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182 BIBLIOGRAPHIEBaptista, M. (1990). Contribution à l’étude de la propagation de crues en hydrologie. Thèse dedoctorat, Ecole Nationale des Ponts et Chaussées.Baume, J., Malaterre, P., Belaud, G. et Le Guennec, B. (2005). SIC : a 1D hydrodynamicmodel for river and irrigation canal modeling and regulation. Métodos Numéricos em RecursosHidricos, page 1–81.Belleudy, P. (2000). Restoring flow capacity in the Loire River bed. Hydrological Processes,14(13):2331–2344.Bentura, P. L. F. (1995). Développement d’une méthode de propagation de crue (méthode ”délaistockage”). Thèse de doctorat, Université Paris XII Val-de-Marne.Bentura, P. L. F. et Michel, C. (1997). Flood routing in a wide channel with a quadraticlag-and-route method. Hydrol. Sciences Journal, 42(2):169–185.tel-00392240, version 1 - 5 Jun 2009Bergström, S. (1995). The HBV model. In Singh, V., éditeur : Computer Models of WatershedHydrology, pages 443–476. Water Resources Publications.Bergström, S. et Forsman, A. (1973). Development of a conceptual deterministic rainfallrunoffmodel. Nordic Hydrology, 4:147–170.Berthet, L. (2009). Mise au point d’un modèle hydrologique de prévision des crues à pas de tempsfin, Thèse en cours. Thèse de doctorat, AgroParisTech, Cemagref Antony.Beven, K. (1989). Changing ideas in hydrology-the case of physically-based models. J. Hydrol.,105(1-2):157–172.Beven, K. (2000). Uniqueness of place and process representations in hydrological modelling.Hydrology and Earth System Sciences, 4:203–214.Beven, K. J. (2001). On hypothesis testing in hydrology. Hydrol. Processes, 15:1655–1657.Blöschl, G. et Sivapalan, M. (1995). Scale issues in hydrological modelling : A review. Hydrol.Processes, 9(3-4):251–290.Bourqui, M. (2008). Impact de la variabilité spatiale des précipitations sur les performances desmodèles hydrologiques. Thèse de doctorat, ENGREF.Box, George, E. P. et Tiao, George, C. (1992). Bayesian Inference in Statistical Analysis. Wiley-Interscience.Boyle, D. P., Gupta, H. V., Sorooshian, S., Koren, V., Zhang, Z. et Smith, M. (2001).Toward improved streamflow forecasts : Value of semidistributed modeling. Water Resour. Res.,37(11):2749–2759.Brutsaert, W. (1971). De Saint-Venant equations experimentally verified. Journal of HydraulicDivision, 97:1387–1401.
BIBLIOGRAPHIE 183Brutsaert, W. (2005). Hydrology. An introduction. Cambridge University Press, UK.Butts, M. B., Payne, J. T., Kristensen, M. et Madsen, H. (2004). An evaluation of the impactof model structure on hydrological modelling uncertainty for streamflow simulation. J. Hydrol.,298(1-4):242–266.Cappelaere, B. (1997). Accurate diffusive wave routing. Journal of Hydraulic Engineering, 123:174–181.Cemagref (1980). Synthèse nationale sur les crues des petits bassins versants. Méthodes SOCOSEet CRUPEDIX. Rapport d’étude, 3 fascicules, 120 p.Chen, S. H., Lin, Y. H., Chang, L. C. et Chang, F. J. (2006). The strategy of building a floodforecast model by neuro-fuzzy network. Hydrol. Processes, 20(7):1525–1540.Chow, V. T. (1959). Open-channel Hydraulics. McGraw-Hill.tel-00392240, version 1 - 5 Jun 2009Clarke, R. (1973). A review of some mathematical models used in hydrology, with observationson their calibration and use. J. Hydrol., 19(1):1–20.Clarke, R. (1999). Uncertainty in the estimation of mean annual flood due to rating-curve indefinition.J. Hydrol., 222(1-4):185–190.Consortium Scilab (2007). Logiciel scilab 4.1.2.Corradini, C. (1991). Evaluation of alternative configurations of basin elements for on-line floodforecasting. Water Resources Bulletin, 27(3):407–418.Cunge, J. A. (1969). On the subject of a flood propagation computation method (Muskingummethod). Journal of Hydraulic Research, 7(2):205–230.Cunge, J. A., Holly Jr, F. M. et Verwey, A. (1980). Practical Aspects of Computational RiverHydraulics. Pitman Advanced Publishing Program.DHI (2003a). MIKE 11, Reference Manual. Rapport d’étude, DHI.DHI (2003b). MIKE 11, User Manual. Rapport d’étude, DHI.Dooge, J. (1997). Searching for Simplicity in Hydrology. Surveys in Geophysics, 18(5):511–534.Dudley, J., Daniels, W., Gijsbers, P., Fortune, D., Westen, S. et Gregersen, J. (2005).Applying the Open Modelling Interface (OpenMI). In Proceedings of the MODSIM 2005 conference,Melbourne, Australia.Durand, Y., Brun, E., Merindol, L., Guyomarc’h, G., Lesaffre, B. et Martin, E. (1993).A meteorological estimation of relevant parameters for snow models. Annals of glaciology, 18:65–71.
