Large-scale multi-stage constructed wetlands for secondary effluents treatment in northern China: Carbon dynamics

Wu, H; Fan, J; Zhang, J; Ngo, HH; Guo, W

Large-scale multi-stage constructed wetlands for secondary effluents treatment in northern China: Carbon dynamics

Wu, H Fan, J Zhang, J Ngo, HH

Guo, W

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Publication Type:: Journal Article
Citation:: Environmental Pollution, 2018, 233 pp. 933 - 942
Issue Date:: 2018-02-01

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Field	Value	Language
dc.contributor.author	Wu, H	en_US
dc.contributor.author	Fan, J	en_US
dc.contributor.author	Zhang, J	en_US
dc.contributor.author	Ngo, HH https://orcid.org/0000-0002-0296-2866	en_US
dc.contributor.author	Guo, W https://orcid.org/0000-0001-5542-2858	en_US
dc.date.available	2020-05-25T19:03:11Z
dc.date.issued	2018-02-01	en_US
dc.identifier.citation	Environmental Pollution, 2018, 233 pp. 933 - 942	en_US
dc.identifier.issn	0269-7491	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122144
dc.description.abstract	© 2017 Elsevier Ltd Multi-stage constructed wetlands (CWs) have been proved to be a cost-effective alternative in the treatment of various wastewaters for improving the treatment performance as compared with the conventional single-stage CWs. However, few long-term full-scale multi-stage CWs have been performed and evaluated for polishing effluents from domestic wastewater treatment plants (WWTP). This study investigated the seasonal and spatial dynamics of carbon and the effects of the key factors (input loading and temperature) in the large-scale seven-stage Wu River CW polishing domestic WWTP effluents in northern China. The results indicated a significant improvement in water quality. Significant seasonal and spatial variations of organics removal were observed in the Wu River CW with a higher COD removal efficiency of 64–66% in summer and fall. Obvious seasonal and spatial variations of CH4 and CO2 emissions were also found with the average CH4 and CO2 emission rates of 3.78–35.54 mg m−2 d−1 and 610.78–8992.71 mg m−2 d−1, respectively, while the higher CH4 and CO2 emission flux was obtained in spring and summer. Seasonal air temperatures and inflow COD loading rates significantly affected organics removal and CH4 emission, but they appeared to have a weak influence on CO2 emission. Overall, this study suggested that large-scale Wu River CW might be a potential source of GHG, but considering the sustainability of the multi-stage CW, the inflow COD loading rate of 1.8–2.0 g m−2 d−1 and temperature of 15–20 °C may be the suitable condition for achieving the higher organics removal efficiency and lower greenhouse gases (GHG) emission in polishing the domestic WWTP effluent. The obtained knowledge of the carbon dynamics in large-scale Wu River CW will be helpful for understanding the carbon cycles, but also can provide useful field experience for the design, operation and management of multi-stage CW treatments.	en_US
dc.relation.ispartof	Environmental Pollution	en_US
dc.relation.isbasedon	10.1016/j.envpol.2017.09.048	en_US
dc.subject.classification	Environmental Sciences	en_US
dc.subject.mesh	Carbon Dioxide	en_US
dc.subject.mesh	Carbon	en_US
dc.subject.mesh	Methane	en_US
dc.subject.mesh	Seasons	en_US
dc.subject.mesh	Waste Disposal, Fluid	en_US
dc.subject.mesh	China	en_US
dc.subject.mesh	Wetlands	en_US
dc.subject.mesh	Carbon Cycle	en_US
dc.subject.mesh	Water Quality	en_US
dc.subject.mesh	Waste Water	en_US
dc.title	Large-scale multi-stage constructed wetlands for secondary effluents treatment in northern China: Carbon dynamics	en_US
dc.type	Journal Article
utslib.citation.volume	233	en_US
utslib.for	0907 Environmental Engineering	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	open_access
pubs.publication-status	Published	en_US
pubs.volume	233	en_US

Abstract:

© 2017 Elsevier Ltd Multi-stage constructed wetlands (CWs) have been proved to be a cost-effective alternative in the treatment of various wastewaters for improving the treatment performance as compared with the conventional single-stage CWs. However, few long-term full-scale multi-stage CWs have been performed and evaluated for polishing effluents from domestic wastewater treatment plants (WWTP). This study investigated the seasonal and spatial dynamics of carbon and the effects of the key factors (input loading and temperature) in the large-scale seven-stage Wu River CW polishing domestic WWTP effluents in northern China. The results indicated a significant improvement in water quality. Significant seasonal and spatial variations of organics removal were observed in the Wu River CW with a higher COD removal efficiency of 64–66% in summer and fall. Obvious seasonal and spatial variations of CH4 and CO2 emissions were also found with the average CH4 and CO2 emission rates of 3.78–35.54 mg m−2 d−1 and 610.78–8992.71 mg m−2 d−1, respectively, while the higher CH4 and CO2 emission flux was obtained in spring and summer. Seasonal air temperatures and inflow COD loading rates significantly affected organics removal and CH4 emission, but they appeared to have a weak influence on CO2 emission. Overall, this study suggested that large-scale Wu River CW might be a potential source of GHG, but considering the sustainability of the multi-stage CW, the inflow COD loading rate of 1.8–2.0 g m−2 d−1 and temperature of 15–20 °C may be the suitable condition for achieving the higher organics removal efficiency and lower greenhouse gases (GHG) emission in polishing the domestic WWTP effluent. The obtained knowledge of the carbon dynamics in large-scale Wu River CW will be helpful for understanding the carbon cycles, but also can provide useful field experience for the design, operation and management of multi-stage CW treatments.

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http://hdl.handle.net/10453/122144