2022-2023 / ENVT0902-1

Modelling atmospheric dispersion

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

Marie Dury, Fabian Lenartz, Anne-Claude Romain

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Theoretical concepts of atmospheric dispersion modelling are presented in a lecture :

Table of contents :

  • Introduction of modelling concepts
Deterministic and statistical ;

Spatial and temporal scales

Eulerian and Lagrangian

  • Stability of the atmosphere
  • Bi-Gaussian model
Theoretical notions are applied through the practical use of different dispersion software:

  • ADMS (course exercises and homework)
  • PMF (exercises during the course)
  • Machine learning applied to modelling
  • Atmostreet
  • Austal and Graal
The link between model output and geographic representation is exposed with QGIS.

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)

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:

 

 

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 examination on theory, model results and practical application.


Homework is considered in the assessment.

 

Details of the assessment procedures and criteria are presented in the first lectures.

 

Work placement(s)

Organizational remarks

having a computer to attend the course

 

Contacts

acromain@uliege.be

 

Association of one or more MOOCs