An Investigation on the use of air quality models in ship emission forecasts
Öz
Anahtar Kelimeler
Kaynakça
- 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.
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
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