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192 BIBLIOGRAPHIETodini, E. (2007). A mass conservative and water storage consistent variable parameter muskingumcungeapproach. Hydrology and Earth System Sciences, 11:1645–1659.UN (2006). World population prospects : The 2006 revision and world urbanization prospects, populationdivision of the department of economic and social affairs of the united nations secretariat.http ://esa.un.org/unpp.USACE (1993). River Hydraulics, Engineer manual. Rapport d’étude EM 1110-2-1416, US ArmyCorps of Engineers.USACE (2008a). Hec-ras river analysis system, hydraulic reference manual. Rapport d’étude, USArmy Corps of Engineers.USACE (2008b). Hec-ras river analysis system, user’s manual. Rapport d’étude, US Army Corpsof Engineers.tel-00392240, version 1 - 5 Jun 2009Vieux, B., Cui, Z. et Gaur, A. (2004). Evaluation of a physics-based distributed hydrologic modelfor flood forecasting. J. Hydrol., 298:155–177.Whiteaker, T. L., Robayo, O., Maidment, D. R. et Obenour, D. (2006). From a NEXRADrainfall map to a flood inundation map. J. Hydrol. Eng., 11(1):37–45.Whitehead, P. (1979). Applications of Recursive Estimation Techniques to Time Variable HydrologicalSystems. J. Hydrol., 40(1/2).Yang, J., Reichert, P., Abbas<strong>pour</strong>, K. et Yang, H. (2007). Hydrological modelling of theChaohe Basin in China : Statistical model formulation and Bayesian inference. J. Hydrol., 340(3-4):167–182.Yang, X. (1993). Mise au point d’une méthode d’utilisation d’un modèle pluie-débit conceptuel<strong>pour</strong> la prévision des crues en temps réel. Thèse de doctorat, ENPC/CERGRENE.Yapo, P., Gupta, H. et Sorooshian, S. (1998). Multi-objective global optimization for hydrologicmodels. J. Hydrol., 204(1-4):83–97.Yu, P. et Yang, T. (2000). Using synthetic flow duration curves for rainfall-runoff model calibrationat ungauged sites. Hydrol. Processes, 14:117–133.
tel-00392240, version 1 - 5 Jun 2009Annexes193
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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 165 and 166: Chapitre 7Simplifications de la str
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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
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: BIBLIOGRAPHIE 191Shamseldin, A., O
Page 195 and 196: Annexe ATable de correspondance ent
Page 197 and 198: Annexe A. Table de correspondance e
Page 199 and 200: Annexe BCaractéristiques et cartes
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Page 203 and 204: Légende des cartes8 kmMaillage SAF
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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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