Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis

[1811.00004] Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Quantitative Biology > Quantitative Methods arXiv:1811.00004 (q-bio) [Submitted on 31 Oct 2018] Title: Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis Authors: Carlos Domingo-Félez , Barth F. Smets View a PDF of the paper titled Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis, by Carlos Domingo-F\'elez and Barth F. Smets View PDF Abstract: Nitrous oxide (N2O) is a potent greenhouse gas emitted during biological wastewater treatment. A pseudo-mechanistic model describing three biological pathways for nitric oxide (NO) and N2O production was calibrated for mixed culture biomass from an activated sludge process using laboratory-scale experiments. The model (NDHA) comprehensively describes N2O producing pathways by both autotrophic ammonium oxidizing bacteria and heterotrophic bacteria. Extant respirometric assays and anaerobic batch experiments were designed to calibrate endogenous and exogenous processes (heterotrophic denitrification and autotrophic ammonium/nitrite oxidation) together with the associated net N2O production. Ten parameters describing heterotrophic processes and seven for autotrophic processes were accurately estimated (variance/mean < 25%). The model predicted NO and N2O dynamics at varying dissolved oxygen, ammonium and nitrite levels and was validated against an independent set of experiments with the same biomass. Aerobic ammonium oxidation experiments at two oxygen levels used for model evaluation (2 and 0.5 mg/L) indicated that both the nitrifier denitrification (42, 64%) and heterotrophic denitrification (7, 17%) pathways increased and dominated N2O production at high nitrite and low oxygen concentrations; while the nitrifier nitrification pathway showed the largest contribution at high dissolved oxygen levels (51, 19%). The uncertainty of the biological parameter estimates was propagated to N2O model outputs via Monte Carlo simulations as 95% confidence intervals. The accuracy of the estimated parameters resulted in a low uncertainty of the N2O emission factors (4.6 +- 0.6% and 1.2 +- 0.1%). Comments: Text and Supporting Information Subjects: Quantitative Methods (q-bio.QM) Cite as: arXiv:1811.00004 [q-bio.QM] (or arXiv:1811.00004v1 [q-bio.QM] for this version) https://doi.org/10.48550/arXiv.1811.00004 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1016/j.cej.2019.122311 Focus to learn more DOI(s) linking to related resources Submission history From: Carlos Domingo-Felez [ view email ] [v1] Wed, 31 Oct 2018 09:52:44 UTC (2,498 KB) Full-text links: Access Paper: View a PDF of the paper titled Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis, by Carlos Domingo-F\'elez and Barth F. Smets View PDF view license Current browse context: q-bio.QM < prev | next > new | recent | 2018-11 Change to browse by: q-bio References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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