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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
Robust elicitation of imprecise expert knowledge for water infrastructure management
Arreaza Bauer, A. S. (2011). Robust elicitation of imprecise expert knowledge for water infrastructure management [Master thesis].
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.
How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan
Blumensaat, F., Leitão, J. P., Ort, C., Rieckermann, J., Scheidegger, A., Vanrolleghem, P. A., & Villez, K. (2019). How urban storm- and wastewater management prepares for emerging opportunities and threats: digital transformation, ubiquitous sensing, new data sources, and beyond – a horizon scan. Environmental Science and Technology, 53(15), 8488-8498. https://doi.org/10.1021/acs.est.8b06481
Charting a path for innovative toilet technology using multicriteria decision analysis
Borsuk, M. E., Maurer, M., Lienert, J., & Larsen, T. A. (2008). Charting a path for innovative toilet technology using multicriteria decision analysis. Environmental Science and Technology, 42(6), 1855-1862. https://doi.org/10.1021/es702184p
Appraisal of data-driven and mechanistic emulators of nonlinear simulators: the case of hydrodynamic urban drainage models
Carbajal, J. P., Leitão, J. P., Albert, C., & Rieckermann, J. (2017). Appraisal of data-driven and mechanistic emulators of nonlinear simulators: the case of hydrodynamic urban drainage models. Environmental Modelling and Software, 92, 17-27. https://doi.org/10.1016/j.envsoft.2017.02.006
Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling
Cheng, T., Xu, Z., Yang, H., Hong, S., & Leitao, J. P. (2020). Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling. Journal of Hydrologic Engineering, 25(1), 04019061 (14 pp.). https://doi.org/10.1061/(ASCE)HE.1943-5584.0001867
Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions
Del Giudice, D., Reichert, P., Bareš, V., Albert, C., & Rieckermann, J. (2015). Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions. Environmental Modelling and Software, 64, 205-214. https://doi.org/10.1016/j.envsoft.2014.11.006
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.
Improving output and input statistical error descriptions in urban hydrological modeling
Del Giudice, D. (2015). Improving output and input statistical error descriptions in urban hydrological modeling [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-a-010536371
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
Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation
Del Giudice, D., Albert, C., Rieckermann, J., & Reichert, P. (2016). Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation. Water Resources Research, 52(4), 3162-3186. https://doi.org/10.1002/2015WR017871
Impact of different sources of precipitation data on urban rainfall-runoff predictions: a comparison of rain gauges, commercial microwave links and radar
Disch, A., Scheidegger, A., Wani, O., & Rieckermann, J. (2019). Impact of different sources of precipitation data on urban rainfall-runoff predictions: a comparison of rain gauges, commercial microwave links and radar. In N. Peleg & P. Molnar (Eds.), Rainfall monitoring, modelling and forecasting in urban environments. Conference Proceedings UrbanRain18 (pp. 27-32). ETH Zurich.
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.
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
Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high
Fernandez-Cassi, X., Scheidegger, A., Bänziger, C., Cariti, F., Tuñas Corzon, A., Ganesanandamoorthy, P., … Kohn, T. (2021). Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high. Water Research, 200, 117252 (9 pp.). https://doi.org/10.1016/j.watres.2021.117252
Using satellite imagery to investigate Blue-Green Infrastructure establishment time for urban cooling
Gobatti, L., Bach, P. M., Scheidegger, A., & Leitão, J. P. (2023). Using satellite imagery to investigate Blue-Green Infrastructure establishment time for urban cooling. Sustainable Cities and Society, 97, 104768 (11 pp.). https://doi.org/10.1016/j.scs.2023.104768
Advancing decision analysis methods for environmental management. Including stakeholder values in wastewater infrastructure planning and river assessment
Haag, F. (2019). Advancing decision analysis methods for environmental management. Including stakeholder values in wastewater infrastructure planning and river assessment [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000378014
Integrating uncertainty of preferences and predictions in decision models: an application to regional wastewater planning
Haag, F., Reichert, P., Maurer, M., & Lienert, J. (2019). Integrating uncertainty of preferences and predictions in decision models: an application to regional wastewater planning. Journal of Environmental Management, 252, 109652 (16 pp.). https://doi.org/10.1016/j.jenvman.2019.109652
Modeling the water-energy nexus in households
Hadengue, B., Scheidegger, A., Morgenroth, E., & Larsen, T. A. (2020). Modeling the water-energy nexus in households. Energy and Buildings, 225, 110262 (10 pp.). https://doi.org/10.1016/j.enbuild.2020.110262