Hydrology Statistics

Objectives

Enhance hydrology skills using statistical and probabilistic approaches by example analysis and statistical modeling of rainfall-runoff processes, with methods of processing spatiotemporal data adapted to the problems of hydrology.

Description

• Univariate Statistical Analysis and Probability Law Adjustments
• Extreme variables (annual floods), project floods / rare events (Poisson's law).
• Multivariate statistical analysis, Bayesian estimation, multiple regression, correlation multiple, and Principal Component Analysis (PCA): applications to criticism,
• Reconstitution, and/or mapping of hydrological data.
• Statistical analysis of time series from measurement networks hydrometeorological and hydrogeological.
• Time correlation functions (delays). Statistical identification of the rainfall-flow relationship (P(t)==>(Qt)).
• Geostatistical estimation using the theory of regionalized variables and/or modeling of temporal hydrological variables treated as random processes (your choice) :case study that may vary from year to year).

Session 1 ou session unique - Contrôle des connaissances

Session 2 - Contrôle des connaissances