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All issues Volume 7 (2016) E3S Web Conf., 7 (2016) 10005 References
Open Access
Issue
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 10005
Number of page(s) 12
Section Hazard and risk mapping
DOI https://doi.org/10.1051/e3sconf/20160710005
Published online 20 October 2016
  1. B. Chazelle, L.Lambert, and C. P.Capoccioni, ‘Railway vulnerability in case of extremes floods. Knowledge and risk management’, Houille Blanche, no. 2, pp. 48–54, 2014. [CrossRef] [EDP Sciences] [Google Scholar]
  2. C. Pams-Capoccioni, D.Nivon, J.Amblard, G.De cesare, and T.Ghilardi, ‘Risk analysis for railway traffic of overflowing of the drainage system on High Speed Lines.’, Houille Blanche, no. 4, pp. 39–45, 2015. [CrossRef] [EDP Sciences] [Google Scholar]
  3. J. Amblard, C. P.Capoccioni, D.Nivon, L.Mellal, G.De Cesare, T.Ghilardi, M.Jafarnejad, and E.Battisacco, ‘Analysis of Ballast Transport in the Event of Overflowing of the Drainage System on High Speed Lines’, Int. J. Railw. Technol., vol. 4, no. EPFL-ARTICLE-215824, pp. 19–43, 2015. [CrossRef] [Google Scholar]
  4. J. Dehotin, B. Chazelle, L. Lambert, P. Breil, I. Braud, C. Pams Capoccioni, J. Amblard, and L. Mellal, ‘Diagnostic de l’impact du ruissellement sur la plateforme ferroviaire avec la méthode IRIP’, Symp. Int. GEORAIL, p. 11, 2014. [Google Scholar]
  5. N. Tennakoon, B. Indraratna, C. Rujikiatkamjorn, S. Nimbalkar, and T. Neville, ‘The Role of Ballast-Fouling Characteristics on the Drainage Capacity of Rail Substructure’, Geotech. Test. J., vol. 35, no. 4, p. 104107, Jul. 2012. [CrossRef] [Google Scholar]
  6. O. Cerdan, V. Souchère, V. Lecomte, A. Couturier, and Y. Le Bissonnais, ‘Incorporating soil surface crusting processes in an expert-based runoff model: sealing and transfer by runoff and erosion related to agricultural management’, Catena, vol. 46, no. 2, pp. 189–205, 2002. [CrossRef] [Google Scholar]
  7. P. Le Gouee, D. Delahaye, M. Bermond, M. Marie, J. Douvinet, and V. Viel, ‘SCALES: a large-scale assessment model of soil erosion hazard in Basse-Normandie (northern-western France)’, Earth Surf. Process. Landf., vol. 35, no. 8, pp. 887–901, Jun. 2010. [CrossRef] [Google Scholar]
  8. J. Douvinet, M. J. V. D. Wiel, D. Delahaye, and E. Cossart, ‘A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling’, Nat. Hazards, vol. 75, no. 3, pp. 2905–2929, Oct. 2014. [CrossRef] [Google Scholar]
  9. F. Pons, J.-L. Delgado, P. Guero, and E. Berthier, ‘EXZECO: a gis and dem based method for pre-determination of flood risk related to direct runoff and flash floods’, presented at the 9th International Conference on Hydroinformatics, Tianjin, CHINA, 2010. [Google Scholar]
  10. P. Demarcin, A. Smoos, S. Dautrebande, A. I. Mokadem, and A. Degre, ‘ERRUISSOL project or the mapping of areas at risk of runoff and erosion in the Walloon Region (Belgium)’, presented at the 10èmes Journées d’étude des sols, Strasbourg FRA, 2009. [Google Scholar]
  11. J. Dehotin, P. Breil, I. Braud, A. de Lavenne, M. Lagouy, and B. Sarrazin, ‘Detecting surface runoff location in a small catchment using distributed and simple observation method’, J. Hydrol., vol. 525, pp. 113–129, Jun. 2015. [Google Scholar]
  12. J. Dehotin, B. Chazelle, G. Laverne, A. Hasnaoui, L. Lambert, P. Breil, and I. Braud, ‘Applying runoff mapping method IRIP for flooding risk analysis on railway infrastructure’, Houille Blanche, no. 6, pp. 56–64, 2015. [CrossRef] [EDP Sciences] [Google Scholar]
  13. J. Dehotin and P. Breil, ‘Technical report of the IRIP project: mapping the flooding by runoff’, IRSTEA Hydrology-Hydraulic Research Unit, Technical report, Jul. 2011. [Google Scholar]
  14. L.-R. Lagadec, P. Patrice, B. Chazelle, I. Braud, J. Dehotin, E. Hauchard, and P. Breil, ‘Description and evaluation of an intense surface runoff susceptibility mapping method’, J. Hydrol., 2016. [Google Scholar]
