Open Access
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 01006
Number of page(s) 16
Section Probability of floods and storms
Published online 20 October 2016
  1. Institute of Hydrology. (1999) Flood Estimation Handbook, (five volumes). Institute of Hydrology, Wallingford. ISBN: 978–0–948540–94–3. [Google Scholar]
  2. Hosking J.R.M. and Wallis J.R. (1997b) Regional frequency analysis: an approach based on L-moments. Cambridge University Press. [Google Scholar]
  3. Archer D.R. (1999). Practical application of historical flood information to flood estimation. Hydrological Extremes: Understanding, predicting, mitigating, Ed by Gottschalk L, Olivry J-C, Reed D. and Rosbjerg D. IAHS Publisher 255, 191–199. [Google Scholar]
  4. Brown A.G., 2003. Global environmental change and the palaeohydrology of Western Europe: a review. In: Gregory K.J. and Benito G. (Editors), Palaeohydrology: Understanding Global Change. John Wiley & Sons Ltd, Chichester, UK, pp. 105–121. [Google Scholar]
  5. Bayliss A.C. and Reed D.W. (2001). The use of historical data in flood frequency estimation. Report to MAFF. CEH Wallingford. [Google Scholar]
  6. Wang Q. (1990a) Estimation of the GEV distribution from censored samples by method of partial probability weighted moments. Journal of Hydrology, 120, 103–114. [CrossRef] [Google Scholar]
  7. Wang Q. (1990b) Unbiased estimation of probability weighted moments and partial probability weighted moments from systematic and historical flood information and their application. Journal of hydrology, 120, 115–124. [CrossRef] [Google Scholar]
  8. Kjeldsen T.R., Macdonald N., Lang M., Mediero L., Albuquerque T., Bogdanowicz E., Brázdil R., Castellarin A., David V., Fleig A., Gül G. O., Kriauciuniene J., Kohnová S., Merz B., Nicholson O., Roald L. A., Salinas J. L., Sarauskiene D. and Šraj M., Strupczewski W. G., Szolgay J., Toumazis A., Vanneuville W., Veijalainen N. and Wilson D. (2014) Documentary evidence of past floods in Europe and their utility in flood frequency estimation. Journal of Hydrology, 517, 963–973. [CrossRef] [Google Scholar]
  9. Stedinger J.R. and Cohn T.A. (1986). Flood Frequency Analysis With Historical and Paleoflood Information. Water Resources Research, 22, 785–793. [Google Scholar]
  10. Macdonald N., Kjeldsen T.R., Prosdocimi I. and Sangster H. (2014) Reassessing flood frequency for the Sussex Ouse, Lewes: the inclusion of historical flood information since AD 1650. Natural Hazards and Earth System Science, 14, 2817–2828. [CrossRef] [Google Scholar]
  11. Gaume E., Gaál L., Viglione A. and Szolgay J. (2010) Bayesian MCMC approach to regional flood frequency analyses involving extraordinary flood events at ungauged sites. Journal of Hydrology, 394, 101–117. [CrossRef] [Google Scholar]
  12. Neppel L., Renard B., Lang M., Ayral P.A., Coeur D., Gaume E., Jacob N., Payrastre O., Pobanz K. and Vinet F., (2010). Flood frequency analysis using historical data: accounting for random and systematic errors. Hydrological Sciences Journal–Journal des Sciences Hydrologiques, 55, 2, 192–208. [CrossRef] [Google Scholar]
  13. Greenwood J.A., Landwehr J.M., Matalas N.C. and Wallis J.R., 1979. Probability weighted moments: definition and relation to parameters of several distributions expressable in inverse form. Water Resources Research, 15, 5, 1049–1054. [CrossRef] [Google Scholar]
  14. Frances F., Salas J.D. and Boes D.C. (1994) Flood frequency analysis with systematic and historical or paleoflood data based on the two-parameter general extreme value models. Water Resources Research, 30, 1653–1664. [CrossRef] [Google Scholar]
  15. Nguyen C., Gaume E. and Payrastre O. (2014) Regional flood frequency analyses involving extraordinary flood events at ungauged sites: further developments and validations. Journal of Hydrology, 508, 385–396. [CrossRef] [Google Scholar]
  16. Sabourin A. and Renard B. (2015) Combining regional estimation and historical floods: A multivariate semiparametric peaks-over-threshold model with censored data. Water Resources Research, 51, 9646–9664. [CrossRef] [Google Scholar]

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