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Université Pierre et Marie CurieEc
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3Remerciementstel-00392240, version
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Table des matièresIntroduction gé
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TABLE DES MATIÈRES 7tel-00392240,
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TABLE DES MATIÈRES 9FGParamètres
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tel-00392240, version 1 - 5 Jun 200
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Introduction générale 13Contextet
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Introduction générale 15Probléma
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Introduction générale 17Crue de d
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Première partietel-00392240, versi
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Chapitre 1Apports latéraux dans le
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Chapitre 1. Apports latéraux dans
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Chapitre 2Présentation de l’éch
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Chapitre 2. Présentation de l’é
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Chapitre 3Choix des modèles hydrol
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Chapitre 3. Choix des modèles hydr
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Chapitre 4Stratégie de calage et d
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Chapitre 4. Stratégie de calage et
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Deuxième partietel-00392240, versi
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Chapitre 5Jusqu’où est-il néces
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Chapitre 5. Jusqu’où est-il néc
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Page 177 and 178: Conclusion générale 177Dans le ca
Page 179 and 180: Conclusion générale 179Quel est l
Page 181: BibliographieAbbott, M. et Refsgaar
Page 185 and 186: BIBLIOGRAPHIE 185Jakeman, A. et Hor
Page 187 and 188: BIBLIOGRAPHIE 187MEEDDAT (2008). Ba
Page 189 and 190: BIBLIOGRAPHIE 189Oudin, L., Andréa
Page 191 and 192: BIBLIOGRAPHIE 191Shamseldin, A., O
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Page 195 and 196: Annexe ATable de correspondance ent
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Page 199 and 200: Annexe BCaractéristiques et cartes
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Annexe B. Caractéristiques et cart
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Annexe CLes débits négatifs dans
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Annexe C. Les débits négatifs dan
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Annexe DApproximation de la courbe
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Annexe D. Approximation de la courb
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Annexe EAlgorithmique et codes C de
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Annexe E. Algorithmique et codes C
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Annexe Ftel-00392240, version 1 - 5
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Annexe F. Paramètres et critères
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Annexe F. Paramètres et critères
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Annexe GParamètres et critères de
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Annexe G. Paramètres et critères
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Annexe G. Paramètres et critères
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Annexe Htel-00392240, version 1 - 5
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Towards robust methods to couple lu
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5forecasting (Smith et al., 2009, t
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tion for a hydraulic model.These tw
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Apart from these few examples, the
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150nel (see Figure 1.d).All the dat
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tributed. Accordingly, the differen
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4.2 Lumped Rainfall-Runoff Model245
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∫ tO(t) = Ψ(t)+0with: Ψ(t) = L[
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model. The main advantage of this p
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that the robustness of the method c
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425no. 2, 7 and 11, see Table 1). O
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performance between low (one tribut
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520circles and squares indicate the
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combination of uniformly distribute
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620Das, T., Bárdossy, A., Zehe, E.
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model for streamflow simulation. J.
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(a) (b)Flint Creek nearKansasIllino
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1 tributary 2 tributariestel-003922
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1000(a) Tahlequah, Event no. 2Obs.1
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EP, Peak Error (%)3530252015(a) Tah
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(a) Option 1 (Point+Unif. Distr. In
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Peak flowPeak flowEvent Nb. Start E
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Annexe Itel-00392240, version 1 - 5
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WATER RESOURCES RESEARCH, VOL. ???,
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LERAT ET AL.: VALUE OF UPSTREAM FLO
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