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Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Nagel, J. B., Rieckermann, J., & Sudret, B. (2020). Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation. Reliability Engineering and System Safety, 195, 106737 (16 pp.). https://doi.org/10.1016/j.ress.2019.106737
Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments
Naves, J., Rieckermann, J., Cea, L., Puertas, J., & Anta, J. (2020). Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments. Science of the Total Environment, 709, 136152 (15 pp.). https://doi.org/10.1016/j.scitotenv.2019.136152
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
Vorhersage der Mecoprop-Dynamik im urbanen Regenwasserabfluss mit einem gekoppelten prozess-basierten Schmutzfrachtmodel
Devasia-Metzger, J. R., Rieckermann, J., Ort, C., & Burkhardt, M. (2019). Vorhersage der Mecoprop-Dynamik im urbanen Regenwasserabfluss mit einem gekoppelten prozess-basierten Schmutzfrachtmodel. In M. Burkhardt & C. Graf (Eds.), Regenwasser weiterdenken - Bemessen trifft Gestalten. Tagungsband - Aqua Urbanica 2019 (pp. 46-53). Rapperswil: HSR Hochschule für Technik Rapperswil.
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). Zurich: ETH Zurich.
Datenbasierte Planungs-, Betriebs- und Vollzugskonzepte zur nachhaltigen Regenwasserbehandlung
Hopper, H., Dittmer, U., Gruber, G., & Rieckermann, J. (2019). Datenbasierte Planungs-, Betriebs- und Vollzugskonzepte zur nachhaltigen Regenwasserbehandlung. In J. Pinnekamp (Ed.), Gewässerschutz - Wasser - Abwasser: Vol. 250. 52. Essener Tagung für Wasserwirtschaft “Wasser und Gesundheit“ 20. bis 22. März 2019 im Eurogress Aachen (p. 26 (16 pp.). Aachen: Gesellschaft zur Förderung des Instituts für Siedlungswasserwirtschaft an der RWTH Aachen.
Saubere Gewässer dank Messdatenmanagement. Instrumente für einen guten Umgang mit Messdaten in der Schweizer Siedlungsentwässerung
Manny, L., Fischer, M., Staufer, P., & Rieckermann, J. (2019). Saubere Gewässer dank Messdatenmanagement. Instrumente für einen guten Umgang mit Messdaten in der Schweizer Siedlungsentwässerung. Aqua & Gas, 99(1), 58-65.
Commercial microwave links for urban drainage modelling: the effect of link characteristics and their position on runoff simulations
Pastorek, J., Fencl, M., Rieckermann, J., & Bareš, V. (2019). Commercial microwave links for urban drainage modelling: the effect of link characteristics and their position on runoff simulations. Journal of Environmental Management, 251, 109522 (11 pp.). https://doi.org/10.1016/j.jenvman.2019.109522
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
Praxistaugliche Regelung von Entwässerungsnetzen - das Projekt INKA
Gresch, M., Manz, C., Hesse, K., & Rieckermann, J. (2018). Praxistaugliche Regelung von Entwässerungsnetzen - das Projekt INKA (pp. 1-12). Presented at the 3. Expertenforum Regenüberlaufbecken. Stuttgart: DWA-Landesverband Baden-Württemberg.
Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage
Leitão, J. P., Carbajal, J. P., Rieckermann, J., Simões, N. E., Sá Marques, A., & de Sousa, L. M. (2018). Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage. Journal of Hydrology, 556, 371-383. https://doi.org/10.1016/j.jhydrol.2017.11.020
Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator
Machac, D., Reichert, P., Rieckermann, J., Del Giudice, D., & Albert, C. (2018). Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environmental Modelling and Software, 109, 66-79. https://doi.org/10.1016/j.envsoft.2018.07.016
Policy analysis for better protection of receiving waters during wet weather
Manny, L., Fischer, M., & Rieckermann, J. (2018). Policy analysis for better protection of receiving waters during wet weather. Presented at the 11th international conference on urban drainage modelling (UDM 2018). Palermo, Italy.
Policy-Analyse für einen besseren Gewässerschutz bei Regenwetter
Manny, L., Fischer, M., & Rieckermann, J. (2018). Policy-Analyse für einen besseren Gewässerschutz bei Regenwetter. In T. G. Schmitt (Ed.), Schriftenreihe Wasser Infrastruktur Ressourcen: Vol. 1. Regenwasser in urbanen Räumen. aqua urbanica trifft RegenwasserTage 2018. Tagungsband (pp. 139-151). Kaiserslautern: Institut Wasser Infrastruktur Ressourcen.
Sewer inlet localization in UAV image clouds: improving performance with multiview detection
Moy de Vitry, M., Schindler, K., Rieckermann, J., & Leitão, J. P. (2018). Sewer inlet localization in UAV image clouds: improving performance with multiview detection. Remote Sensing, 10(5), 706 (18 pp.). https://doi.org/10.3390/rs10050706
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
Crowdsourcing methods for data collection in geophysics: state of the art, issues, and future directions
Zheng, F., Tao, R., Maier, H. R., See, L., Savic, D., Zhang, T., … Popescu, I. (2018). Crowdsourcing methods for data collection in geophysics: state of the art, issues, and future directions. Reviews of Geophysics, 56(4), 698-740. https://doi.org/10.1029/2018RG000616
Langzeitüberwachung der Raum-Zeit-Dynamik in Entwässerungssystemen mittels Niedrigenergiefunk
Blumensaat, F., Ebi, C., Dicht, S., Rieckermann, J., & Maurer, M. (2017). Langzeitüberwachung der Raum-Zeit-Dynamik in Entwässerungssystemen mittels Niedrigenergiefunk. KA: Korrespondenz Abwasser Abfall, 64(7), 594-603. https://doi.org/10.3242/kae2017.07.001
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
Gauge-adjusted rainfall estimates from commercial microwave links
Fencl, M., Dohnal, M., Rieckermann, J., & Bareš, V. (2017). Gauge-adjusted rainfall estimates from commercial microwave links. Hydrology and Earth System Sciences, 21(1), 617-634. https://doi.org/10.5194/hess-21-617-2017
 

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