Training objectives
Introduction to basic concepts :
Error and uncertainty
Deterministic (classical) and probabilistic (standardized) approaches
- Ways of expressing uncertainties
- Limits of uncertainty assessment and the need for data validation
3D EAU training
Introduction to measurement uncertainties in hydrological quantities (rainfall - flow - concentration)
Program
Basic quantities and derived quantities.
- Type A and type B methods
Repeatability and reproducibility
- Common orders of magnitude for hydraulic and hydrological measurements
- Monte Carlo method
Application to flow measurement
- Analytical method
- Application to simple cases: sum or difference, product or ratio, uncertainty balance, verification by control measurement
- Application to the evaluation of the flow discharged by a weir via one or more height measurements
Application to the accumulation of chronological data
Roles of customer and data provider.
Random and systematic errors
Method reliability and accuracy
