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Related Experiment Videos

In-sewer wastewater characterization and model parameter determination using respirometry.

Maria do Céu Almeida1, David Butler

  • 1Department of Civil and Environmental Engineering, Imperial College of Science, Technology and Medicine, London. mcalmeida@lnec.pt

Water Environment Research : a Research Publication of the Water Environment Federation
|August 2, 2002
PubMed
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Respirometric assays help determine wastewater model parameters, reducing calibration needs. This method aids in understanding chemical oxygen demand (COD) fractions and biochemical processes in sewers.

Area of Science:

  • Environmental Engineering
  • Water Quality Modeling
  • Biochemical Engineering

Background:

  • Accurate modeling of in-sewer processes necessitates experimental determination of wastewater characteristics and model parameters.
  • Respirometric assays offer a method to determine specific model parameters, thereby simplifying the calibration and verification process.

Purpose of the Study:

  • To propose a procedure for determining chemical oxygen demand (COD) fractions and biochemical process parameters using respirometric assays.
  • To evaluate the utility of cumulative oxygen utilization for process identification and substrate availability assessment.

Main Methods:

  • Utilized a model comprising hydrodynamics, advection-dispersion, and biochemical modules for aerobic dry-weather flow conditions.
  • Employed respirometric assays to measure cumulative oxygen utilization.

Related Experiment Videos

  • Developed a procedure to determine COD fractions and model parameters based on assay results.

    • Main Results:

    • Cumulative oxygen utilization provides valuable insights into substrate availability during respirometric assays.
    • The proposed procedure successfully determined key COD fractions and biochemical model parameters.
    • Obtained parameter values and COD fractions are dependent on the adopted model structure.

    Conclusions:

    • Respirometric assays are effective for determining wastewater model parameters, reducing the complexity of calibration.
    • The developed procedure, while model-dependent, is adaptable to various model formulations for in-sewer process analysis.
    • This approach enhances the robustness of wastewater modeling by providing experimentally derived parameter data.