Open Access
| Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 6 | |
| Section | Probability of floods and storms | |
| DOI | https://doi.org/10.1051/e3sconf/20160701007 | |
| Published online | 20 October 2016 | |
- Bruun J.T. and Tawn J.A., 1998. Comparison of approaches for estimating the probability of coastal flooding. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47(3): 4 [Google Scholar]
- Hawkes P.J., Gouldby B.P., Tawn J.A. and Owen M.W., 2002. The joint probability of waves and water levels in coastal engineering design. Journal of Hydraulic Research, 40(3): 241–251 [CrossRef] [Google Scholar]
- De Michele C., Salvadori G., Passoni G. and Vezzoli R., 2007. A multivariate model of sea storm using copulas, Coast. Eng. 54 (10), Pgs 734–751. [CrossRef] [Google Scholar]
- Salvadori G., Michele C.D., Durante F, 2011 On the return period and design in a multivariate framework Hydrology and Earth System Sciences [Google Scholar]
- Corbella S. and Stretch D., 2013. Simulating a multivariate sea storm using Archimedean copulas, Coastal Engineering, 76, Pg. 68–78, June [CrossRef] [Google Scholar]
- Serinaldi, 2015 Dismissing Return Periods, Stochastic Environmental Research and Risk Assessment, 29(4), pp 1179–1189.. [Google Scholar]
- Heffernan J. E. and Tawn J. A.,2004. A conditional approach for multivariate extreme values. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 66(3), 497–546 [CrossRef] [Google Scholar]
- Lamb R. et al., 2010. A new method to assess the risk of local and widespread flooding on rivers and coasts. Journal of Flood Risk Management, 3(4): 323–336. [CrossRef] [Google Scholar]
- Wyncoll D. and Gouldby B., 2014 Application of a multivariate extreme value method to flood risk analysis, J. Flood Risk Man. 8(2), 142 [Google Scholar]
- Gouldby B, Mendez F, Guanche Y, Rueda A and Minguez R.m 2014 A methodology for deriving extreme nearshore sea conditions for structural design and flood risk analysis, Coast. Eng, 88 [Google Scholar]
- Booij N., Ris R.C. and Holthuijsen L.H., 1999. A third-generation wave model for coastal regions: 1. Model description and validation. Journal of Geophysical Research: Oceans, 104(C4): 7649–7666. [CrossRef] [Google Scholar]
- O´Hagan A., 2006. Bayesian analysis of computer code outputs: A tutorial. Reliability Engineering & System Safety, 91(11): 1290–1300. [Google Scholar]
- Camus P., Mendez F.J. and Medina R., 2011a. A hybrid efficient method to downscale wave climate to coastal areas. Coastal Engineering, 58(9): 851–862. [CrossRef] [Google Scholar]
- Camus P., Mendez F.J., Medina R. and Cofiño A.S., 2011b. Analysis of clustering and selection algorithms for the study of multivariate wave climate. Coastal Engineering, 58(6): 453–462. [CrossRef] [Google Scholar]
- Goda Y 2000, Random seas and the Design of Maritime Structures, World Scientific Publishing, ISBN 981-02-3256–X [CrossRef] [Google Scholar]
- Battjes J. A., and Janssen J.P. F.M. 1978 Energy loss and set-up due to breaking of random waves, Proc. 16th International Conference on Coastal Engineering, p. 569–587, Am. Soc .of Civ. Eng., New York [Google Scholar]
- Kingston G., Robinson D., Gouldby B. and Pullen T., 2008. Reliable prediction of wave overtopping volumes using bayesian neural networks. FLOOD risk 2008, Keble College, Oxford, UK. [Google Scholar]
- Van Gent M.R.A., Van den Boogaard H.F.P., Pozueta B. & Medina J.R. 2007. Neural network modelling of wave overtopping at coastal structures. Coastal Engineering 54(8): 586–593. [CrossRef] [Google Scholar]
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