Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 23, issue 19
Articles | Volume 23, issue 19
https://doi.org/10.5194/acp-23-12907-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-12907-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 19
Research article
 | 
13 Oct 2023
Research article |  | 13 Oct 2023

Estimation of power plant SO2 emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs

Tianfeng Chai, Xinrong Ren, Fong Ngan, Mark Cohen, and Alice Crawford

Viewed

Total article views: 1,799 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,425 317 57 1,799 35 49
  • HTML: 1,425
  • PDF: 317
  • XML: 57
  • Total: 1,799
  • BibTeX: 35
  • EndNote: 49
Views and downloads (calculated since 13 Mar 2023)
Cumulative views and downloads (calculated since 13 Mar 2023)

Viewed (geographical distribution)

Total article views: 1,799 (including HTML, PDF, and XML) Thereof 1,772 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
The SO2 emissions of three power plants are estimated using aircraft observations and an ensemble of HYSPLIT dispersion simulations with different plume rise parameters. The emission estimates using the runs with the lowest root mean square errors (RMSEs) and the runs with the best correlation coefficients between the predicted and observed mixing ratios both agree well with the Continuous Emissions Monitoring Systems (CEMS) data. The RMSE-based plume rise appears to be more reasonable.
Read more
Altmetrics
Final-revised paper
Preprint