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Respirometry techniques and activated sludge models.

O Benes1, H Spanjers, M Holba

  • 1Anglian Water, Praha, Czech Republic.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|October 4, 2002
PubMed
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This study refines the Activated Sludge Model No. 1 (ASM No. 1) with an enzymatic model, improving respirometry data fit. Washing sludge samples and considering allylthiourea (ATU) effects enhance accuracy in wastewater treatment analysis.

Area of Science:

  • Environmental Engineering
  • Wastewater Treatment
  • Biochemical Engineering

Background:

  • Activated Sludge Model No. 1 (ASM No. 1) is a standard for simulating wastewater treatment processes.
  • Limitations in ASM No. 1's predictive accuracy for respirometry data necessitate model improvements.
  • Understanding biomass activity and influencing factors is crucial for effective wastewater treatment.

Purpose of the Study:

  • To enhance the predictive capabilities of ASM No. 1 for respirometry experiments.
  • To develop and validate an 'Enzymatic model' as a modification of ASM No. 1.
  • To investigate the impact of biomass pre-conditioning and allylthiourea (ATU) on respirometry results.

Main Methods:

  • Application and modification of Activated Sludge Model No. 1 (ASM No. 1).

Related Experiment Videos

  • Development of an 'Enzymatic model' incorporating proposed modifications.
  • Utilized best-fit methods for parameter determination and analyzed respirometry data.
  • Examined effects of biomass washing and allylthiourea (ATU) on sludge activity.
  • Main Results:

    • The modified 'Enzymatic model' showed increased agreement with respirometry data, especially for acetate metabolism.
    • Biomass pre-conditioning methods significantly influenced sample activity and respirometry outcomes.
    • Washing activated sludge with tap water or mineral medium can restore original activity.
    • Allylthiourea (ATU) significantly affects activated sludge activity and respiration rates, impacting analyses.

    Conclusions:

    • The 'Enzymatic model' offers improved simulation accuracy for respirometry data compared to standard ASM No. 1.
    • Biomass pre-treatment and the presence of inhibitors like ATU are critical factors to consider in respirometry studies.
    • Optimized modeling and sample handling protocols are essential for reliable wastewater treatment process assessment.