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Can AI Help Improve Water Quality? Towards the Prediction of Degradation of Micropollutants in Wastewater.

Hiroko SatohJasmin HafnerJürg HutterKathrin Fenner
Published in: Chimia (2023)
Micropollutants have become a serious environmental problem by threatening ecosystems and the quality of drinking water. This account investigates if advanced AI can be used to find solutions for this problem. We review background, the challenges involved, and the current state-of-the-art of quantitative structure-biodegradation relationships (QSBR). We report on recent progress combining experiment, quantum chemistry (QC) and chemoinformatics, and provide a perspective on potential future uses of AI technology to help improve water quality.
Keyphrases
  • water quality
  • drinking water
  • artificial intelligence
  • wastewater treatment
  • health risk
  • health risk assessment
  • human health
  • climate change
  • deep learning
  • high resolution
  • current status
  • anaerobic digestion