Articles | Volume 23, issue 8
Hydrol. Earth Syst. Sci., 23, 3373–3385, 2019
Hydrol. Earth Syst. Sci., 23, 3373–3385, 2019

Research article 15 Aug 2019

Research article | 15 Aug 2019

Uncertainty quantification of floodplain friction in hydrodynamic models

Guilherme Luiz Dalledonne et al.

Related subject area

Subject: Engineering Hydrology | Techniques and Approaches: Uncertainty analysis
An uncertainty partition approach for inferring interactive hydrologic risks
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Technical note: Assessment of observation quality for data assimilation in flood models
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Sedimentation monitoring including uncertainty analysis in complex floodplains: a case study in the Mekong Delta
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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,, 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,, 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,, 2004. a
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.