Probing the stoichiometry of the nitrification process using the respirometric approach

Liu, Guoqiang; Wang, Jianmin

doi:10.1016/j.watres.2012.08.006

Cited by 50 publications

(23 citation statements)

References 22 publications

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“…These parameters are usually evaluated by means of respirometric tests [4,6,[15][16][17][18]. Indeed, respiration rate is directly linked to two important biochemical processes that must be controlled in a WWTP: biomass growth and substrate consumption [19].…”

Section: Introductionmentioning

confidence: 99%

Implementing a respirometry-based model into BioWin software to simulate wastewater treatment plant operations

Vitanza

Colussi

Cortesi

et al. 2016

Journal of Water Process Engineering

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The management of wastewater treatment plants to comply with new strict effluent criteria is a great concern: the activated sludge modeling, when supported by an accurate calibration process, could be an essential tool for this purpose. In the present paper, three WWTPs were characterized in order to support their up-grade. Influent characteristics and activated sludge performances were studied by application of respirometry. Plant operations were simulated by BioWin software (EnviroSim Associates Ltd., Canada). The goodness of the simulation, checked by the calculation of the average relative deviation between measured and simulated data, demonstrated that the model was able to predict the plant performances

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Section: Introductionmentioning

confidence: 99%

Implementing a respirometry-based model into BioWin software to simulate wastewater treatment plant operations

Vitanza

Colussi

Cortesi

et al. 2016

Journal of Water Process Engineering

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“…With KBase, we could implement separate models for each step for which genomes are available, but for comparison to the traditional model we used a single model for complete denitrification in this test case. The overall reactions used for the nitrification step were based on experimentally-determined stoichiometries (Liu and Wang, 2012) determined by fitting data collected from bench-scale reactors to traditional half-cell reactions (Rittmann and McCarty, 2012), as given by the following reactions:…”

Section: Test Casementioning

confidence: 99%

ORT: A workflow linking genome-scale metabolic models with reactive transport codes

Rubinstein

Borton

Zhou

et al. 2021

Preprint

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Motivation: Advanced modeling tools are available for `omics-based metabolic modeling and for reactive transport modeling, but there is a disconnect between these methods, which hinders linking models across scales. Microbial processes strongly impact many natural systems, and so better capture of microbial dynamics could greatly improve simulations of these systems. Results: Our approach, ORT, applied to environmental metagenomic data from a river system predicted nitrogen cycling patterns with site-specific insight into chemical and biological drivers of nitrification and denitrification processes. Availability and Implementation: Live interactive models are available at https://pflotranmodeling.paf.subsurfaceinsights.com/pflotran-simple-model/. Microbiological data is available at NCBI via BioProject ID PRJNA576070. The code for ORT (written in Python 3) is avail-able at https://github.com/subsurfaceinsights. The KBase narrative used for the test case is publicly available at https://narrative.kbase.us/narrative/71260.

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“…Decreasing pH and DO levels suggested that nitrification, the rate-limiting step for denitrification, was also occurring. Stoichiometry for nitrification predicts about a 4:1 relationship between mass of oxygen consumed for mass of ammonia-nitrified (Metcalf and Eddy 2009;Liu and Wang 2012). Additionally, for each mole of ammonium converted to nitrate, the process creates about 2 moles of H þ atoms, causing a pH drop.…”

Section: Control Wetlandsmentioning

confidence: 99%

Sequestration and Transformation in Chemically Enhanced Treatment Wetlands: DOC, DBPPs, and Nutrients

Bachand¹,

Bachand²,

Kraus

et al. 2019

J. Environ. Eng.

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This paper examines the effectiveness of chemically enhanced treatment wetlands (CETWs), wetlands that received water treated with coagulants, to remove dissolved organic carbon (DOC), disinfection byproduct precursors (DBPPs), nutrients, and metals from agricultural drain water. Wetlands consisted of controls with no coagulant addition, ferric sulfate dosed, and polyaluminum chloride dosed treatments. CETWs were more effective in removing DOC, DBPPs, phosphate, dissolved organic nitrogen, and metals than control wetlands. Coagulation-treated wetlands removed 245-349 g=m 2 =year DOC, whereas control wetlands produced 51 g=m 2 =year. Wetland passage released DOC in the controls and dosed treatments; this release was directly correlated to temperature, suggesting thermally dependent mechanism(s) were partly responsible. A first-order plug flow reactor kinetic model that considered hydraulic retention time (HRT), temperature, and DOC concentration was tested for wetland DOC processing. Models indicate that operating CETWs at high coagulant dosing and low temperature can result in the lowest DOC release. Operating at the lowest HRT to meet discharge targets helps overcome wetland processes that increase DOC release and provide the smallest footprint needed for treatment. individual papers. This paper is part of the Journal of Environmental Engineering, © ASCE, ISSN 0733-9372. © ASCE 04019044-1 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04019044-2 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04019044-3 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. Me for all wetlands. Constants were calculated using nonlinear multivariate regression and modeling was performed using STATISTICA version 8.0. Results DOC and DBPP Concentrations, Loads and Concentration RatiosAverage constituent concentrations, annual loads and concentration ratios for DOC and DBPPs are shown in Tables 1 and 2. Annually, Al and Fe coagulation removed 71%-72% of DOC loads entering the wetlands, 66%-69% of THM precursors, and 79%-81% of © ASCE 04019044-4 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04019044-8 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04019044-12 J. Environ. Eng. J. Environ. Eng., 2019, 145(8): 04019044 Downloaded from ascelibrary.org by 44.224.250.200 on 07/05/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04019044-16 J...

show abstract

Probing the stoichiometry of the nitrification process using the respirometric approach

Cited by 50 publications

References 22 publications

Implementing a respirometry-based model into BioWin software to simulate wastewater treatment plant operations

Implementing a respirometry-based model into BioWin software to simulate wastewater treatment plant operations

ORT: A workflow linking genome-scale metabolic models with reactive transport codes

Sequestration and Transformation in Chemically Enhanced Treatment Wetlands: DOC, DBPPs, and Nutrients

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