Effect of surge uncertainty on probabilistically computed dune erosion

• Published in: Coastal engineering (Amsterdam) Vol. 58; no. 11; pp. 1023 - 1033
• Main Authors: Roscoe, K.L., Diermanse, F.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 01.11.2011; Elsevier
• Subjects: Dune erosion; Earth sciences; Earth, ocean, space; Erosion; Estimates; Exact sciences and technology; FORM; Geomorphology, landform evolution; Marine and continental quaternary; Mathematical analysis; Mathematical models; Monte Carlo importance sampling; Probabilistic methods; Probability theory; Storm surge; Surficial geology; Surges; Uncertainty; Netherlands; Europe; Atlantic Ocean; Northeast Atlantic; North Atlantic; North Sea; Western Europe; Monte Carlo importance sampling; Uncertainty; Probabilistic methods; Storm surge; FORM; Dune erosion; floods; models; Monte Carlo analysis; probability; sampling; reliability; protection; littoral erosion; coastal environment; frequency; dunes; erosion; prediction; uncertainties; landform evolution; storms
• ISSN: 0378-3839; 1872-7379
• DOI: 10.1016/j.coastaleng.2011.05.014

To assess the flood protection capacity of dunes in The Netherlands, a semi-probabilistic dune-erosion prediction method is currently in use in which uncertainties in input parameters of an empirical dune erosion model were taken into account, with the exception of the uncertainty in the extreme surge distribution. Previous research has shown that the surge is by far the most influential parameter affecting erosion in the currently used erosion model, which is due both to the influence of the surge level itself and to the conditional dependence of the wave height and period on the surge level in the probabilistic model used for the assessment. Furthermore, the distribution of extreme surge levels has been shown to contain large statistical uncertainty. The inclusion of uncertainty in input variables into probabilistic models results in more extreme events (in this case erosion) for the same exceedance probability, largely due to the incorporation of higher values of the input variables. The goal of the research described in this paper was to determine the impact of the inclusion of uncertainty in the extreme surge distribution on the estimate of critical erosion (erosion associated with an exceedance frequency of 10 − 5 per year). The uncertainty in the surge distributions was estimated and parameterized, and was incorporated into the probabilistic model. A reduction in uncertainty was subsequently imposed to estimate what value a reduction in uncertainty can offer, in terms of the impact on critical erosion. The probabilistic technique first-order reliability method (FORM) was applied to determine the relative contribution of the uncertainty in the surge distribution (as well as the remaining stochastic variables) to the critical erosion. The impact of the inclusion of uncertainty in the surge distribution on the critical retreat distance was found to be substantial with increases ranging from 34% to 93% of the original estimate at five locations along the Dutch coast. The reduced uncertainty showed a more subtle impact, with increases in critical retreat distance ranging from 10% to 26% of the original estimate. The relative importance analysis showed that the uncertainty in the surge distribution has a strong influence, with the relative importance ranging from 10% to 23% for an exceedance frequency of 10 − 5 per year.