Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 8
Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4135-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4135-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 8
Research article
 | 
25 Aug 2020
Research article |  | 25 Aug 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

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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
Abril, J. B. and Knight, D. W.: Stage-discharge prediction for rivers in flood applying a depth-averaged model, J. Hydraul. Res., 42, 616–629, 2004. a
Abu-Aly, T. R., Pasternack, G. B., Wyrick, J. R., Barker, R., Massa, D., and Johnson, T.: Effects of LiDAR-derived, spatially distributed vegetation roughness on two-dimensional hydraulics in a gravel-cobble river at flows of 0.2 to 20 times bankfull, Geomorphology, 206, 468–482, https://doi.org/10.1016/j.geomorph.2013.10.017, 2014. a
Antonarakis, A. S., Richards, K. S., Brasington, J., and Bithell, M.: Leafless roughness of complex tree morphology using terrestrial lidar, Water Resour. Res., 45, W10401, https://doi.org/10.1029/2008WR007666, 2009. a
Arcement, G. J. and Schneider, V. R.: Guide for selecting Manning's roughness coefficients for natural channels and flood plains, vol. 2339, United States Geological Survey Water-Supply Paper 2339, https://doi.org/10.3133/wsp2339, 1989. a
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The study compares the uncertainty of discharge curves for vegetated channels, calculated using several methods, including the simplest ones, based on the Manning formula and advanced approaches, providing a detailed physical representation of the channel flow processes. Parameters of each method were identified for the same data sets. The outcomes of the study include the widths of confidence intervals, showing which method was the most successful in explaining observations.
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