An Investigation on the use of air quality models in ship emission forecasts
Abstract
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.
Publisher
Bandirma Onyedi Eylul University
Reference55 articles.
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.
|
|