Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways.
- Publisher:
- AMER CHEMICAL SOC
- Publication Type:
- Journal Article
- Citation:
- Environ Sci Technol, 2014, 48, (7), pp. 3916-3924
- Issue Date:
- 2014-04-01
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Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways..pdf | Published version | 2.43 MB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Ni, B-J | |
dc.contributor.author | Peng, L | |
dc.contributor.author | Law, Y | |
dc.contributor.author | Guo, J | |
dc.contributor.author | Yuan, Z | |
dc.date.accessioned | 2023-03-23T23:13:19Z | |
dc.date.available | 2023-03-23T23:13:19Z | |
dc.date.issued | 2014-04-01 | |
dc.identifier.citation | Environ Sci Technol, 2014, 48, (7), pp. 3916-3924 | |
dc.identifier.issn | 0013-936X | |
dc.identifier.issn | 1520-5851 | |
dc.identifier.uri | http://hdl.handle.net/10453/168282 | |
dc.description.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. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | AMER CHEMICAL SOC | |
dc.relation | http://purl.org/au-research/grants/arc/DE130100451 | |
dc.relation | http://purl.org/au-research/grants/arc/DP130103147 | |
dc.relation.ispartof | Environ Sci Technol | |
dc.relation.isbasedon | 10.1021/es405592h | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject.classification | Environmental Sciences | |
dc.subject.mesh | Ammonia | |
dc.subject.mesh | Autotrophic Processes | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Biodegradation, Environmental | |
dc.subject.mesh | Calibration | |
dc.subject.mesh | Denitrification | |
dc.subject.mesh | Models, Biological | |
dc.subject.mesh | Nitrites | |
dc.subject.mesh | Nitrous Oxide | |
dc.subject.mesh | Oxidation-Reduction | |
dc.subject.mesh | Oxygen | |
dc.subject.mesh | Reproducibility of Results | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Nitrites | |
dc.subject.mesh | Oxygen | |
dc.subject.mesh | Ammonia | |
dc.subject.mesh | Nitrous Oxide | |
dc.subject.mesh | Calibration | |
dc.subject.mesh | Reproducibility of Results | |
dc.subject.mesh | Oxidation-Reduction | |
dc.subject.mesh | Models, Biological | |
dc.subject.mesh | Biodegradation, Environmental | |
dc.subject.mesh | Autotrophic Processes | |
dc.subject.mesh | Denitrification | |
dc.subject.mesh | Ammonia | |
dc.subject.mesh | Autotrophic Processes | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Biodegradation, Environmental | |
dc.subject.mesh | Calibration | |
dc.subject.mesh | Denitrification | |
dc.subject.mesh | Models, Biological | |
dc.subject.mesh | Nitrites | |
dc.subject.mesh | Nitrous Oxide | |
dc.subject.mesh | Oxidation-Reduction | |
dc.subject.mesh | Oxygen | |
dc.subject.mesh | Reproducibility of Results | |
dc.title | Modeling of nitrous oxide production by autotrophic ammonia-oxidizing bacteria with multiple production pathways. | |
dc.type | Journal Article | |
utslib.citation.volume | 48 | |
utslib.location.activity | United States | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering | |
pubs.organisational-group | /University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2023-03-23T23:13:18Z | |
pubs.issue | 7 | |
pubs.publication-status | Published | |
pubs.volume | 48 | |
utslib.citation.issue | 7 |
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.
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