Teacher(s)
Language
French
Content
Part 1: Principles of environmental modeling.
- What is a model: definition and modeling of a system, the definition of a model, scientific modeling stage.
- Environmental models: typology of models, characteristics associated with models (spatial and temporal resolution, etc).
- Calibration and validation of models, sensitivity analysis, uncertainties.
- Ex-ante and ex-post simulation.
- Optimisation.
Part 2: Application of modeling to water management and food production.
- Yield prediction model based on water availability (e.g. AquaCrop)
- Water allocation model (e.g. WEAP)
For both types of models, the student will be required to:
- Understand the structure of the model and its limitations.
- Parameterise the models using generic data (climate databases, remote sensing, etc.).
- Use the model to carry out ex-ante simulations, applied to a context of southern countries, taking into account different possible evolution scenarios (climate, population, food demand).
Part 3: Decision-making in complex problems.
- Multi-criteria analysis methods.
- Application to modelling results.
- What is a model: definition and modeling of a system, the definition of a model, scientific modeling stage.
- Environmental models: typology of models, characteristics associated with models (spatial and temporal resolution, etc).
- Calibration and validation of models, sensitivity analysis, uncertainties.
- Ex-ante and ex-post simulation.
- Optimisation.
Part 2: Application of modeling to water management and food production.
- Yield prediction model based on water availability (e.g. AquaCrop)
- Water allocation model (e.g. WEAP)
For both types of models, the student will be required to:
- Understand the structure of the model and its limitations.
- Parameterise the models using generic data (climate databases, remote sensing, etc.).
- Use the model to carry out ex-ante simulations, applied to a context of southern countries, taking into account different possible evolution scenarios (climate, population, food demand).
Part 3: Decision-making in complex problems.
- Multi-criteria analysis methods.
- Application to modelling results.
Teaching methods
Theoretical course: lectures in the auditorium, supported by video clips.
Exercise part: Exercises in the computer room, using open source software (Python, GEE, QGIS-SWAT, WEAP, AquaCrop ...)
Exercise part: Exercises in the computer room, using open source software (Python, GEE, QGIS-SWAT, WEAP, AquaCrop ...)
Evaluation methods
The students implement a mini-project related to their home watershed
Online resources
- Presentations on Moodle platform
- Manual of reference software
- Manual of reference software
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Advanced Master in Water-Energy-Food Nexus