  15. N. Hudson, Field measurement of soil erosion and runoff, vol. 68. Food & Agriculture Org., 1993. [Google Scholar]
  16. IPCC, ‘IPCC Third Assessment Report – Climate Change 2001: 2.3.2.1 Palaeoclimate proxy indicators’, 2003. [Google Scholar]
  17. J.-P. Naulin, O. Payrastre, and E. Gaume, ‘Spatially distributed flood forecasting in flash flood prone areas: Application to road network supervision in Southern France’, J. Hydrol., vol. 486, pp. 88–99, Apr. 2013. [Google Scholar]
  18. P.-A. Versini, E. Gaume, and H. Andrieu, ‘Assessment of the susceptibility of roads to flooding based on geographical information – test in a flash flood prone area (the Gard region, France)’, Nat. Hazards Earth Syst. Sci., vol. 10, no. 4, pp. 793–803, 2010. [CrossRef] [Google Scholar]
  19. P.-A. Versini, E. Gaume, and H. Andrieu, ‘Application of a distributed hydrological model to the design of a road inundation warning system for flash flood prone areas’, Nat. Hazards Earth Syst. Sci., vol. 10, no. 4, pp. 805–817, 2010. [CrossRef] [Google Scholar]
  20. P. Javelle, J. Demargne, D. Defrance, J. Pansu, and P. Arnaud, ‘Evaluating flash-flood warnings at ungauged locations using post-event surveys: a case study with the AIGA warning system’, Hydrol. Sci. J., vol. 59, no. 7, pp. 1390–1402, Jul. 2014. [Google Scholar]
  21. K. L. Ortega, T. M. Smith, K. L. Manross, A. G. Kolodziej, K. A. Scharfenberg, A. Witt, and J. J. Gourley, ‘The severe hazards analysis and verification experiment’, Bull. Am. Meteorol. Soc., vol. 90, no. 10, pp. 1519–1530, 2009. [CrossRef] [Google Scholar]
  22. D. Bourguignon, ‘Événements et territoires-le coût des inondations en France: analyses spatiotemporelles des dommages assurés’, Université Paul Valéry-Montpellier III, 2014. [Google Scholar]
  23. J. Douvinet, ‘Intérêts et limites des données « CatNat » pour un inventaire des inondations. L’exemple des « crues rapides » liées à de violents orages (Bassin parisien, Nord de la France)’, Norois Environ. Aménage. Société, no. 201, pp. 17–30, Dec. 2006. [CrossRef] [Google Scholar]
  24. P. Arnaud and J. Dehotin, ‘Surface runoff hazard estimation methods - Comparison of the SHYREG and the IRIP methods’, IRSTEA Aix-en-Provence et IRSTEA Lyon, Dec. 2011. [Google Scholar]
  25. O. Benarina, ‘Intense surface runoff related flood modeling for the prediction and prevention of cuts of roads and railway lines.’, IRSTEA Lyon, Master thesis, 2015. [Google Scholar]
  26. A. Hasnaoui, ‘Utilisation de la méthode IRIP pour l’estimation des débits des bassins versants non jaugés’, SNCF Projets Systèmes Ingénierie, Mémoire de fin d’études, Sep. 2013. [Google Scholar]
  27. J. Legros, ‘Study of datas gived by a method of flooding harzard by surface runoff in flow discharge modelling linked with this kind of flooding’, IRSTEA Hydrology-Hydraulic Research Unit, Master thesis, Sep. 2014. [Google Scholar]
  28. L. Mellal, ‘Application de la méthode de cartographie du ruissellement IRIP (Indicateur du Ruissellement Intense pluvial) sur la ligne à grande vitesse Paris-Lyon’, SNCF Projets Systèmes Ingénierie, Mémoire de fin d’études, Sep. 2014. [Google Scholar]
  29. K. J. Beven and M. J. Kirkby, ‘A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d’appel variable de l’hydrologie du bassin versant’, Hydrol. Sci. J., vol. 24, no. 1, pp. 43–69, 1979. [Google Scholar]
  30. R. E. Horton, ‘Drainage-basin characteristics’, Trans. Am. Geophys. Union, vol. 13, no. 1, p. 350, 1932. [CrossRef] [Google Scholar]
  31. F. J. Heyns, ‘Railway track drainage design techniques’, Dr. Diss. Available Proquest, pp. 1–354, Jan. 2000. [Google Scholar]
  32. E. Gaume and M. Borga, ‘State of the art on the knowledge recently acquired on flash floods in Europe: results of the European research project HYDRATE (2006-2010)’, Houille Blanche-Rev. Int. Eau, no. 2, pp. 24–30, Apr. 2013. [CrossRef] [EDP Sciences] [Google Scholar]

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