Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3373-2019
https://doi.org/10.5194/hess-23-3373-2019
Research article
 | 
15 Aug 2019
Research article |  | 15 Aug 2019

Uncertainty quantification of floodplain friction in hydrodynamic models

Guilherme Luiz Dalledonne, Rebekka Kopmann, and Thomas Brudy-Zippelius

Related subject area

Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
Intercomparison of global reanalysis precipitation for flood risk modelling
Fergus McClean, Richard Dawson, and Chris Kilsby
Hydrol. Earth Syst. Sci., 27, 331–347, https://doi.org/10.5194/hess-27-331-2023,https://doi.org/10.5194/hess-27-331-2023, 2023
Short summary
Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too
David McInerney, Mark Thyer, Dmitri Kavetski, Richard Laugesen, Fitsum Woldemeskel, Narendra Tuteja, and George Kuczera
Hydrol. Earth Syst. Sci., 26, 5669–5683, https://doi.org/10.5194/hess-26-5669-2022,https://doi.org/10.5194/hess-26-5669-2022, 2022
Short summary
Bayesian calibration of a flood simulator using binary flood extent observations
Mariano Balbi and David Charles Bonaventure Lallemant
EGUsphere, https://doi.org/10.5194/egusphere-2022-760,https://doi.org/10.5194/egusphere-2022-760, 2022
Short summary
An uncertainty partition approach for inferring interactive hydrologic risks
Yurui Fan, Kai Huang, Guohe Huang, Yongping Li, and Feng Wang
Hydrol. Earth Syst. Sci., 24, 4601–4624, https://doi.org/10.5194/hess-24-4601-2020,https://doi.org/10.5194/hess-24-4601-2020, 2020
Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models
Adam Kiczko, Kaisa Västilä, Adam Kozioł, Janusz Kubrak, Elżbieta Kubrak, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 24, 4135–4167, https://doi.org/10.5194/hess-24-4135-2020,https://doi.org/10.5194/hess-24-4135-2020, 2020
Short summary

Cited articles

Aberle, J. and Järvelä, J.: Flow resistance of emergent rigid and flexible floodplain vegetation, J. Hydraul. Res., 51, 33–45, 2013. a, b
Aberle, J. and Järvelä, J.: Hydrodynamics of Vegetated Channels, Springer International Publishing, 519–541, 2015. a
Altarejos-García, L., Martínez-Chenoll, M. L., Escuder-Bueno, I., and Serrano-Lombillo, A.: Assessing the impact of uncertainty on flood risk estimates with reliability analysis using 1-D and 2-D hydraulic models, Hydrol. Earth Syst. Sci., 16, 1895–1914, https://doi.org/10.5194/hess-16-1895-2012, 2012. a
Antonarakis, A. S., Richards, K. S., Brasington, J., Bithell, M., and Muller, E.: Retrieval of vegetative fluid resistance terms for rigid stems using airborne lidar, J. Geophys. Res., 113, G02S07, https://doi.org/10.1029/2007JG000543, 2008. a
Apel, H., Thieken, A. H., Merz, B., and Blöschl, G.: Flood risk assessment and associated uncertainty, Nat. Hazards Earth Syst. Sci., 4, 295–308, https://doi.org/10.5194/nhess-4-295-2004, 2004. a
Download
Short summary
This study presents how the concept of uncertainty quantification can be applied to river engineering problems and how important it is to understand the limitations of numerical models from a probabilistic point of view. We investigated floodplain friction formulations using different uncertainty quantification methods and estimated their contribution in the final results. The analysis of uncertainties is planned to be integrated in future projects and also extended to more complex scenarios.