Articles | Volume 23, issue 19
https://doi.org/10.5194/acp-23-12907-2023
https://doi.org/10.5194/acp-23-12907-2023
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

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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.
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