An Investigation on the use of air quality models in ship emission forecasts
Abstract
Keywords
References
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Details
Primary Language
English
Subjects
Marine Transportation
Journal Section
Research Article
Authors
Gizem Kodak
*
0000-0002-1845-7901
Kuzey Kıbrıs Türk Cumhuriyeti
Early Pub Date
March 22, 2024
Publication Date
March 25, 2024
Submission Date
January 25, 2024
Acceptance Date
February 16, 2024
Published in Issue
Year 2024 Volume: 7 Number: 1
Cited By
Kalkış safhasında uçak motorlarından kaynaklanan görsel duman yoğunluğunun yapay sinir ağları ile tahmin edilmesi
Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi
https://doi.org/10.51513/jitsa.1692078