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  • (-) Eawag Departments = Urban Water Management SWW
  • (-) Publication Year = 2006 - 2018
  • (-) Publication Type ≠ Master Thesis
  • (-) Eawag Authors ≠ Pronk, Wouter
  • (-) Keywords ≠ cocaine
  • (-) Eawag Authors = Scheidegger, Andreas
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Optimize sampling for micropollutants in urban drainage systems with pump stations - a conceptual hydraulic model
Ort, C., & Scheidegger, A. (2012). Optimize sampling for micropollutants in urban drainage systems with pump stations - a conceptual hydraulic model. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (8 pp.). Faculty of Civil Engineering, University of Belgrade.
Digitalization meets reality - concept and experiences from long-term wireless data collection with 50+ sewer monitors
Blumensaat, F., Scheidegger, A., Ebi, C., Dicht, S., Schaltegger, F., Rüst, A., … Maurer, M. (2018). Digitalization meets reality - concept and experiences from long-term wireless data collection with 50+ sewer monitors. In G. Mannina (Ed.), Proceedings of 11th international conference on urban drainage modelling (pp. 360-363). IWA.
Robust extraction of rain-induced attenuation from microwave link observations using local regression
Schatzmann, A., Scheidegger, A., Rieckermann, J., & Ruckstuhl, A. (2012). Robust extraction of rain-induced attenuation from microwave link observations using local regression. In P. Molnar, P. Burlando, & T. Einfalt (Eds.), Urban challenges in rainfall analysis (pp. 218-222). ETH Zurich.
Statistical performance evaluation in urban drainage – an example of groundwater infiltration
Staufer, P., Scheidegger, A., & Rieckermann, J. (2012). Statistical performance evaluation in urban drainage – an example of groundwater infiltration. In D. Prodanović & J. Plavšić (Eds.), Urban drainage modelling. Proceedings of the ninth international conference on urban drainage modelling (p. (11 pp.). Faculty of Civil Engineering, University of Belgrade.
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,
Statistical methods for better hydrologic predictions. Improving parameter and uncertainty estimation
Wani, O. (2018). Statistical methods for better hydrologic predictions. Improving parameter and uncertainty estimation [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000315756
Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry
Leitão, J. P., Peña-Haro, S., Lüthi, B., Scheidegger, A., & Moy de Vitry, M. (2018). Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry. Journal of Hydrology, 565, 791-804. https://doi.org/10.1016/j.jhydrol.2018.09.001
Generation of sanitation system options for urban planning considering novel technologies
Spuhler, D., Scheidegger, A., & Maurer, M. (2018). Generation of sanitation system options for urban planning considering novel technologies. Water Research, 145, 259-278. https://doi.org/10.1016/j.watres.2018.08.021
Passive sampling: an efficient way to monitor micropollutants in sewer overflows?
Mutzner, L., Mangold, S., Maurer, M., Scheidegger, A., Singer, H., Vermeirssen, E., & Ort, C. (2017). Passive sampling: an efficient way to monitor micropollutants in sewer overflows? (pp. 10-17). Presented at the 14th IWA/IAHR international conference on urban drainage (ICUD). CZWA; Czech Technical University; IAHR/AIRH; IWA.
Parameter estimation of hydrologic models using a likelihood function for censored and binary observations
Wani, O., Scheidegger, A., Carbajal, J. P., Rieckermann, J., & Blumensaat, F. (2017). Parameter estimation of hydrologic models using a likelihood function for censored and binary observations. Water Research, 121, 290-301. https://doi.org/10.1016/j.watres.2017.05.038
Influence of different sewer biofilms on transformation rates of drugs
McCall, A. K., Scheidegger, A., Madry, M. M., Steuer, A. E., Weissbrodt, D. G., Vanrolleghem, P. A., … Ort, C. (2016). Influence of different sewer biofilms on transformation rates of drugs. Environmental Science and Technology, 50(24), 13351-13360. https://doi.org/10.1021/acs.est.6b04200
Schmetterlinge
Altermatt, F., & Scheidegger, A. (2016). Schmetterlinge. Neujahrsblatt der Naturforschenden Gesellschaft in Zürich NGZH, 218, 105-116. https://doi.org/10.5167/uzh-123628
A simulated annealing approach to approximate Bayes computations
Albert, C., Künsch, H. R., & Scheidegger, A. (2015). A simulated annealing approach to approximate Bayes computations. Statistics and Computing, 25(6), 1217-1232. https://doi.org/10.1007/s11222-014-9507-8
Identifying biases in deterioration models using synthetic sewer data
Scheidegger, A., & Maurer, M. (2011). Identifying biases in deterioration models using synthetic sewer data (p. (9 pp.). Presented at the Leading edge conference on strategic asset management (LESAM 2011). .
Berücksichtigung von systematischen Modellabweichungen in der Kanalnetzsimulation
Del Giudice, D., Honti, M., Scheidegger, A., Albert, C., Reichert, P., & Rieckermann, J. (2013). Berücksichtigung von systematischen Modellabweichungen in der Kanalnetzsimulation. In Gewässerschutz bei Regenwetter – Gemeinschaftsaufgabe für Stadtplaner, Ingenieure und Ökologen (pp. 166-170). Eawag.
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
Leitão, J. P., Moy de Vitry, M., Scheidegger, A., & Rieckermann, J. (2016). Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas. Hydrology and Earth System Sciences, 20(4), 1637-1653. https://doi.org/10.5194/hess-20-1637-2016
The importance of hydrological uncertainty assessment methods in climate change impact studies
Honti, M., Scheidegger, A., & Stamm, C. (2014). The importance of hydrological uncertainty assessment methods in climate change impact studies. Hydrology and Earth System Sciences, 18(8), 3301-3317. https://doi.org/10.5194/hess-18-3301-2014
Considering rating curve uncertainty in water level predictions
Sikorska, A. E., Scheidegger, A., Banasik, K., & Rieckermann, J. (2013). Considering rating curve uncertainty in water level predictions. Hydrology and Earth System Sciences, 17(11), 4415-4427. https://doi.org/10.5194/hess-17-4415-2013
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Del Giudice, D., Honti, M., Scheidegger, A., Albert, C., Reichert, P., & Rieckermann, J. (2013). Improving uncertainty estimation in urban hydrological modeling by statistically describing bias. Hydrology and Earth System Sciences, 17(10), 4209-4225. https://doi.org/10.5194/hess-17-4209-2013
Prognosen zum Sanierungsbedarf. Schweizer Kanalisation – der Wert guter Daten für Einsichten in die Zukunft
Scheidegger, A., Beutler, P., & Maurer, M. (2013). Prognosen zum Sanierungsbedarf. Schweizer Kanalisation – der Wert guter Daten für Einsichten in die Zukunft. Aqua & Gas, 93(1), 16-20.