Evaluating sludge minimization caused by predation and viral infection based on the extended activated sludge model

Xiaodi Hao1, Qilin Wang, Yali Cao

  • 1Key Laboratory of Urban Stormwater System and Water Environment/R & D Centre for Sustainable Environmental Biotechnology, Beijing University of Civil Engineering and Architecture, Ministry of Education, 1 Zhanlanguan Road, Xicheng District, Beijing 100044, PR China. xdhao@hotmail.com

Water Research
|August 9, 2011
PubMed

Insights

Predation and viral infection contribute to sludge minimization in wastewater treatment. Predation offers greater sludge reduction than viral infection, but both have limits to prevent system deterioration.

Area of Science:

  • Environmental microbiology
  • Wastewater treatment technologies
  • Bioprocess modeling

Background:

  • The Activated Sludge Model No. 2d (ASM2d) is a standard for simulating wastewater treatment processes.
  • Understanding factors influencing sludge minimization is crucial for efficient wastewater treatment.
  • Polyphosphate-accumulating organisms (PAOs) play a key role in biological nutrient removal.

Purpose of the Study:

  • To extend the ASM2d model to include predation and viral infection processes.
  • To quantify the contributions of predation and viral infection to sludge minimization in a sequencing batch reactor (SBR) system.
  • To analyze the impact of these processes on system stability and effluent quality.

Main Methods:

  • Extension of the ASM2d model to incorporate predation and viral infection.
  • Calibration and validation of the extended model using experimental data.
  • Simulation of SBR systems to evaluate sludge minimization potentials.

Main Results:

  • Predation contributes approximately twice as much to sludge minimization as viral infection in PAO-enriched SBRs.
  • Sensitivity analyses revealed thresholds for predation and viral infection rates, beyond which effluent quality and sludge retention time degrade.
  • The maximal contribution of predation and viral infection to sludge minimization was estimated at 21% and 9%, respectively.

Conclusions:

  • Predation and viral infection can significantly contribute to sludge minimization in SBRs, but their impact is limited by critical rate thresholds.
  • Further research is needed to accurately determine parameters for predation and especially viral infection, potentially through independent experimental methods.
  • The findings highlight the importance of considering these biological processes in optimizing wastewater treatment designs for sludge reduction.

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