EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 7 (2016) E3S Web Conf., 7 (2016) 01004 References
Open Access
Issue
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 01004
Number of page(s) 7
Section Probability of floods and storms
DOI https://doi.org/10.1051/e3sconf/20160701004
Published online 20 October 2016
  1. ArnaudP. and LavabreJ. (2002) Coupled rainfall model and discharge model for flood frequency estimation. Water Resource Research. 38(6). [Google Scholar]
  2. ArnaudP., LavabreJ., et al. (2008) Regionalization of an hourly rainfall generating model over metropolitan France for flood hazard estimation. Hydrological Sciences Journal. 53(1) 34–47. [CrossRef] [Google Scholar]
  3. ArnaudP. and LavabreJ. (2010) Estimation de l’aléa pluvial en France métropolitaine. QUAE, Paris. Update Sciences & Technologies. 158 p. [Google Scholar]
  4. ArnaudP. et al. (2011) Sensitivity of hydrological models to uncertainties in rainfall input. Hydrological Sciences Journal 56(3) 397–410. [CrossRef] [Google Scholar]
  5. ArnaudP., CantetP. and AubertY. (2016) Relevance of an at-site flood frequency analysis method for extreme events based on stochastic simulation of hourly rainfall. Hydrological Sciences Journal 61(1) 36–49. [CrossRef] [Google Scholar]
  6. AubertY., ArnaudP., RibsteinP. and FineJ.A. (2014) La méthode SHYREG débit, application sur 1605 bassins versants en France Métropolitaine Hydrological Sciences Journal 59(5) 993–1005. [CrossRef] [Google Scholar]
  7. BoughtonW. and DroopO. (2003) Continuous simulation for design flood estimation - a review. Environmental Modelling & Software 18(4) 309–318. [CrossRef] [Google Scholar]
  8. CastellarinA. et al (2012) Review of applied statistical methods for flood frequency analysis in Europe: WG2 of COST Action ES0901. [Google Scholar]
  9. CernessonF., LavabreJ. and MassonJ.M. (1996) Stochastic model for generating hourly hyetographs. Atmospheric Research 42, 149–161 [CrossRef] [Google Scholar]
  10. ChowV.T., MaidmentD.R., MaysL.W. (1988) Applied hydrology. McGraw-Hill, Inc. 572 p. [Google Scholar]
  11. ColesS. (2001) An introduction to Statistical Modeling of Extreme Values. Springer Series in Statistics, ed. Springer-Verlag. London: Springer-Verlag.210 p. [Google Scholar]
  12. DarlympleT. (1960) Flood-frequency analysis. Water Supply Pap., 1543A - US Geol Surv. [Google Scholar]
  13. EaglesonP.S. (1972) Dynamics of flood frequency. Water Resources Research 8(4) 878–898. [CrossRef] [Google Scholar]
  14. FoltonN. and LavabreJ. (2006) Regionalization of a monthly rainfall-runoff model for the southern half of France based on a sample of 880 gauged catchments. IAHS Publication Large Sample Basin Experiments for Hydrological Model Parameterization. 4, 264–277 [Google Scholar]
  15. FouchierC. (2010) Développement d’une méthodologie pour la connaissance régionale des crues. Thèse de Doctorat de l’Université Montpellier II. 202 p. [Google Scholar]
  16. GuillotP. and DubandD. (1967) La méthode du Gradex pour le calcul de la probabilité des crues à partir des pluies. I.A.S.H. Publication, 84. [Google Scholar]
  17. HoskingJ.R.M. and WallisJ.R. (1993) Some statistics useful in regional frequency analysis. Water Resour. Res., 29(2) 271–281. [Google Scholar]
  18. HoskingJ.R.M. and WallisJ.R. (1997) Regional frequency analysis: an approach based on Lmoments. Cambridge University Press. [Google Scholar]
  19. KatzR.W., ParlangeM.B. and NaveauP. (2002) Statistics of extremes in hydrology. Advances in Water Resources 25(8-12) 1287–1304. [Google Scholar]
  20. KochanekK., RenardB., ArnaudP., AubertY., LangM., CiprianiT., and SauquetE. (2014) A databased comparison of flood frequency analysis methods used in France. Natural Hazards and Earth System Sciences 14, 295–308. [CrossRef] [Google Scholar]
  21. LangM., ArnaudP., CarreauJ. DelizeauL., GaravagliaF., LatapieA., NeppelL., PaquetE., RenardB. SoubeyrouxJ.-M., TerrierB., VeysseireJ.-M., AubertY., AuffrayA., BorchiF., BernardaraP., CarreJ.-C., ChambonD., CiprianiT., DelgadoJ.-L., DoumencH., FantinR., JourdainS., KochanekK., PaquierA., SauquetE. et TramblayY. (2014) Résultats du projet Extraflo (ANR 2009-2013) sur l’estimation des pluies et des crues extrêmes. La Houille Blanche. 2: 5 [CrossRef] [EDP Sciences] [Google Scholar]
  22. LangM. et Lavabre J. (2007) Estimation de la crue centennale pour les plans de prévention des risques d’inondations, QUAE, Paris. Update Sciences & Technologies. 232 p. [Google Scholar]
  23. LavabreJ., ArnaudP. RoyetP., FineJ-A., DelichereS., FangZ.-X. et FoussardF. (2010) Crue de projet ou cote de projet ? Exemple des barrages écrêteurs de crue du département du Gard. La Houille Blanche 2(2010) 58–64. [CrossRef] [EDP Sciences] [Google Scholar]
  24. LiJ. et al. (2014) An efficient causative event-based approach for deriving the annual flood frequency distribution. Journal of Hydrology 510(0) 412–423. [CrossRef] [Google Scholar]
  25. MerzR. and BlöschlG. (2005) Flood frequency regionalisation—spatial proximity vs. catchment attributes. Journal of Hydrology, 302(1–4), 283–306. [CrossRef] [Google Scholar]
  26. PaquetE. et al. (2013) The SCHADEX method: A semi-continuous rainfall–runoff simulation for extreme flood estimation. Journal of Hydrology, 495(0), 23–37. [CrossRef] [Google Scholar]
  27. OrgandeD., ArnaudP., et al. (2013) Régionalisation d’une méthode de prédétermination de crue sur l’ensemble du territoire français: la method SHYREG. Revue des sciences de l’eau 26(1) 65–78 [CrossRef] [Google Scholar]
  28. RibatetM. et al. (2007) A regional Bayesian POT model for flood frequency analysis. Stochastic Environmental Research and Risk Assessment 21(4) 327–339. [Google Scholar]
  29. StedingerJ.R. and TaskerG.D. (1985) Regional hydrologic analysis: 1. Ordinary, weighted and genaralized least squares compared. Water Resources Research 21(9) 1421–1432. [CrossRef] [Google Scholar]
  30. WillemsP., et al. 2012. Review of European simulation methods for flood-frequency-estimation. WG3: Flood frequency analysis using rainfall-runoff methods. Report of Cost Action ES0901. 66 pages. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.