The effect of hydraulic roughness on design water levels in river models [chapter]

J Warmink, M Straatsma, F Huthoff
2012 Comprehensive Flood Risk Management  
Accurate estimates of design water levels are essential, because they determine the required dimensions of the flood defences. Hydrodynamic models are used for the prediction of flood water levels to support flood safety and are often applied in a deterministic way. However, the modelling of river processes involves numerous uncertainties. Literature has shown that the hydraulic roughness is one of the main sources of uncertainty in hydrodynamic computations. Knowledge of the type and magnitude
more » ... type and magnitude of uncertainties is crucial for a meaningful interpretation of the model outcomes and their usefulness in decision making. We show that the uncertainty of a complex model factor, such as the hydraulic roughness, can be quantified explicitly. The hydraulic roughness has been unravelled in separate components, which have been quantified separately and then combined and propagated through the model. Expert opinions revealed that the uncertainty due to bed form roughness in the main channel and vegetation roughness in the floodplains were shown to be the major contributors. Quantifica-tion of these sources and propagation through the WAQUA model using Monte Carlo analyses showed that this resulted in a 95% confidence interval around the Design Water Levels (DWL) of 68 cm for the river Waal. This uncertainty range consisted of the uncertainty due to bed forms with an uncertainty of 49 cm on the DWL, and an uncertainty of 34 cm due to vegetation roughness uncertainty. The main source of uncertainty was shown to be the variability of the roughness values depending on the various possible roughness models. we want to estimate the uncertainties in these parts of the model that have the largest contribution to the uncertainty in the DWL. In this paper we did not focus on the uncertainty of the design discharge being often the largest source of uncertainty (Pappenberger et al., 2006) , because the choice of a return period of 1250 years is effectively a way of being precautionary relative to the uncertainty inherent in the extrapolation of the discharge frequency to low exceedance probabilities, whereas uncertainty in the roughness has a real effect in converting that discharge into water levels (Warmink et al. acc). The uncertainty in the design discharge and its effect on the DWL have been studied extensively e.g. by (Silva et al., 2001; Van der Klis 2003; Van Gelder 2008) .
doi:10.1201/b13715-22 fatcat:zpsleoh5mvecdfalrvfeqg5fem