> Study at Ense3 > Double degrees > E3-STU-COURSES
Become familiar with the principles of data analysis and data screening in hydrology.
Acquire the necessary concepts for the design of hydraulic works aimed either at risk protection against floods or droughts, or at water resources storage and management.
Master the necessary steps to reproduce the hydrological behaviour of a natural or urbanized watershed by choosing the most appropriate tools.
This module is divided in four parts:
1. Statistical hydrology: basics of statistics for hydrology, model fitting techniques on a data sample and hypothesis testing. Stochastic relations between variables: simple and multiple linear correlation. Data screening and error detection.
2. Engineering hydrology: water cycle, hydrological budget and hydrological regimes. Elements of metrology. Runoff generation: loss or production function and Unit Hydrograph or transfer function approach.
3. Hydrological prediction and hydraulic works design: return period, design rainfall and design discharge. Main methods for extreme events prediction and for hydrological design at different scales: hydraulic works, natural watersheds, urban and anthropic watershed.
4. Hydrological modelling: main types of existing hydrological models and modeling steps.
Three project-based learning assignments will be devoted to synthesize and link the themes provided by this module.
Probability and statistics (Mathematics for Engineers module at S1)
First session
ER assessment: 3h individual written examination
EN assessment: Project reports
---------------------------------------------------------------------------
Second session
ER: new examination to replace ER assessment
EN: retaking EN assessment is not possible
Moyenne de l'UE / Course Unit assessment = ER 30% + EN 70%
The exam may be taken in french or in english
The course exists in the following branches:
Course ID : 4EUS3HYI
Course language(s):
You can find this course among all other courses.
Bois, Obled, Zin - 2007 - Introduction au traitement de données en hydrologie (https://www.pseau.org/outils/biblio/resume.php?d=4476)
Hingray - 2009 - Hydrologie 2, une science pour l'ingénieur (https://beluga.univ-grenoble-alpes.fr/permalink/33UGRENOBLE_INST/1vb34gl/alma991005778829706161)
Date of update February 8, 2017