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A method to estimate the direct nitrous oxide emissions of municipal wastewater treatment plants based on the degree of nitrogen removal.
- Source :
-
Journal of environmental management [J Environ Manage] 2021 Feb 01; Vol. 279, pp. 111563. Date of Electronic Publication: 2020 Nov 12. - Publication Year :
- 2021
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Abstract
- The greenhouse gas nitrous oxide (N <subscript>2</subscript> O) is produced in activated sludge tanks as a byproduct of nitrification and heterotrophic denitrification. Insufficient knowledge on how microbiological N <subscript>2</subscript> O generation and degradation pathways impact N <subscript>2</subscript> O emissions in activated sludge tanks still hampers the development of effective mitigation strategies. Our research contributes to overcome this gap by quantifying N <subscript>2</subscript> O emissions through extensive measurement campaigns at ten full-scale wastewater treatment plants and correlating them to relevant operating parameters by multivariate regression analysis. Measurements revealed that N <subscript>2</subscript> O production depends mainly on the activity of nitrifying bacteria and is triggered by high ammonium concentrations. In contrast, well-performing heterotrophic denitrification plays a key role as a sink of N <subscript>2</subscript> O in activated sludge tanks. Following these patterns, low loaded plants achieving high nitrogen removal (83-92%) exhibited the lowest N <subscript>2</subscript> O emission intensity (0.0012 ± 0.001 kg N <subscript>2</subscript> O-N emitted per kg TKN in the influent wastewater). The regression analysis corroborated these results by revealing a negative linear correlation between the N <subscript>2</subscript> O emission factor and the total nitrogen removal degree of the plants. The regression model represents a novel estimation method that links N <subscript>2</subscript> O emissions with plant performance and provides a significant improvement over approaches applying fixed N <subscript>2</subscript> O emission factors.<br /> (Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1095-8630
- Volume :
- 279
- Database :
- MEDLINE
- Journal :
- Journal of environmental management
- Publication Type :
- Academic Journal
- Accession number :
- 33189422
- Full Text :
- https://doi.org/10.1016/j.jenvman.2020.111563