IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 35th IAHR Congress - Chengdu (2013) : THEME 5 - FLUVIAL HYDRAULICS AND RIVER MANAGEMENT : Uncertainty Analysis of Stage-Discharge Relations using the BaRatin Bayesian Framework
Uncertainty Analysis of Stage-Discharge Relations using the BaRatin Bayesian Framework
Author : J‚r“me Le Coz, Benjamin Renard, Laurent Bonnifait, Flora Branger and Rapha‰l Le Boursicaud
Most often, continuous records of flow rates in rivers are based on so-called 'rating curves', which are simple stage-discharge functions calibrated using directly measured stage-discharge data called 'gaugings'. Among other methods, Bayesian inference has recently emerged as a promising framework for establishing rating curves and for estimating the associated uncertainty rigorously. A methodology and the necessary tools (software BaRatin and its graphical interface BaRatinAGE) have been developed to assist in analysing stationary rating curves. The main advantage of the method stems from combining prior knowledge on hydraulic controls and gaugings with individual uncertainties. Some examples of results are presented for different hydrometric stations with varied stream sizes, nature of hydraulic controls, and abundance and quality of gaugings.
File Size : 868,014 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 35th IAHR Congress - Chengdu (2013)
Article : THEME 5 - FLUVIAL HYDRAULICS AND RIVER MANAGEMENT
Date Published : 18/07/2016
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