
Ermine, J.-L., Chaillot, M., Bigeon, P., Charreton, B., Malavielle, D., 1996. Identification of Manning's roughness coefficients in shallow water flows. World Scientific Publishing Company, Singapore. In: Liong, S.Y., Phoon, K.-K., Babovic, V.M., (Eds.), Proceedings of the Sixth International Conference on Hydroinformatics. Good modelling practice using Sobek - an integrated hydraulics modelling package. Reducing uncertainty in river flood conveyance - review of methods for estimating conveyance. Techniques of Water-Resources Investigations Report, Chapter A2. Measurement of peak discharge by the slope-area method. A knowledge-based model of watershed assessment for sediment. Practical Aspects of Computational River Hydraulics. Estimating hydraulic roughness coefficients. Knowledge management system on flow and water quality modeling. Manipulation of numerical coastal flow and water quality models. (Eds.), Automatic Differentiation: Applications, Theory, and Tools, Springer, Chicago, Illinois. In: Bücker, H.M., Corliss, G., Hovland, P., Naumann, U., Norris, B. Automatic differentiation: a tool for variational data assimilation and adjoint sensitivity analysis for flood modeling. US Army Corps of Engineers, Institute for Water Resources, Hydrologic Engineering Center. Hec-Ras, River Analysis System - User's manual. The future of distributed models - model calibration and uncertainty Prediction. Proceedings of the Institution of Civil Engineers-Water Maritime and Energy.
#Hydraulique fluviale hec ras code
Internal and external validation of a two-dimensional finite element code for river flood simulations. (Eds.), Model Validation: Perspectives in Hydrological Science, Wiley, Chichester, U.K. Roughness characteristics of natural channels. Guide for selecting Manning's roughness coefficients for natural channels and flood plains. The role of the postaudit in model validation. Model Validation: Perspectives in Hydrological Science. Automatic calibration of computational river models. Anastasiadou-Partheniou and Samuels, 1998.Reply to comments on "Towards the hydraulics of the hydroinformatics era". Hydroinformatics: a Copernican revolution in hydraulics. Hydroinformatics - Information Technology and the Aquatic Environment. This study thus provides a framework for building operational support tools from various types of existing engineering guidelines. Relevant reasoning rules can easily be added to the knowledge base to extend the prototype range of applications. Using CaRMA-1 allows the modeller to achieve the calibration task in accordance with good calibration practice implemented in the knowledge base. Two case studies illustrate the ability of the prototype to face operational situations in river hydraulics engineering, for which both data quality and quantity are not sufficient for an optimal calibration. A prototype called CaRMA-1 (Calibration of River Model Assistant) has been developed for supporting the calibration of models based on a specific 1D code. The article then presents an integration of selected guidelines within a knowledge-based calibration support system. This article reviews currently available guidelines for a river hydraulics modeller by dividing them into three types: on the calibration process, on hydraulic parameters, and on the use of hydraulic simulation codes. Model calibration remains a critical step in the modelling process and different approaches have been taken to develop guidelines to support engineers and scientists in this task. Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems.
