COURSE UNIT TITLE

: AIR QUALITY MODELING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ÇEV 4720 AIR QUALITY MODELING ELECTIVE 2 0 0 2

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR TOLGA ELBIR

Offered to

Environmental Engineering

Course Objective

The aim of this course is to give the students basic information about the transport and dispersion mechanisms of air pollutants in the atmosphere. Through the course, students will specialize in the field of air quality modeling. The objectives of this course are that students should have the basic knowledge to run an air quality dispersion model, have a detailed knowledge of a Gaussian model that is widely used in this field, progress in computer programming and algorithm development skills by using the model practically, and have sufficient knowledge in air quality impact studies.

Learning Outcomes of the Course Unit

1   Having enough knowledge for running of an air quality model
2   Improving the ability to develop algorithms for the solution of regional air quality problems
3   Having background for air quality studies

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Air Quality Dispersion Modeling and Basic Concepts
2 Variety of Air Quality Models and Working Principles
3 Principles of Gaussian Dispersion
4 Introduction of a Gaussian Dispersion Model (AERMOD), Data Structure and Data Preparation for the Model
5 Introduction of a Gaussian Dispersion Model (AERMOD), Data Structure and Data Preparation for the Model
6 Introduction of a Gaussian Dispersion Model (AERMOD), Data Structure and Data Preparation for the Model
7 Introduction of a Gaussian Dispersion Model (AERMOD), Data Structure and Data Preparation for the Model
8 Application by the lecturer
9 Applications by students (including point, area and line sources and gaseous and particle air pollutants)
10 Applications by students (including point, area and line sources and gaseous and particle air pollutants)
11 Applications by students (including point, area and line sources and gaseous and particle air pollutants)
12 Applications by students (including point, area and line sources and gaseous and particle air pollutants)
13 Applications by students (including point, area and line sources and gaseous and particle air pollutants)
14 Submission and presentation of midterm projects prepared by students

Recomended or Required Reading

Zannetti, P., 2011. Air quality modeling: Theories, Methodologies, Computational Techniques and Available Databases and Software, Air & Waste Management Association.

Planned Learning Activities and Teaching Methods

Within the scope of the course; air quality modeling applications will be made by mainly modeling the transport and dispersion of pollutants emitted to the atmosphere from air pollutant sources and determining their contribution to the ambient air quality. After the theoretical information of the subjects are given, they will be applied practically on the computer.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.20 + ASG * 0.30 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + ASG * 0.30 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

course + exercise

Language of Instruction

Turkish

Course Policies and Rules

-

Contact Details for the Lecturer(s)

Prof.Dr. Tolga Elbir
Department of Environmental Engineering
Dokuz Eylul University, Faculty of Engineering
Tinaztepe Campus, 35160, Buca-Izmir/TURKEY
Tel. 90-232-301 7133
e-mail: tolga.elbir@deu.edu.tr

Office Hours

Friday 1-2-3-4

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 6 1,5 12
Tutorials 7 1,5 14
Preparing assignments 1 5 5
Preparation for final exam 1 5 5
Preparation for midterm exam 1 5 5
Practical exam 1 10 10
Midterm 1 1,5 2
Final 1 1,5 2
TOTAL WORKLOAD (hours) 55

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14454
LO.23345344
LO.34445354

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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