A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios

Olivia Bailey, Ljiljana Zlatanovic, J. P. van der Hoek, Zoran Kapelan, Mirjam Blokker, Tom Arnot, Jan Hofman

Research output: Contribution to journalArticlepeer-review

13 Citations (SciVal)
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Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and water quality model developed to investigate this impact. SIMDEUM WW® was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks® ICM to quantify the impacts within the sewer network. The model was validated using measured field data from a sewer system in Amsterdam serving 418 households. Wastewater concentrations of TSS, COD, TKN, TPH were sampled on an hourly basis, for one week. The results obtained showed that the InfoWorks® model predicted the mass flow of pollutants well but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less good. Still, the model was deemed capable of analysing the effects of three water conservation strategies (greywater reuse, rainwater harvesting and water-saving appliances) on flow, nutrient concentrations, and temperature in sewer networks. Results show through a 62% reduction in sewer flow, COD, TKN and TPH concentrations increased by up to 111%, 84% and 75% respectively, offering more favourable conditions for nutrient recovery.
Original languageEnglish
Article number1187
Issue number4
Publication statusPublished - 21 Apr 2020


  • sewer design
  • Stochastic sewer modelling
  • Wastewater quality
  • Household discharge
  • Reduced water consumption

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology


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