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Related Experiment Video

Updated: Nov 24, 2025

Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
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Comparing three mathematical models using different substrates for prediction of partial nitrification.

Xiaoguang Liu1

  • 1School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0512, United States.

The Science of the Total Environment
|December 29, 2020
PubMed
Summary
This summary is machine-generated.

This study models partial nitrification, comparing models using free ammonia (FA) and free nitrous acids (FNA) versus ammonium and nitrite as substrates. The ammonium/nitrite model showed better consistency with literature data.

Keywords:
Minimum dissolved oxygenPartial nitrificationSolids retention timeTemperaturepH

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Area of Science:

  • Environmental Engineering
  • Biotechnology
  • Water Treatment

Background:

  • Partial nitrification modelling is complex, influenced by substrate selection, ammonia/nitrite inhibition, and pH.
  • Accurate substrate definition is critical for model structure and reliability.

Purpose of the Study:

  • To propose and compare a new mathematical model for partial nitrification using free ammonia (FA) and free nitrous acids (FNA) as substrates.
  • To evaluate model performance against existing models and experimental data.

Main Methods:

  • Developed a novel model with FA and FNA as substrates for ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB).
  • Compared this model with two existing models (ammonium/nitrite and FA/nitrite substrates).
  • Assessed model predictions of minimum dissolved oxygen (DO) under varying solids retention time (SRT), pH, and temperature.

Main Results:

  • Using FA as a substrate increased the predicted minimum DO for AOB.
  • All models showed inconsistencies with literature data, but the ammonium/nitrite model demonstrated better agreement.
  • Model prediction accuracy is influenced by multiple factors, classified into three levels.

Conclusions:

  • The choice of true substrate significantly impacts partial nitrification model structure and predictions.
  • The model utilizing ammonium and nitrite as substrates offers improved consistency for AOB and NOB processes.
  • Findings provide insights for optimizing partial nitrification process design and modelling.