Articles | Volume 370
https://doi.org/10.5194/piahs-370-235-2015
https://doi.org/10.5194/piahs-370-235-2015
11 Jun 2015
 | 11 Jun 2015

Crash tests for forward-looking flood control in the city of Zürich (Switzerland)

M. Zappa, N. Andres, P. Kienzler, D. Näf-Huber, C. Marti, and M. Oplatka

Related authors

Swiss glacier mass loss during the 2022 drought: persistent streamflow contributions amid declining melt water volumes
Marit van Tiel, Matthias Huss, Massimiliano Zappa, Tobias Jonas, and Daniel Farinotti
EGUsphere, https://doi.org/10.5194/egusphere-2025-404,https://doi.org/10.5194/egusphere-2025-404, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Extended-range forecasting of stream water temperature with deep-learning models
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025,https://doi.org/10.5194/hess-29-1685-2025, 2025
Short summary
Towards an Operational Groundwater Level Forecasting System in Switzerland
Raoul Alexandre Collenteur, Konrad Bogner, Christian Moeck, Massimiliano Zappa, and Mario Schirmer
Abstr. Int. Cartogr. Assoc., 9, 5, https://doi.org/10.5194/ica-abs-9-5-2025,https://doi.org/10.5194/ica-abs-9-5-2025, 2025
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025,https://doi.org/10.5194/hess-29-1061-2025, 2025
Short summary
Applying recession models for low-flow prediction: a comparison of regression and matching strip approaches
Michael Margreth, Florian Lustenberger, Dorothea Hug Peter, Fritz Schlunegger, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-78,https://doi.org/10.5194/nhess-2024-78, 2024
Preprint under review for NHESS
Short summary

Cited articles

Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327–2347, https://doi.org/10.5194/hess-15-2327-2011, 2011.
Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M.-H., and Valéry, A.: HESS Opinions "Crash tests for a standardized evaluation of hydrological models", Hydrol. Earth Syst. Sci., 13, 1757–1764, https://doi.org/10.5194/hess-13-1757-2009, 2009.
Buchecker, M., Salvini, G., Di Baldassarre, G., Semenzin, E., Maidl, E., and Marcomini, A.: The role of risk perception in making flood risk management more effective, Nat. Hazards Earth Syst. Sci., 13, 3013–3030, https://doi.org/10.5194/nhess-13-3013-2013, 2013.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Gupta, H. V., Perrin, C., Blöschl, G., Montanari, A., Kumar, R., Clark, M., and Andréassian, V.: Large-sample hydrology: a need to balance depth with breadth, Hydrol. Earth Syst. Sci., 18, 463–477, https://doi.org/10.5194/hess-18-463-2014, 2014.
Download
Short summary
The most severe threat for the city of Zürich (Switzerland) are flash-floods from the small Sihl river. An assessment using a rainfall-runoff model evaluated more than 40000 extreme flood scenarios. These scenarios identified deficits for the safety of Zürich. The combination of different structural and flood management measures can lead to an optimal safety also in case of unfavorable initial conditions. Pending questions concern the costs, political decisions and the environmental matters.
Share