FULLY PROBABILISTIC DUNE SAFETY ASSESSMENT USING AN ADVANCED PROBABILISTIC METHOD

Joost P. den Bieman, Dana E. Stuparu, Bas M. Hoonhout, Ferdinand L.M. Diermanse, Marien Boers, Pieter F.C. van Geer

Abstract


In this paper, an advanced probabilistic method - Adaptive Directional Importance Sampling (ADIS) - is used in concert with a process-based dune erosion model - XBeach - to perform a dune safety assessment. The efficiency of the probabilistic method removes the restriction of only using simple empirical dune erosion models for probabilistic calculations. The proposed combination of ADIS and XBeach is able to handle complex cross-shore profiles that empirical dune erosion models cannot, as shown in several case studies.

Keywords


probabilistics; dune erosion; XBeach

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References


Bjerager, P. (1988). On computation methods for structural reliability analysis. In Frangopol, D., editor, New directions, in structural system reliability, pages 52–67. University of Colorado Press, Boulder, Colorado.

Deltares (2014). XBeach skillbed report. Technical report, Deltares.

den Heijer, C., Baart, F., and van Koningsveld, M. (2012). Assessment of dune failure along the Dutch coast using a fully probabilistic approach. Geomorphology, 143 -144:95–103.

Ditlevsen, O., Melchers, R., and Gluver, H. (1990). General multi-dimensional probability integration by directional simulation. Computers & Structures, 36(2):355–368.

ENW (2007). Technical report on dune erosion (in Dutch). Technical report, expertisenetwerk waterveiligheid. Grooteman, F. (2011). An adaptive directional importance sampling method for structural reliability. Probabilistic Engineering Mechanics, 26(2):134 –141.

Hasselmann, K., Barnett, T., Bouws, E., Carlson, H., Cartwright, D., Enke, K., Ewing, J., Gienapp, H., Hasselmann, D., Kruseman, P., Meerburg, A., Müller, P., Olbers, D., Richter, K., Sell, W., and Walden, H. (1973). Measurements of wind-wave growth and swell decay during the joint north sea wave project (jonswap). Deutschen Hydrographischen Zeitschrift, 12:7–95.

OpenEarth (2014). Open source initiative: www.openearth.eu.

Rijkswaterstaat (2014). Jarkus cross-shore profile measurements database.

Roelvink, J. A., Reniers, A. J. H. M., van Dongeren, A. R., van Thiel de Vries, J. S. M., McCall, R. T., and Lescinski, J. (2009). Modelling storm impacts on beaches, dunes and barrier islands. Coastal Engineering, 56(11-12):1133–1152.

Roscoe, K. and Diermanse, F. (2011). Eect of surge uncertainty on probabilistically computed dune erosion. Coastal Engineering, 58(11):1023 –1033.

van Gent, M., van Thiel de Vries, J., Coeveld, E., de Vroeg, J., and van de Graa, J. (2008). Large-scale dune erosion tests to study the influence of wave periods. Coastal Engineering, 55(12):1041-1051.

van Koningsveld, M., de Boer, G., Baart, F., Damsma, T., den Heijer, C., van Geer, P., and de Sonneville, B. (2010). OpenEarth - inter-company management of: data, models, tools & knowledge. In Proceedings WODCON XIX Conference. Beijing, China.

WL|Delft Hydraulics (2007). Dune erosion product 3: Probabilistic dune erosion prediction method. Technical report, WL|Delft Hydraulics, Delft University of Technology and Arcadis.




DOI: https://doi.org/10.9753/icce.v34.management.9