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Number of hours
Lectures : 28.0
Tutorials : 14.0
Laboratory works : 18.0
Projects : -
Internship : -
ECTS : 5.0
Officials :Isabella TOMASINO
To learn the principles of data analysis and data screening in hydrology. To 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. To master the necessary steps to reproduce the hydrological behaviour of a natural or urbanized watershed by choosing the most appropriate tools.
This module is made of four components: 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)
Specific credits: this course brings 6.0 ECTS to students in Semester S7 - M1 HCE
3 hrs written examination (50%) + project-based learning assignments and tutorials deepening (BE) (50%)