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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
AIR POLLUTION MODELLING CEM 522 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi YASEMİN DAMAR ARİFOĞLU
Dersi Verenler Doç.Dr. HÜLYA KARABAŞ
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Modeling of dispersion and deposition of air pollutants
Dersin İçeriği
Modeling of advection, dispersion and deposition of air pollutants by using mathematical methods.

Differential equations and their solutions, Air pollution and pollutants, Pollutant advection, dispersion and deposition, Modelling (Box, Gaussian, Eulerian, and Lagrangian) methods, Applications and model tuning.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Enhancing higher level environmental engineering knowledge of the students 1 - 3 - 8 - 10 - A - C -
2 - Enhancing the skills on numerical solution of differential equations 1 - 4 - 8 - A - C -
3 - Enhancing the knowledge on the basic definition of air pollution modeling 1 - 2 - 3 - 8 - A - C -
4 - Teaching air pollution modeling techniques 1 - 2 - 3 - 10 - A - C -
5 - Teaching the uncertainties in modeling 1 - 2 - 10 - A - C -
6 - 1 - 2 - 3 - A - C -
Öğretim Yöntemleri: 1:Lecture 3:Discussion 8:Group Study 10:Brain Storming 4:Drilland Practice 2:Question-Answer
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to modeling
2 Differential equations and their solutions
3 Air Pollution and the pollutants
4 Primary air pollutants (advection, dispersion, and deposition)
5 Secondary air pollutants
6 Modeling in general
7 Box modeling
8 Gaussian Modeling, point sources
9 Gaussian Modeling, line sources
10 Eulerian and Lagrangian modeling
11 Modeling applications
12 Modeling applications
13 Modeling applications
14 Model tuning

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Deal skills with evaluation, construction and application of the data’s by reconnoitering at engineering area. X
2 Deal skills with evaluation, construction and application of the data’s by reconnoitering at engineering area. X
3 Deal skills with completion and application of the data’s with scientific methods that using limited or scarce parameters and deal skills with integration of various disciplinary data’s.
4 Deal skills with completion and application of the data’s with scientific methods that using limited or scarce parameters and deal skills with integration of various disciplinary data’s. X
5 Deal skills with editing engineering problems, improving methodology and exercising of innovative methods at solutions. X
6 Deal skills with editing engineering problems, improving methodology and exercising of innovative methods at solutions. X
7 Deal skills with improving innovative and original methods; improving innovative solutions at system, component or process designing.
8 Deal skills with improving innovative and original methods; improving innovative solutions at system, component or process designing. X
9 Deal skills with comprehensive knowledge concerning with modern techniques, methods and limits applying at engineering. X
10 Deal skills with comprehensive knowledge concerning with modern techniques, methods and limits applying at engineering.
11 Deal skills with contemplation and application of analytical, modeling and experimental researches; deal skills with to analyze and to comment the complex situations encountered at this process. X
12 Deal skills with contemplation and application of analytical, modeling and experimental researches; deal skills with to analyze and to comment the complex situations encountered at this process. X
13 Deal skills with to characterize the requirement knowledge / data and to access and evaluate this knowledge’s. X
14 Deal skills with to characterize the requirement knowledge / data and to access and evaluate this knowledge’s. X
15 Deal skills with leading to multidisciplinary groups and improving solutions at complex situations.
16 Deal skills with leading to multidisciplinary groups and improving solutions at complex situations. X
17 Deal skills with to convey the process and results of the researches systematically and unequivocally in writing and by parol at national and international areas. X
18 Deal skills with to convey the process and results of the researches systematically and unequivocally in writing and by parol at national and international areas. X
19 Deal skills with to consider the social, scientific and ethic values at data collection, comment and announced phases and other all vocational activities.
20 Deal skills with to consider the social, scientific and ethic values at data collection, comment and announced phases and other all vocational activities. X
21 Deal skills with awareness at new and developing applications of business and deal skills with analyzing and learning of these applications. X
22 Deal skills with awareness at new and developing applications of business and deal skills with analyzing and learning of these applications. X
23 Deal skills with to apprehend the social and environmental dimensions of engineering applications and deal skills with to accord to social environment.
24 Deal skills with to apprehend the social and environmental dimensions of engineering applications and deal skills with to accord to social environment. X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 20
Odev 1 20
Odev 2 20
Odev 3 20
PerformansGoreviSeminer 1 20
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 20 20
Quiz 1 20 20
Performance Task (Laboratory) 1 25 25
Toplam İş Yükü 161
Toplam İş Yükü /25(s) 6.44
Dersin AKTS Kredisi 6.44
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