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The waterhub modules: material and energy flow analysis of domestic hot water systems
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2019). The waterhub modules: material and energy flow analysis of domestic hot water systems. In A. Haumer (Ed.), Linköping Electronic Conference Proceedings. Proceedings of the 13th international modelica conference (pp. 639-646). https://doi.org/10.3384/ecp19157639
Passive samplers to quantify micropollutants in sewer overflows: accumulation behaviour and field validation for short pollution events
Mutzner, L., Vermeirssen, E. L. M., Mangold, S., Maurer, M., Scheidegger, A., Singer, H., … Ort, C. (2019). Passive samplers to quantify micropollutants in sewer overflows: accumulation behaviour and field validation for short pollution events. Water Research, 160, 350-360. https://doi.org/10.1016/j.watres.2019.04.012
Quantifying physical disintegration of faeces in sewers: stochastic model and flow reactor experiments
Penn, R., Maurer, M., Michalec, F. G., Scheidegger, A., Zhou, J., & Holzner, M. (2019). Quantifying physical disintegration of faeces in sewers: stochastic model and flow reactor experiments. Water Research, 152, 159-170. https://doi.org/10.1016/j.watres.2018.12.037
Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras
Peña-Haro, S., Lüthi, B., Carrel, M., Scheidegger, A., de Vitry, M. M., & Leitão, J. P. (2019). Es überschwemmt und keiner sieht zu?! Oberflächenabflussmessungen im urbanen Raum mittels Videomaterial von Überwachungskameras. Aqua & Gas, 99(5), 44-50.
Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology
Wani, O., Scheidegger, A., Cecinati, F., Espadas, G., & Rieckermann, J. (2019). Exploring a copula-based alternative to additive error models—for non-negative and autocorrelated time series in hydrology. Journal of Hydrology, 575, 1031-1040. https://doi.org/10.1016/j.jhydrol.2019.06.006
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
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). https://doi.org/10.3929/ethz-b-000315756
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). Prague: 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
Schmetterlinge
Altermatt, F., & Scheidegger, A. (2016). Schmetterlinge. Neujahrsblatt der Naturforschenden Gesellschaft in Zürich NGZH, 218, 105-116. https://doi.org/10.5167/uzh-123628
Spatial modelling of rain-induced infiltration into sewers
Barrett, R. (2016). Spatial modelling of rain-induced infiltration into sewers (Master thesis). 37 p.
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
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
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
Schätzung der Kanalalterung. Modellbasierte Schätzung des Alterungsverhaltens von Kanalnetzen ohne Datenhistorie
Egger, C., Scheidegger, A., Maurer, M., & Reichert, P. (2015). Schätzung der Kanalalterung. Modellbasierte Schätzung des Alterungsverhaltens von Kanalnetzen ohne Datenhistorie. Aqua & Gas, 95(11), 48-54.
A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates
Helbling, D. E., Johnson, D. R., Lee, T. K., Scheidegger, A., & Fenner, K. (2015). A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates. Water Research, 70, 471-484. https://doi.org/10.1016/j.watres.2014.12.013
Statistical failure models for water distribution pipes – a review from a unified perspective
Scheidegger, A., Leitão, J. P., & Scholten, L. (2015). Statistical failure models for water distribution pipes – a review from a unified perspective. Water Research, 83, 237-247. https://doi.org/10.1016/j.watres.2015.06.027
pH-dependent biotransformation of ionizable organic micropollutants in activated sludge
Gulde, R., Helbling, D. E., Scheidegger, A., & Fenner, K. (2014). pH-dependent biotransformation of ionizable organic micropollutants in activated sludge. Environmental Science and Technology, 48(23), 13760-13768. https://doi.org/10.1021/es5037139
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