Assistance au calage de modèles numériques en hydraulique ... - TEL

BIBLIOGRAPHIEDAS, A. (2004b), Parameter estimation for muskingum models. Journal of Irrigation and DrainageEngineering, vol. 130, n o 2, p. 140–147. 71DAVIDSON, B. Z., VICHNEVETSKY, R. et WANG, H. T. (1978), Numerical techniques for estimatingbest distributed Manning’s roughness coefficients for open esturial river systems. WaterResources Research, vol. 14, n o 5, p. 777–789. 73, 74DAVIS, D. W. et BARKIN, R. (1989), Preliminary Analysis System for water surface profile computations(PAS) – User’s manual. Report FHWA-IP-89-013, US Army Corps of Engineers,Hydrologic Engineering Center, Davis, California. 43DE MARSILY, G. (1997), De la validation des modèles en sciences de l’environnement. Dans :Tendances nouvelles en modélisation de l’environnement – Journées du Programme Environnement,Vie et Société du CNRS, p. 375–382, Elsevier. 11DE PRONY, G.-C.-F. R. (1804), Recherches physico-mathématiques sur la théorie des eaux courantes.Imprimerie Impériale, Paris, France. 254, 257DEE, D. P., CUNGE, J. A., LABADIE, G., MATEO, A. R., MATHIESEN, M., PRICE, R. K., SAN-TOS, M. et WARREN, R. (1994), Guidelines for documenting the validity of computationalmodelling software. Rap. tech., International Association for Hydraulic Research. 21DEFRA/ENVIRONMENT AGENCY (2003), Reducing uncertainty in river flood conveyance –Review of methods for estimating conveyance. Interim Report 2 W5A – 057, DE-FRA/Environment Agency. 29DEFRA/ENVIRONMENT AGENCY (2004a), Reducing uncertainty in river flood conveyance –Conveyance Manual. R&D Technical Report W5A-057/PR/1, HR Wallingford, Bristol, U.K.36, 54, 64DEFRA/ENVIRONMENT AGENCY (2004b), Reducing uncertainty in river flood conveyance, phase2. Interim Report 3 – Further details of development and testing of Conveyance Estimation System(CES) W5A-057/TR, HR Wallingford. 54DELLEUR, J. W. (1991), Expert systems in hydrology. Dans : Computer Methods in Water ResourcesII – Proceedings of the second International Conference (C. A. Brebbia, D. Ouazar etD. B. Sari, éds.), vol. 3: Computer Aided Engineering in Water Resources, p. 119–133,Computational Mechanics Publications & Springer-Verlag, Marrakesh, Morocco. xixDESLANDRES, V. et PIERREVAL, H. (1991), An expert system prototype assisting the statisticalvalidation of simulation models. Simulation, vol. 56, n o 2, p. 79–89. 123DHERVILLEZ, L. (2001), Incertitude sur l’extension d’une zone inondable. Mémoire de DESSmodélisation et simulation en mécanique, Université Joseph Fourier, Lyon, France. 43DHI (2003a), MIKE 11 – A modelling system for rivers and channels – Reference manual. Rap.tech. 33, 39DHI (2003b), MIKE 11 – A modelling system for rivers and channels – User guide. Rap. tech.33DHONDIA, J. F. (2004), Good modelling practice using SOBEK – An integrated hydraulics modellingpackage. Dans : Proceedings of the Sixth International Conference on Hydroinformatics(S. Y. Liong, K.-K. Phoon et V. M. Babović, éds.), vol. 1, p. 529–536, World ScientificPublishing Company, Singapore. 14DIETRICH, C. R. (2001), On simulation, calibration and ill-conditioning with application toenvironmental system modelling. Dans : Model Validation: Perspectives in Hydrological Science(M. G. Anderson et P. D. Bates, éds.), chap. 6, p. 77–115, Wiley, Chichester, U.K. 157DING, Y., JIA, Y. et WANG, S. S. Y. (2004), Identification of Manning’s roughness coefficients inshallow water flows. Journal of Hydraulic Engineering, vol. 130, n o 6, p. 501–510. 74DINGMAN, S. L. et SHARMA, K. P. (1997), Statistical development and validation of dischargeequations for natural channels. Journal of Hydrology, vol. 199, n o 1-2, p. 13–35. 60, 61DIREN (2000), Crue du 11 juin 2000 – recueil photographique, étude géographie et hydrologique– confluence ariège-lèze. Rap. tech., DIREN Midi-Pyrénées. 157DIREN (2002), Hogneau – Photographies aériennes du 13 février 2002. Web http://www.nord-pas-de-calais.ecologie.gouv.fr/ 172210