In brief
- Number of hours : 17,5
- Code : N9EM09B
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
Modalité | Nature | Coefficient | Remarques |
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CT (contrôle terminal) | Oral/Ecrit | 100% | RAP-HSTA |
Session 2 - Contrôle des connaissances
Modalité | Nature | Coefficient | Remarques |
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CT (contrôle terminal) | Oral/Ecrit | 100% | RAP-HSTA |