@article{KleckersAbadiBrandhermetal.2024,
  author    = {Kleckers, Jonas and Abadi, Abbas and Brandherm, Katrin Marie and Haberkamp, Jens},
  title     = {Wastewater generation model to predict impacts of urine separation on wastewater treatment plants},
  series = {Water Science \& Technology 89 (5)},
  journal   = {Water Science \& Technology 89 (5)},
  issn      = {0273-1223},
  doi       = {10.25974/fhms-17950},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-179502},
  pages     = {1312 -- 1324},
  year      = {2024},
  abstract  = {Wastewater treatment plants (WWTPs) are under increasing pressure to enhance resource efficiency and reduce emissions into water bodies. The separation of urine within the catchment area may be an alternative to mitigate the need for costly expansions of central WWTPs. While previous investigations assumed a spatially uniform implementation of urine separation across the catchment area, the present study focuses on an adapted stochastic wastewater generation model, which allows the simulation of various wastewater streams (e.g., urine) on a household level. This enables the non-uniform separation of urine across a catchment area. The model is part of a holistic modelling framework to determine the influence of targeted urine separation in catchments on the operation and emissions of central WWTPs, which will be briefly introduced. The wastewater generation model is validated through an extensive sampling and measurement series. Results based on observed and simulated wastewater quantity and quality for a catchment area of 366 residents for two dry weather days indicate the suitability of the model for wastewater generation and transport modelling. Based on this, four scenarios for urine separation were defined. The results indicate a potential influence of spatial distribution on the peaks of total nitrogen and total phosphorus.},
  language  = {en}
}
@inproceedings{KleckersAbadiBrandhermetal.2023,
  author    = {Kleckers, Jonas and Abadi, Abbas and Brandherm, Katrin and Haberkamp, Jens},
  title     = {Wastewater Generation Model to Predict Impacts of Urine Separation on Wastewater Treatment Plants},
  series = {11th IWA Symposium on Modelling and Integrated Assessment (Watermatex), Quebec (Canada)},
  booktitle = {11th IWA Symposium on Modelling and Integrated Assessment (Watermatex), Quebec (Canada)},
  year      = {2023},
  abstract  = {Wastewater treatment plants are under increasing pressure to enhance resource efficiency and reduce emissions into water bodies. Separation of urine within the catchment area may be an alternative to mitigate the need for costly expansions of central wastewater treatment plant. While previous investigations assumed a spatially uniform implementation of urine separation across the catchment area, the present study introduces a modelling framework which allows to determine the influence of targeted urine separation on the operation and emissions of central wastewater treatment plants. The framework includes an adapted stochastic wastewater generation model, the Stormwater Management Model, and Activated Sludge Model No. 3 with Bio-P module (SIMBA\#). The entire application is embedded in the R programming language. The model is validated by an extensive sampling and measurement campaign. Preliminary results based on observed and simulated wastewater generation and transport for a catchment area of 436 residents indicate the suitability of the model for wastewater generation and transport modelling, but also show further need for calibration.},
  language  = {en}
}