Araştırma Makalesi

An Investigation on the use of air quality models in ship emission forecasts

Cilt: 7 Sayı: 1 25 Mart 2024
PDF İndir
TR EN

An Investigation on the use of air quality models in ship emission forecasts

Öz

Today's world trade operates on the basis of maritime transportation. Combating the environmental impacts of maritime transportation has become a global concern. MARPOL Annex VI contains rules for the prevention of air pollution from ships. Air pollution represents a more abstract pollution than other annexes of MARPOL. In this context, the first and most critical step is to measure air pollution. Nowadays it is possible to calculate ship emissions with individual ship activity data instead of the traditional, fuel-based approach. One of the most ideal data sources for this calculation is AIS data. The critical question to be answered in the literature is how to obtain the highest resolution output using AIS data. Here air quality modelling gains strategic importance. In this study, air quality models used in ship emission calculations were examined with the PRISMA method and the most commonly used Eulerian and Lagrangian models were discussed. For this purpose, studies using AIS data in ship emission calculations were separated through the Scopus database and air quality modelling studies were filtered. Thus, the profile of air quality models used in ship-borne air pollution studies in the literature was obtained and a methodological reference source was created for future studies.

Anahtar Kelimeler

Kaynakça

  1. Brandt, J., Silver, J.D., Frohn, L.M., Geels, C., Gross, A., Hansen, A.B., Hansen, K.M., Hedegaard, G.B., Skjøth, C.A., Villadsen, H., Zare, A., Christensen, J.H. (2012), An integrated model study for Europe and North America using the Danish Eulerian Hemispheric Model with focus on intercontinental transport of air pollution, Atmospheric Environment, 53, 156-176.
  2. Byun, D., Schere, K.L. (2006), Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev., 59, 51-77.
  3. Chen, D., Fu, X., Guo, X., Lang, J., Zhou, Y., Li, Y., Wang, W. (2020), The impact of ship emissions on nitrogen and sulfur deposition in China, Science of the Total Environment, 708, 134636.
  4. Chen, D., Tian, X., Lang, J., Zhou, Y., Li, Y., Guo, X., Wang, W., Liu, B. (2019), The impact of ship emissions on PM2.5 and the deposition of nitrogen and sulfur in Yangtze River Delta, China, Science of the Total Environment, 649, 1609-1619.
  5. Chen, D., Wang, X., Li, Y., Lang, J., Zhou, Y., Gıo, X., Zhao, Y. (2017), High-spatiotemporal-resolution ship emission inventory of China based on AIS data in 2014, Science of the Total Environment, 609, 776-787.
  6. Chen, D., Wang, X., Nelson, P., Li, Y., Zhao, N., Lang, J., Zhou, Y., Guo, X. (2017), Ship emission inventory and its impact on the PM2.5 air pollution in Qingdao Port, North China, Atmospheric Environment, 166, 351-361.
  7. Chen, D., Zhang, Y., Lang, J., Zhau, Y., Li, Y., Guo, X., Wang, W., Liu, B. (2019), Evaluation of different control measures in 2014 to mitigate the impact of ship emissions on air quality in the Pearl River Delta, China, Atmospheric Environment, 216, 116911.
  8. Chen, D., Zhao, N., Lang, J., Zhou, Y., Wang, X., Li, Y., Zhao, Y., Guo, X. (2018), Contribution of ship emissions to the concentration of PM2.5: A comprehensive study using AIS data and WRF/Chem model in Bohai Rim Region, China, Science of the Total Environment, 610-611, 1476-1486.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Deniz Ulaşımı

Bölüm

Araştırma Makalesi

Yazarlar

Gizem Kodak *
0000-0002-1845-7901
Kuzey Kıbrıs Türk Cumhuriyeti

Erken Görünüm Tarihi

22 Mart 2024

Yayımlanma Tarihi

25 Mart 2024

Gönderilme Tarihi

25 Ocak 2024

Kabul Tarihi

16 Şubat 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 7 Sayı: 1

Kaynak Göster

APA
Kodak, G. (2024). An Investigation on the use of air quality models in ship emission forecasts. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 7(1), 15-30. https://doi.org/10.51513/jitsa.1425614
AMA
1.Kodak G. An Investigation on the use of air quality models in ship emission forecasts. Jitsa. 2024;7(1):15-30. doi:10.51513/jitsa.1425614
Chicago
Kodak, Gizem. 2024. “An Investigation on the use of air quality models in ship emission forecasts”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 7 (1): 15-30. https://doi.org/10.51513/jitsa.1425614.
EndNote
Kodak G (01 Mart 2024) An Investigation on the use of air quality models in ship emission forecasts. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 7 1 15–30.
IEEE
[1]G. Kodak, “An Investigation on the use of air quality models in ship emission forecasts”, Jitsa, c. 7, sy 1, ss. 15–30, Mar. 2024, doi: 10.51513/jitsa.1425614.
ISNAD
Kodak, Gizem. “An Investigation on the use of air quality models in ship emission forecasts”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 7/1 (01 Mart 2024): 15-30. https://doi.org/10.51513/jitsa.1425614.
JAMA
1.Kodak G. An Investigation on the use of air quality models in ship emission forecasts. Jitsa. 2024;7:15–30.
MLA
Kodak, Gizem. “An Investigation on the use of air quality models in ship emission forecasts”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, c. 7, sy 1, Mart 2024, ss. 15-30, doi:10.51513/jitsa.1425614.
Vancouver
1.Gizem Kodak. An Investigation on the use of air quality models in ship emission forecasts. Jitsa. 01 Mart 2024;7(1):15-30. doi:10.51513/jitsa.1425614

Cited By