4.00 credits
22.5 h + 22.5 h
Q1
Teacher(s)
Jonard François; Vanclooster Marnik (coordinator);
Language
French
Prerequisites
Probability and statistics
Basic modelling course. Basic computer programming course.
Basic modelling course. Basic computer programming course.
Main themes
The main objective of the course is to train students in the understanding of the challenges and the use of advanced methodologies for integrated water resources management.
The topics that are covered are :
- Concepts and challenges of integrated water resources management at different scales (local scale, watershed, country, region, international river basin, global).
- Strategic, political and institutional aspects of integrated management of water resources. Introduction in current water policies (eg water policy for sustainable development).
- Analytical tools for water management. Modelling of water resources systems (watersheds, reservoirs, perimeter, groundwater body) including technical, economic and social aspects. Analysis,planning, optimization and evaluation of water systems
The topics that are covered are :
- Concepts and challenges of integrated water resources management at different scales (local scale, watershed, country, region, international river basin, global).
- Strategic, political and institutional aspects of integrated management of water resources. Introduction in current water policies (eg water policy for sustainable development).
- Analytical tools for water management. Modelling of water resources systems (watersheds, reservoirs, perimeter, groundwater body) including technical, economic and social aspects. Analysis,planning, optimization and evaluation of water systems
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | a. Contribution de l'activité au référentiel AA (AA du programme) M2.2 ; M2.3 ; M2.4 ; M2.5 b. Formulation spécifique pour cette activité des AA du programme (maximum 10) After the course, students should be able: - to explain the concept of integrated water resources management (IWRM); - to explain the political, institutional , legal and policy issues associated with integrated water resources management; - to develop policies, strategies and programs for sustainable development of water resources; - to illustrate the international cooperation programs in the field of IWRM in international river basins (eg the Mekong, the Nile ... ); - to model a hydro- system, while considering the random nature of the flow ; - to apply optimization methods ( dynamic programming, Lagrangian multipliers, linear programming, ... ) in simple IWRM planning problems; - to compare the performance of a hydro- system with multiple criteria and objectives formulated by different actors; - to develop a methodology to implement policies, strategies and IWRM programs. |
Content
Climate change is primarily impacting water resources and the various functions associated with them. The paradigm of Integrated Water Resources Management (IWRM) is proposed to adapt watersheds to the challenges of climate change. In this course, the student will be initiated into the different aspects of IWRM.
Part I: Issues, Strategic, Policy, and Institutional Aspects
Part I: Issues, Strategic, Policy, and Institutional Aspects
- State of freshwater resources at the global and regional scales
- State of current uses and future needs for freshwater at the global and regional levels
- State of water infrastructure and investment needs
- Issues and challenges of the 21st century
- Principles of Integrated Water Resources Management (IWRM)
- Institutional, political, and legal framework for water management
- Elaboration of strategies and programs for the management and development of water resources
- International cooperation for water management. Examples of cooperation for water resources management: Mekong River / Nile River
- Aspects of Hydro system Modelling
- Hydroinformatics and management. Contributions of remote sensing.
- Programming, planning, and optimization methods. Lagrangian multipliers. Linear programming. Dynamic programming.
- Stochastic aspects. Uncertainty and sensitivity analysis. Water risk analysis.
- Performance analysis. Multi-criteria and integrated water resources analysis.
Teaching methods
Lectures:
Due to the limited capacity of the auditoriums (COVID-19 crisis), some courses can be given remotely.
- Classic lecture for part I
- Inverse class for Part II. On the course website (Moodle), students have access to a syllabus, videos explaining the theoretical foundations and Python notebooks to illustrate certain aspects. Face-to-face classes allow students to answer questions and go into greater depth on the subject.
Due to the limited capacity of the auditoriums (COVID-19 crisis), some courses can be given remotely.
Evaluation methods
Theory: Oral examination with written preparation.
Exercices: An assignment is transmitted to the students before the opening of the examination session. The student prepares a reply to the question and defend in an oral examintion. This exercice is evaluated by the assistant of the course.
Exercices: An assignment is transmitted to the students before the opening of the examination session. The student prepares a reply to the question and defend in an oral examintion. This exercice is evaluated by the assistant of the course.
Other information
This course can be given in English.
Online resources
Moodle
- Cop of the presentations
- Video capsules
- Exercises (Python Notebooks)
- Assignments for the practical work
- Link to reference work (https://link.springer.com/book/10.1007/978-3-319-44234-1)
Bibliography
D. Loucks and E. Van Beek: Water Resources System Planning and Management: An introduction to methods, models and applications. UNESCO, 2005.
Faculty or entity
AGRO
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Civil Engineering
Master [120] in Forests and Natural Areas Engineering
Master [120] in Environmental Bioengineering
Master [120] in Agriculture and Bio-industries
Master [120] in Agricultural Bioengineering