This paper presents an analysis of uncertainty in hydraulic modelling of floods, focusing on the inaccuracy caused by inflow errors and parameter uncertainty. In particular, the study develops a method to propagate the uncertainty induced by, firstly, application of a stage–discharge rating curve and, secondly, parameterisation of a one-dimensional hydraulic model by way of the power function and the conditioning of Manning's roughness coefficients. The proposed methodology was applied to a 98 km reach of the River Po, Italy. Model performance was evaluated using two independent sets of observed water levels in the river reach within a generalised likelihood uncertainty estimation framework. The inflow uncertainty was found to have a greater contribution to the overall uncertainty of the 1D model than the roughness parameters. Independent parameter conditioning and validation, as well as the uncertainty analysis, showed satisfactory model performance. When conditioned on one flood event, the model adequately simulated flood levels and high water marks for another (independent) event, as the observations were within 90% confidence interval of the simulation ensemble.
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January 2014
Research Article|
January 01 2014
Flood modelling: parameterisation and inflow uncertainty
Micah M. Mukolwe, MSc;
Micah M. Mukolwe, MSc
PhD Participant
Unesco-IHE Institute for Water Education, Delft, the Netherlands
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Giuliano Di Baldassarre, PhD;
Giuliano Di Baldassarre, PhD
Senior Lecturer in Hydroinformatics Systems
Unesco-IHE Institute for Water Education, Delft, the Netherlands
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Micha Werner, PhD;
Micha Werner, PhD
Associate Professor of Hydraulic Engineering
Unesco-IHE Institute for Water Education, Delft, the Netherlands
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Dimitri P. Solomatine, PhD
Dimitri P. Solomatine, PhD
Professor of Hydroinformatics
Unesco-IHE Institute for Water Education, Delft, the Netherlands; Water Resources Section, Delft University of Technology, Delft, the Netherlands
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Publisher: Emerald Publishing
Revision Received:
July 17 2013
Accepted:
October 07 2013
Online ISSN: 1751-7729
Print ISSN: 1741-7589
ICE Publishing: All rights reserved
2014
Proceedings of the Institution of Civil Engineers - Water Management (2014) 167 (1): 51–60.
Article history
Revision Received:
July 17 2013
Accepted:
October 07 2013
Citation
Mukolwe MM, Baldassarre GD, Werner M, Solomatine DP (2014), "Flood modelling: parameterisation and inflow uncertainty". Proceedings of the Institution of Civil Engineers - Water Management, Vol. 167 No. 1 pp. 51–60, doi: https://doi.org/10.1680/wama.12.00087
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