open Access Status Not Open Access
Volume 48
Issue 7
Start page 3916
End page 3924
Total pages 9
Place of publication Washington, DC United States
Publisher American Chemical Society
Language eng
Subject 1600 Chemistry
2304 Environmental Chemistry
Abstract Autotrophic ammonia oxidizing bacteria (AOB) have been recognized as a major contributor to N2O production in wastewater treatment systems. However, so far N2O models have been proposed based on a single N2O production pathway by AOB, and there is still a lack of effective approach for the integration of these models. In this work, an integrated mathematical model that considers multiple production pathways is developed to describe N2O production by AOB the pathways considered include the nitrifier denitrification pathway (N2O as the final product of AOB denitrification with NO2 - as the terminal electron acceptor) and the hydroxylamine (NH2OH) pathway (N2O as a byproduct of incomplete oxidation of NH2OH to NO2 -). In this model, the oxidation and reduction processes are modeled separately, with intracellular electron carriers introduced to link the two types of processes the model is calibrated and validated using experimental data obtained with two independent nitrifying cultures the model satisfactorily describes the N2O data from both systems the model also predicts shifts of the dominating pathway at various dissolved oxygen (DO) and nitrite levels, consistent with previous hypotheses. This unified model is expected to enhance our ability to predict N2O production by AOB in wastewater treatment systems under varying operational conditions.
Keyword Engineering, Environmental
Environmental Sciences
Engineering
Environmental Sciences & Ecology
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DE130100451
DP130103147
LP0991765
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Advanced Water Management Centre Publications
 
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