Modern scientific methods and their potential in wastewater science and technology

Peter A. Wilderer*, Hans Joachim Bungartz, Hilde Lemmer, Michael Wagner, Jurg Keller, Stefan Wuertz

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

63 Citations (Scopus)

Abstract

Application of novel analytical and investigative methods such as fluorescence in situ hybridization, confocal laser scanning microscopy (CLSM), microelectrodes and advanced numerical simulation has led to new insights into micro- and macroscopic processes in bioreactors. However, the question is still open whether or not these new findings and the subsequent gain of knowledge are of significant practical relevance and if so, where and how. To find suitable answers it is necessary for engineers to know what can be expected by applying these modern analytical tools. Similarly, scientists could benefit significantly from an intensive dialogue with engineers in order to find out about practical problems and conditions existing in wastewater treatment systems. In this paper, an attempt is made to help bridge the gap between science and engineering in biological wastewater treatment. We provide an overview of recently developed methods in microbiology and in mathematical modeling and numerical simulation. A questionnaire is presented which may help generate a platform from which further technical and scientific developments can be accomplished. Both the paper and the questionnaire are aimed at encouraging scientists and engineers to enter into an intensive, mutually beneficial dialogue.

Original languageEnglish
Pages (from-to)370-393
Number of pages24
JournalWater Research
Volume36
Issue number2
DOIs
Publication statusPublished - 2002
Externally publishedYes

ASJC Scopus Subject Areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Ecological Modelling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution

Keywords

  • FISH
  • Gene probes
  • Mathematical modeling
  • Nucleic acid fingerprinting
  • Numerical simulation
  • Wastewater treatment

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