COURSE UNIT TITLE

Offered By

Faculty of Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SADIK CAN GIRGIN

Offered to

Mining Engineering

Course Objective

The course aims to teach students how to make air quality predictions using air pollution-related data analysis and modeling techniques. They also improve their skills in visualizing, analyzing and presenting air quality data. It provides students with an awareness of understanding the effects of air pollution and developing solutions. It also encourages students to research and model the factors that cause air pollution and the impact of these factors. It is aimed for students to develop their skills in preparing emission inventories, creating air pollution maps and performing analyzes on these maps using real-world data sets.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Incecik, S. (1994). Hava Kirliliği. Istanbul Teknik Üniversitesi Matbaası, Gümüşsuyu, Istanbul.
Müezzinoğlu A., (2000). Hava Kirliliği ve Kontrolünün Esasları, Dokuz Eylül Yayınları, Izmir.
TÜBITAK, (1993). Hava Kirliliği Kaynakları ve Kontrolü, TÜBITAK MAM Kimya Mühendisliği Araştırma Bölümü, Gebze-Kocaeli.
Zannetti, P. (1990). Air Pollution Modeling:Theories, Computational Mechanics Publications, Southampton, UK.
Seinfeld, J.H.,1975. Air Pollution, Physical and Chemical Fundamentals, McGraw-Hill co NewYork
US EPA, 2004. User's Guide for the AMS/EPA Regulatory Model-AERMOD
Scire, J.S., Strimaitis, D.G., Yamartino, R.J., 2000. A User s Guide for the CALPUFF Dispersion Model. Earth Tech Inc., Concord, MA.
Skamarock, W. C., and et al. , 2008. A description of the Advanced Research WRF version 3. NCAR

Planned Learning Activities and Teaching Methods

Air pollution; It is defined as the presence of foreign substances in the form of solid, liquid and gas in the atmosphere at a concentration and duration that will harm human health, living life and ecological balance. Air pollution especially harms people who are vulnerable due to their age or existing health problems, and furthermore, it affects the quality of life of all living things. Air quality management strategies are important to minimize the harmful effects of air pollutants. Air quality management strategies generally consist of a series of processes including air quality monitoring, emission inventory preparation and control strategy design. Within the scope of the course, basic concepts of air quality management will be emphasized and emission inventory preparation techniques will be explained. Students are expected to prepare and present an assignment regarding the preparation of an emission inventory.
For appropriate air quality management plans, it is important to detect pollution from different sources and examine the effects of pollutants on the ambient air. Air quality models are mathematical models that aim to determine how pollutants released into the atmosphere from a source are distributed depending on atmospheric and topographic conditions and their reactions in the air. These models include determining the effects that a pollutant source may have on the environment, calculating the pollutant concentrations that will occur at ground level and restrictions to be placed on resources based on this data, such as determining chimney heights, shaping emission standards and treatment systems, planning emission restrictions in a region or city, making emergency plans. It forms the basis for all basic applications in air pollution control. Therefore, air quality modeling is of great importance. Today, air quality modeling studies using different modeling techniques are carried out in many countries. Within the scope of the course, all these techniques will be evaluated and the differences between them will be examined. Students are expected to choose one of the model techniques explained, apply this model for a work area and present it as homework.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Assignment, midterm exam, final exam

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes