Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/99486
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Type: Journal article
Title: Full-scale modeling explaining large spatial variations of nitrous oxide fluxes in a step-feed plug-flow wastewater treatment reactor
Author: Ni, B.
Pan, Y.
van den Akker, B.
Ye, L.
Yuan, Z.
Citation: Environmental Science and Technology (Washington), 2015; 49(15):9176-9184
Publisher: American Chemical Society
Issue Date: 2015
ISSN: 0013-936X
1520-5851
Statement of
Responsibility: 
Bing-Jie Ni, Yuting Pan, Ben van den Akker, Liu Ye and Zhiguo Yuan
Abstract: Nitrous oxide (N2O) emission data collected from wastewater treatment plants (WWTPs) show huge variations between plants and within one plant (both spatially and temporarily). Such variations and the relative contributions of various N2O production pathways are not fully understood. This study applied a previously established N2O model incorporating two currently known N2O production pathways by ammonia-oxidizing bacteria (AOB) (namely the AOB denitrification and the hydroxylamine pathways) and the N2O production pathway by heterotrophic denitrifiers to describe and provide insights into the large spatial variations of N2O fluxes in a step-feed full-scale activated sludge plant. The model was calibrated and validated by comparing simulation results with 40 days of N2O emission monitoring data as well as other water quality parameters from the plant. The model demonstrated that the relatively high biomass specific nitrogen loading rate in the Second Step of the reactor was responsible for the much higher N2O fluxes from this section. The results further revealed the AOB denitrification pathway decreased and the NH2OH oxidation pathway increased along the path of both Steps due to the increasing dissolved oxygen concentration. The overall N2O emission from this step-feed WWTP would be largely mitigated if 30% of the returned sludge were returned to the Second Step to reduce its biomass nitrogen loading rate.
Keywords: Waste water
Rights: Copyright © 2015 American Chemical Society
DOI: 10.1021/acs.est.5b02038
Grant ID: http://purl.org/au-research/grants/arc/DE130100451
http://purl.org/au-research/grants/arc/DP130103147
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Chemical Engineering publications

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