Atmospheric Diffusion and Dispersion

Course Information
TitleΑΤΜΟΣΦΑΙΡΙΚΗ ΔΙΑΧΥΣΗ ΚΑΙ ΔΙΑΣΠΟΡΑ / Atmospheric Diffusion and Dispersion
CodeΑΠΕ102
FacultySciences
SchoolPhysics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorCharikleia Meleti
CommonNo
StatusActive
Course ID40003075

Programme of Study: UPS of School of Physics (2012-today)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
CoreSpecial Election844

Class Information
Academic Year2017 – 2018
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600100187
Type of the Course
  • Scientific Area
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
After successfully completing the course the students have a deeper knowledge on physical and chemical processes of dispersion of pollutants in the atmosphere as well as their removal mechanisms. The students also acquire theoretical background on the use of air quality models and they apply this knowledge on Gauss plume models
General Competences
  • Apply knowledge in practice
  • Work autonomously
  • Respect natural environment
Course Content (Syllabus)
• Air pollution and principles of air quality management. Air Quality Indices. • Atmospheric dispersion: Processes and factors affecting. The atmospheric dispersion cycle. Units of atmospheric pollutant concentration. Exercises. • Atmospheric pollutants: Classification – Properties – Sources – Effects. Particulate matter. Exercises. • Spatial and temporal scales of dispersion. Atmospheric dispersion models I: Basic definitions - Fields of applications - Types - Classification. • Atmospheric dispersion models II: Structure - Lagrangian and Eulerian approach. Examples of simple models application. • Turbulent diffusion – Theoretical treatments of the turbulent diffusion with emphasis on gradient transfer theory. Exercises. • Gaussian plume modelling I: Gaussian distribution - Assumptions – Gaussian plume equation - Pasquil Stability class -Determination of the standard deviations of the concentration distribution – Accuracy of estimates. • Gaussian plume modelling II: Expanded Gaussian plume equations for point stack. Equations for specific situations. Nomogram for determination of distance to ground level maximum and maximum concentration. Exercises. • Practical assignment: Demonstration of the Gaussian plume model RAM (theory and use). Application of the RAM model to calculate the dispersion from industrial stacks. Evaluation of the results. • Variation of wind speed with height. Effective height of emission. Buildings and stack effects on the atmospheric dispersion. Exercises. • Plume rise: Buoyant and momentum rise. Final rise for unstable-neutral and stable conditions. Gradual rise. • Atmospheric removal processes: Chemical transformations - Gravitational particle sedimentation - Dry deposition – Wet deposition. Exercises.
Educational Material Types
  • Notes
  • Book
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures872.9
Written assigments301
Exams30.1
Total1204
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
ΠΗΓΕΣ, ΔΙΑΣΠΟΡΑ ΚΑΙ ΕΛΕΓΧΟΣ ΑΤΜΟΣΦΑΙΡΙΚΗΣ ΡΥΠΑΝΣΗΣ, Γ. ΜΠΕΡΓΕΛΕΣ, ΠΑΝ. ΕΚΔ. ΕΜΠ ΑΝΑΛΥΣΗ ΕΠΙΚΙΝΔΥΝΟΤΗΤΑΣ, Μ. I. ΑΣΣΑΕΛ, Κ. Ε. ΚΑΚΟΣΙΜΟΣ,ΤΖΙΟΛΑ
Last Update
30-06-2016