Modelling of simultaneous nitrogen and thiocyanate removal through coupling thiocyanate-based denitrification with anaerobic ammonium oxidation

Chen, X; Yang, L; Sun, J; Dai, X; Ni, BJ

Modelling of simultaneous nitrogen and thiocyanate removal through coupling thiocyanate-based denitrification with anaerobic ammonium oxidation

Chen, X Yang, L Sun, J Dai, X Ni, BJ

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Publication Type:: Journal Article
Citation:: Environmental Pollution, 2019, 253 pp. 974 - 980
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Chen, X	en_US
dc.contributor.author	Yang, L	en_US
dc.contributor.author	Sun, J	en_US
dc.contributor.author	Dai, X	en_US
dc.contributor.author	Ni, BJ https://orcid.org/0000-0002-1129-7837	en_US
dc.date.available	2019-07-19	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	Environmental Pollution, 2019, 253 pp. 974 - 980	en_US
dc.identifier.issn	0269-7491	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138698
dc.description.abstract	© 2019 Elsevier Ltd Thiocyanate (SCN−)-based autotrophic denitrification (AD) has recently been demonstrated as a promising technology that could be integrated with anaerobic ammonium oxidation (Anammox) to achieve simultaneous removal of nitrogen and SCN−. However, there is still a lack of a complete SCN−-based AD model, and the potential microbial competition/synergy between AD bacteria and Anammox bacteria under different operating conditions remains unknown, which significantly hinders the possible application of coupling SCN−-based AD with Anammox. To this end, a complete SCN−-based AD model was firstly developed and reliably calibrated/validated using experimental datasets. The obtained SCN−-based AD model was then integrated with the well-established Anammox model and satisfactorily verified with experimental data from a system coupling AD with Anammox. The integrated model was lastly applied to investigate the impacts of influent NH4+-N/NO2−-N ratio and SCN− concentration on the steady-state microbial composition as well as the removal of nitrogen and SCN−. The results showed that the NH4+-N/NO2−-N ratio in the presence of a certain SCN− level should be controlled at a proper value so that the maximum synergy between AD bacteria and Anammox bacteria could be achieved while their competition for NO2− would be minimized. For the simultaneous maximum removal (>95%) of nitrogen and SCN−, there existed a negative relationship between the influent SCN− concentration and the optimal NH4+-N/NO2−-N ratio needed. High-level (>95%) simultaneous removal of nitrogen and thiocyanate could be achieved through combining thiocyanate-based autotrophic denitrification and Anammox.	en_US
dc.relation.ispartof	Environmental Pollution	en_US
dc.relation.isbasedon	10.1016/j.envpol.2019.07.104	en_US
dc.subject.classification	Environmental Sciences	en_US
dc.subject.mesh	Bacteria	en_US
dc.subject.mesh	Nitrogen	en_US
dc.subject.mesh	Ammonium Compounds	en_US
dc.subject.mesh	Thiocyanates	en_US
dc.subject.mesh	Oxidation-Reduction	en_US
dc.subject.mesh	Models, Chemical	en_US
dc.subject.mesh	Autotrophic Processes	en_US
dc.subject.mesh	Denitrification	en_US
dc.title	Modelling of simultaneous nitrogen and thiocyanate removal through coupling thiocyanate-based denitrification with anaerobic ammonium oxidation	en_US
dc.type	Journal Article
utslib.citation.volume	253	en_US
pubs.embargo.period	Not known	en_US
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
pubs.publication-status	Published	en_US
pubs.volume	253	en_US

Abstract:

© 2019 Elsevier Ltd Thiocyanate (SCN−)-based autotrophic denitrification (AD) has recently been demonstrated as a promising technology that could be integrated with anaerobic ammonium oxidation (Anammox) to achieve simultaneous removal of nitrogen and SCN−. However, there is still a lack of a complete SCN−-based AD model, and the potential microbial competition/synergy between AD bacteria and Anammox bacteria under different operating conditions remains unknown, which significantly hinders the possible application of coupling SCN−-based AD with Anammox. To this end, a complete SCN−-based AD model was firstly developed and reliably calibrated/validated using experimental datasets. The obtained SCN−-based AD model was then integrated with the well-established Anammox model and satisfactorily verified with experimental data from a system coupling AD with Anammox. The integrated model was lastly applied to investigate the impacts of influent NH4+-N/NO2−-N ratio and SCN− concentration on the steady-state microbial composition as well as the removal of nitrogen and SCN−. The results showed that the NH4+-N/NO2−-N ratio in the presence of a certain SCN− level should be controlled at a proper value so that the maximum synergy between AD bacteria and Anammox bacteria could be achieved while their competition for NO2− would be minimized. For the simultaneous maximum removal (>95%) of nitrogen and SCN−, there existed a negative relationship between the influent SCN− concentration and the optimal NH4+-N/NO2−-N ratio needed. High-level (>95%) simultaneous removal of nitrogen and thiocyanate could be achieved through combining thiocyanate-based autotrophic denitrification and Anammox.

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http://hdl.handle.net/10453/138698