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186 BIBLIOGRAPHIELindström, G., Johansson, B., Persson, M., Gardelin, M. et Bergström, S. (1997). Developmentand test of the distributed HBV-96 hydrological model. J. Hydrol., 201(1-4):272–288.Linsley, R. (1982). Rainfall-runoff models-an overview. In Singh, V., éditeur : Proceedings of theinternational symposium on rainfall-runoff modelling, pages 3–22. Water Resources Publications,Littleton, CO.Linsley, R. K. (1949). Applied Hydrology.Litrico, X. (1999). Modélisation, identification et commande robuste de systèmes hydraulique àsurface libre. Thèse de doctorat, ENGREF.Lobligeois, F. (2008). Etude des stratégies de couplage entre un modèle hydrologique et un modèlehydraulique. Application à la modélisation-semi distribuée du bassin versant du Serein. Mémoirede Master, ENSEEIHT, Toulouse.tel-00392240, version 1 - 5 Jun 2009Loumagne, C., Michel, C., Palagos, B., Baudez, J. . et Bartoli, F. (1999). From a globalto a semi-distributed approach in rainfall-runoff modelling. Houille Blanche, 54(6):81–88.Madsen, H. (2003). Parameter estimation in distributed hydrological catchment modelling usingautomatic calibration with multiple objectives. Adv. in Water Res., 26(2):205–216.Madsen, H. et Skotner, C. (2005). Adaptive state updating in real-time river flow forecasting—acombined filtering and error forecasting procedure. J. Hydrol., 308(1-4):302–312.Malaterre, P. O. (1995). Modélisation, analyse et commande optimale LQR d’un canal d’irrigation.Thèse de doctorat, LAAS-CNRS-ENGREF-Cemagref.Marcé, R., Ruiz, C. et Armengol, J. (2008). Using spatially distributed parameters and multiresponseobjective functions to solve parameterization of complex applications of semi-distributedhydrological models. Water Resour. Res., 44(2):W02436.Martz, L. W. et Garbrecht, J. (1998). The treatment of flat areas and depressions in automateddrainage analysis of raster digital elevation models. Hydrol. Processes, 12:843–855.Mathevet, T. (2005). Quels modèles pluie-débit globaux au pas de temps horaire ? Développementsempiriques et comparaison de modèles sur un large échantillon de bassins. Thèse de doctorat,ENGREF.McCarthy, G. T. (1938). The Unit Hydrograph and Flood Routing. Unpublished manuscript (citépar Chow, 1959). A conference of the North Atlantic Division of the US Army Corps of Engineers.McKenzie, R. et Craig, A. (2001). Evaluation of river losses from the Orange River using hydraulicmodelling. J. Hydrol., 241(1-2):62–69.MEEDDAT (2007). Guide méthodologique pour le pilotage des etudes hydrauliques. Rapportd’étude, Ministère de l’Ecologie, de l’Energie, du Développement durable et de l’Aménagement duterritoire.
BIBLIOGRAPHIE 187MEEDDAT (2008). Banque hydro. http ://www.hydro.eaufrance.fr/.Merz, R. et Blöschl, G. (2004). Regionalisation of catchment model parameters. J. Hydrol.,287(1-4):95–123.Merz, R. et Blöschl, G. (2005). Flood frequency regionalisation—spatial proximity vs. catchmentattributes. J. Hydrol., 302(1-4):283–306.Michaud, J. et Sorooshian, S. (1994). Comparison of simple versus complex distributed runoffmodels on a midsized semiarid watershed. Water Resour. Res., 30(3):593–605.Michel, C. (1983). Que peut-on faire en hydrologie avec un modèle conceptuel à un seul paramètre ?La Houille Blanche, 1:39–44.Michel, C. (1991). Hydrologie appliquée aux petits bassins ruraux. Deux volumes. Cemagref,Antony, France.tel-00392240, version 1 - 5 Jun 2009Michel, C., Perrin, C., Andréassian, V., Oudin, L. et Mathevet, T. (2006). Has basin-scalemodelling advanced beyond empiricism ? Large Sample Basin Experiments for Hydrological ModelParameterization : Results of the Model Parameter Experiment–MOPEX. IAHS Publ. 307, 2006.Miller, W. et Cunge, J. (1975). Simplified equations of unsteady flow. Unsteady Flow in OpenChannels, ed. K. Mahmood & V. Yevjevich, Vol. 1, Chap. 5. Water Resour. Publ., Fort Collins,Colorado.Montanari, M., Hostache, R., Matgen, P., Schumann, G., Pfister, L. et Hoffmann, L.(2008). Calibration and sequential updating of a coupled hydrologic-hydraulic model using remotesensing-derived water stages. Hydrology and Earth System Sciences, 5:3213–3245.Moramarco, T., Barbetta, S., Melone, F. et Singh, V. (2006). A real-time stage Muskingumforecasting model for a site without rating curve/Un modele de prevision du niveau detype Muskingum en temps reel pour un site sans courbe de tarage. Hydrol. Sciences Journal,51(1):66–82.Moramarco, T., Fan, Y. et Bras, R. L. (1999). Analytical solution for channel routing withuniform lateral inflow. Journal of Hydraulic Engineering, 125(7):707–712.Moramarco, T. et Singh, V. (2000). A practical method for analysis of river waves and forkinematic wave routing in natural channel networks. Hydrol. Processes, 14:51–62.Morris, E. M. (1980). The Propagation of Waves in Shallow Water Flow with Lateral Inflow.Hydrological Sciences Bulletin, 25(1).Motovilov, Y., Gottschalk, L., Engeland, K. et Rodhe, A. (1999). Validation of a distributedhydrological model against spatial observations. Agricultural and Forest Meteorology,98:257–277.
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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 and 182: BibliographieAbbott, M. et Refsgaar
Page 183 and 184: BIBLIOGRAPHIE 183Brutsaert, W. (200
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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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