Open Access
| Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
|---|---|---|
| Article Number | 04002 | |
| Number of page(s) | 7 | |
| Section | Hazard analysis and modelling | |
| DOI | https://doi.org/10.1051/e3sconf/20160704002 | |
| Published online | 20 October 2016 | |
- 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., Lamb, R., Keef, C., Tawn, J., Laeger, S., Meadowcroft, I., Surendran, S., Dunning, P. and Batstone, C, (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). Integrating a multivariate extreme value method within a system flood risk model, Journal of Flood Risk Management, 8(2), 145–160 [Google Scholar]
- Gouldby, B., Mendez, F., Guanche, Y., Rueda A. and Minguez R. (2014) A methodology for deriving extreme nearshore sea conditions for structural design and flood risk analysis, Coastal Engineering,Vol. 88, June. [Google Scholar]
- Buhmann, M. D. (2004). Radial basis functions: theory and implementations. Cambridge monographs on applied and computational mathematics, 12, 147–165. [Google Scholar]
- Booij, N et al. (2004). SWAN cycle III version 40.41 user manual. Delft University of Technology 115. [Google Scholar]
- Camus, P., Mendez, F.J. and Medina, R. (2011). A hybrid efficient method to downscale wave climate to coastal areas. Coastal Engineering, 58(9):851–862. [Google Scholar]
- Camus, P., Mendez, F.J., Medina, R. and Cofiño, A.S. (2011). Analysis of clustering and selection algorithms for the study of multivariate wave climate. Coastal Engineering, 58(6):453–462. [Google Scholar]
- Kennedy, M. C., & O’Hagan, A. (2001). Bayesian calibration of computer models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 63(3), 425–464. [Google Scholar]
- Kennedy, M. C., Anderson, C. W., Conti, S., & O’Hagan, A. (2006). Case studies in Gaussian process modelling of computer codes. Reliability Engineering & System Safety, 91(10), 1301–1309. [CrossRef] [Google Scholar]
- Santner, T. J., Williams, B. J., & Notz, W.I. (2013). The design and analysis of computer experiments. Springer Science & Business Media. 121–161. [Google Scholar]
- Snarey, M., Terrett, N. K., Willett, P., & Wilton, D.J. (1997). Comparison of algorithms for dissimilaritybased compound selection. Journal of Molecular Graphics and Modelling,15(6),372–385. [CrossRef] [Google Scholar]
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