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  • (-) Eawag Departments = Urban Water Management SWW
  • (-) Publication Year = 2006 - 2018
  • (-) Publication Type ≠ Master Thesis
  • (-) Eawag Authors ≠ Larsen, Tove A.
  • (-) Keywords = Bayesian inference
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Tracing of micropollutants sources in urban receiving waters based on sediment fingerprinting
Sikorska, A. E., Scheidegger, A., Chiaia-Hernandez, A. C., Hollender, J., & Rieckermann, J. (2012). Tracing of micropollutants sources in urban receiving waters based on sediment fingerprinting. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (14 pp.). Faculty of Civil Engineering, University of Belgrade,
The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration
Sikorska, A. E., Del Giudice, D., Banasik, K., & Rieckermann, J. (2015). The value of streamflow data in improving TSS predictions - Bayesian multi-objective calibration. Journal of Hydrology, 530, 241-254. https://doi.org/10.1016/j.jhydrol.2015.09.051
Sewer deterioration modeling with condition data lacking historical records
Egger, C., Scheidegger, A., Reichert, P., & Maurer, M. (2013). Sewer deterioration modeling with condition data lacking historical records. Water Research, 47(17), 6762-6779. https://doi.org/10.1016/j.watres.2013.09.010
Combining expert knowledge and local data for improved service life modeling of water supply networks
Scholten, L., Scheidegger, A., Reichert, P., & Maurer, M. (2013). Combining expert knowledge and local data for improved service life modeling of water supply networks. Environmental Modelling and Software, 42, 1-16. https://doi.org/10.1016/j.envsoft.2012.11.013