Duration
24h Th, 20h Pr
Number of credits
| Master in environmental science and management (120 ECTS) | 4 crédits | |||
| Master in environmental science and management (120 ECTS) (Renewable energy and sustainable buildings - Joint-degree programme with the University of Luxembourg) | 4 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The theoretical notions of atmospheric dispersion modelling are presented in lectures and accompanied by practical exercises.
Theory (18h)
- Intro of concepts
- Atmospheric stability
- The Eulerian model - Chimera
- The Lagrangian model - Bi-Gaussian and ADMS
- The Lagrangian model - Atmostreet and GRAAL
Practice (14h)
- QGIS
- ADMS - example smell
- Atmostreet
- Graal
- ADMS example odour suite
Data processing for air quality (12h)
- Reminder of statistics and use of R-Studio
- Metric
- Machine Learning and Air Quality
- Statistical Model - PMF
Learning outcomes of the learning unit
The student will have the basic knowledge necessary for the understanding of atmospheric dispersion and the working knowledge of the simple operation of different categories of dispersion models. He/she will be able to use these models for the applications seen in the course and to represent the results of the models in QGIS software.
He/she will have acquired the necessary skills to correctly interpret the results of the modelling.
Prerequisite knowledge and skills
Bachelor degree including a course of basic chemistry.
fundamentals in science (biology, chemistry, physics, mathematics-statistic-)
Pre-requis
Course ENVT0893 - Air Quality Pressure-State-Response
Planned learning activities and teaching methods
ectures
Practical use of software during courses and homeworks
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
This course is organised by 4 teachers
Recommended or required readings
lecture notes and documentation on e-campus
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Written work / report
Continuous assessment
Additional information:
Written exam in two parts:
theory
practical exercises (use of models, data processing).
Homework is considered in the assessment.
The duration of the exam is 04h. It will be in two parts: theoretical and practical
The final cote will be an average of theory and practice (i.e. [x/20+y/20]/2)
Theory: duration 01h30, book closed, neither computer nor gsm.
You will have a maximum of 4 theoretical questions on the following subject:
- The different types of model seen in session
- Machine Learning
- Chimera
- Atmospheric stability
Break (you can leave the exam room for 10 minutes)
Practical: duration 02h30, open book, with computer
Make sure that the software installed on your computer works correctly (e.g. R and QGIS). In case files are sent to you, test them before the exam.
You will have exercises related to:
- Digital discretization
- The use and results of Austal:
- The use and results of Atmostreet
- The use and results of ADMS
We will be present during the exam to answer any "bugs" of your computer
The details of the modalities and evaluation criteria are presented during the first courses.
If the final score is equal to or greater than 10, the teaching unit is successful.
If the final score is less than 10, the teaching unit fails. In this case, all subjects must be represented in the written examination. Report notes are retained if they are equal to or greater than 10.
The written exam is held on the same day for all subjects.
Exits the exam room is only allowed after 02 hours of examination.
The exam room will no longer be accessible to students beyond exam time (to the minute!).
Mobile phones and personal belongings are not allowed and must be entrusted to the supervisor.
Work placement(s)
Organisational remarks and main changes to the course
having a computer to attend the course
Contacts
ULiège/DPT Sciences et Gestion de l'environnement/ Equipe SAM/ Labo air - odeur
AC ROMAIN : acromain@uliege.be
C FALZONE : cfalzone@uliege.be
ISSeP, Liège https://www.issep.be/
Fabian LENARTZ : f.lenartz@issep.be
Marie DURY : m.dury@issep.be