Open Access
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 20003
Number of page(s) 10
Section Policy appraisal, investment planning and decision making tools
Published online 20 October 2016
  1. Kundzewicz, Z.W., Hirabayashi, Y. and Kanae, S. (2010) River Floods in the Changing Climate-Observations and Projections. Water Resources Management, 24 (11), pp. 2633–2646 [CrossRef] [Google Scholar]
  2. Khaliq, M.N., Ouarda, T.B.M.J., Ondo, J.C., Gachon, P. and Bobee, B. (2006) Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review. Journal of Hydrology, 329 (3-4), pp. 534–552 [CrossRef] [Google Scholar]
  3. Chen, Z. and Grasby, S.E. (2009) Impact of decadal and century-scale oscillations on hydroclimate trend analyses. Journal of Hydrology, 365 (1-2), pp. 122–133 [CrossRef] [Google Scholar]
  4. IPCC(2012) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [Field, C.B., Barros, V., Stocker, T.F., Qin, D., Dokken, D.J., Ebi, K.L., Mastrandrea, M.D., Mach, K.J., Plattner, G.-K., Allen, S.K., Tignor, M., and MidgleyP.M. (eds.)]. Cambridge, UK, and New York, NY, USA: Cambridge University Press. [Google Scholar]
  5. Kundzewicz, Z.W., Kanae, S., Seneviratne, S.I., Handmer, J., Nicholls, N., Peduzzi, P., Mechler, R., Bouwer, L.M., Arnell, N., Mach, K., Muir-Wood, R., Brakenridge, G.R., Kron, W., Benito, G., Honda, Y., Takahashi, K. and Sherstyukov, B. (2013) Flood risk and climate change: global and regional perspectives. Hydrological Sciences Journal, 59 (1), pp. 1–28 [CrossRef] [Google Scholar]
  6. Milly, P.C.D., Betancourt, J., Falkenmark, M., Hirsch, R.M., Kundzewicz, Z.W., Lettenmaier, D.P. and Stouffer, R.J. (2008) Climate change: Stationarity is dead: Whither water management? Science, 319 (5863), pp. 573–574. [CrossRef] [PubMed] [Google Scholar]
  7. Galloway, G. E. (2011). If stationarity is dead, what do we do now? Journal of the American Water Resources Association, 47(3), 563–570 [CrossRef] [Google Scholar]
  8. Merz, S. B., Hall, J., Disse, M. and Schumann, A. (2010). Fluvial flood risk management in a changing world. Natural Hazards and Earth System Sciences, 10(3), 509 [CrossRef] [Google Scholar]
  9. Madsen, H., Lawrence, D., Lang, M., Martinkova, M. and Kjeldsen, T. R. (2013). A review of applied methods in Europe for flood frequency analysis in a changing environment. Prepared for WG4: Flood frequency estimation methods and environmental change for European cooperation in science and technology (COST).[Online] [Accessed 2015] [Google Scholar]
  10. Bell, V.A., Kay, A.L., Cole, S.J., Jones, R.G., Moore, R.J. and Reynard, N.S. (2012) How might climate change affect river flows across the Thames Basin? An area-wide analysis using the UKCP09 Regional Climate Model ensemble. Journal of Hydrology, 442, pp. 89–104. [CrossRef] [Google Scholar]
  11. Kay, A.L. and Jones, D.A. (2012) Transient changes in flood frequency and timing in Britain under potential projections of climate change. International Journal of Climatology, 32 (4). [Google Scholar]
  12. Great Britain, Environment Agency (2016). Adapting to climate change: guidance for risk management authorities. [Online]. Available from: [Accessed 7 March 2016] [Google Scholar]
  13. Seidou, O., Ramsay, A. and Nistor, I. (2012), Climate change impacts on extreme floods II: Improving flood future peaks simulation using non-stationary frequency analysis. Natural Hazards, 60(2), 715–726 [CrossRef] [Google Scholar]
  14. Salas, J. D. and Obeysekera, J. (2014). Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events. Journal of Hydrologic Engineering, 19(3), 554–568 [Google Scholar]
  15. Serinaldi, F. and Kilsby, C. G. (2015). Stationarity is undead: Uncertainty dominates the distribution of extremes. Advances in Water Resources, 77, 17–36 [CrossRef] [Google Scholar]
  16. Milly, P. C. D., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz, Z. W., Lettenmaier, D. P., Stouffer, R. J., Dettinger, M. D. and Krysanova, V. (2015). On critiques of ‘Stationarity is dead: Whither water management?’ Water Resources Research, 51(9), 7785–7789 [CrossRef] [Google Scholar]
  17. Tung, Y. K. (2005). Flood defense systems design by risk-based approaches. Water International, 30(1), 50–57 [CrossRef] [Google Scholar]
  18. Jonkman, S. N., Kok, M., Van Ledden, M. and Vrijling, J. K. (2009). Risk-based design of flood defence systems: A preliminary analysis of the optimal protection level for the New Orleans metropolitan area. Journal of Flood Risk Management, 2(3), 170–181 [CrossRef] [Google Scholar]
  19. Rosner, A., Vogel, R. M. and Krishen, P. H. (2014). A risk-based approach to flood management decisions in a nonstationary world. Water Resources Research, 50(3), 1928–1942 [CrossRef] [Google Scholar]
  20. El Adlouni, S., Bobee, B. and Ourda, T. B. M. J. (2008). On the tails of extreme event distributions in hydrology. Journal of Hydrology, 355(1-4), 16–33 [CrossRef] [Google Scholar]
  21. Hosking, J. R. M. (1997). Regional flood frequency analysis: An approach based on L-moments, Cambridge University Press. [Google Scholar]
  22. Hall, J. W. (2014). Flood risk management decision making under uncertainty. Applied Uncertainty Analysis for flood risk management, Imperial College Press, England, London, pp. 3–24 [CrossRef] [Google Scholar]
  23. Coles, S. (2002). An introduction to statistical modeling of extreme values, Springer, London. [Google Scholar]
  24. Gilleland, E. and Katz, R. W. (2011). New software to analyze how extremes change over time. Eos. Transactions American Geophysical Union, 92(2), 13–14 [CrossRef] [Google Scholar]
  25. Boettle, M. (2011). About the influence of elevation model quality and small-scale damage functions on flood damage estimation. Natural Hazards and Earth System Sciences, 11(12), 3327–3334 [CrossRef] [Google Scholar]
  26. Balqis, M. R. and Hall, J. W. (2014). Flood risk management decision analysis with finite historical records and highly variable climate effects. Vulnerabilty, uncertainty and risk quantification, mitigation and management, Liverpool, UK, pp. 2267–2879 [Google Scholar]
  27. Great Britain, HM Treasury (2011). The Green Book: Appraisal and evaluation in Central Government. Treasury Guidance. [Online] [Accessed 7/3/2015] [Google Scholar]
  28. Di Baldassarre, G., Laio, F. and Montanari, A. (2009). Design flood estimation using model selection criteria. Physics and Chemistry of the Earth, Parts A/B/C, 34(10-12), 606–611 [CrossRef] [Google Scholar]

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