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Biofilm modeling with AQUASIM.

O Wanner1, E Morgenroth

  • 1Swiss Federal Institute for Environmental Science and Technology (EAWAG), Ueberlandstr, Duebendorf, Switzerland. wanner@eawag.ch

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|August 12, 2004
PubMed
Summary

AQUASIM is a powerful computer program for simulating aquatic systems, offering detailed biofilm modeling. It predicts substrate removal and microbial dynamics in biofilms, aiding in the design and analysis of biofilm reactors.

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Area of Science:

  • Environmental microbiology
  • Biochemical engineering
  • Computational modeling

Background:

  • Biofilm processes are crucial in aquatic systems and industrial reactors.
  • Accurate simulation of biofilm dynamics is essential for process optimization.
  • Existing models may lack the comprehensive features needed for complex biofilm simulations.

Purpose of the Study:

  • To introduce AQUASIM, a versatile computer program for aquatic system simulation.
  • To present a one-dimensional multisubstrate and multispecies biofilm model within AQUASIM.
  • To demonstrate AQUASIM's capability for simulating substrate removal and microbial dynamics in biofilm reactors.

Main Methods:

  • Development of a one-dimensional multisubstrate and multispecies biofilm model.

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  • Incorporation of substrate and microbial species spatial profiles prediction.
  • Inclusion of biofilm thickness, cell attachment/detachment, and sloughing event simulations.
  • Pseudo two-dimensional modeling of plug flow biofilm reactors using compartments.
  • Main Results:

    • AQUASIM successfully simulates substrate removal in biofilm reactors.
    • The program predicts one-dimensional spatial profiles of substrates and microbial species.
    • Development of biofilm thickness and microbial populations over time is calculated.
    • Simulations can incorporate cell detachment, attachment, and sloughing events.

    Conclusions:

    • AQUASIM is a suitable tool for biofilm simulation and analysis.
    • The model provides valuable insights into substrate removal and microbial dynamics.
    • The program facilitates the design and optimization of biofilm reactors.
    • A key limitation is the consideration of spatial gradients only in one dimension.