The NO3−/NO2− removal and headloss evolution behaviour of a post-denitrification wastewater biofiltration stage using methanol as an external carbon source was modelled. Three datasets collected on different time scales and at different locations on a full-size plant from the Paris conurbation (800 000 population equivalent) were used in this study. The model was first calibrated on a short-term experiment, during which a shift in the methanol to NOX ratio was imposed at the influent of a treatment lane. Measurements were taken at different frequencies at the effluent as well as at different heights inside the media bed. The model was then used on a 240-day period in 2008 to simulate the behaviour of the whole denitrification stage. Results were good overall for most simulated variables, although nitrite was overestimated for the long-term dataset. Results showed that the model is highly sensitive to variations on the amounts of methanol injected during treatment, especially regarding nitrite and headloss.
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September 2014
Research Article|
September 01 2014
Modelling headloss and two-step denitrification in a full-scale wastewater post-denitrifying biofiltration plant
Jean Bernier, PhD;
Jean Bernier, PhD
Postdoctoral fellow
Département de génie civil et de génie des eaux, Université Laval, Québec, Canada
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Vincent Rocher, PhD;
Vincent Rocher, PhD
Senior R&D Engineer
SIAAP – Direction du Développement et de la Prospective, Colombes, France
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Paul Lessard, PhD
Paul Lessard, PhD
Professor
Département de génie civil et de génie des eaux, Université Laval, Québec, Canada
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Publisher: Emerald Publishing
Received:
November 19 2013
Accepted:
June 23 2014
Online ISSN: 1496-256X
Print ISSN: 1496-2551
ICE Publishing: All rights reserved
2014
Journal of Environmental Engineering and Science (2014) 9 (3): 171–180.
Article history
Received:
November 19 2013
Accepted:
June 23 2014
Citation
Bernier J, Rocher V, Lessard P (2014), "Modelling headloss and two-step denitrification in a full-scale wastewater post-denitrifying biofiltration plant". Journal of Environmental Engineering and Science, Vol. 9 No. 3 pp. 171–180, doi: https://doi.org/10.1680/jees.13.00012
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