Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 20
Articles | Volume 22, issue 20
https://doi.org/10.5194/acp-22-13881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-22-13881-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 20
Research article
 | 
28 Oct 2022
Research article |  | 28 Oct 2022

Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model

Tianqi Shi, Zeyu Han, Ge Han, Xin Ma, Huilin Chen, Truls Andersen, Huiqin Mao, Cuihong Chen, Haowei Zhang, and Wei Gong

Viewed

Total article views: 3,471 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,550 834 87 3,471 212 80 98
  • HTML: 2,550
  • PDF: 834
  • XML: 87
  • Total: 3,471
  • Supplement: 212
  • BibTeX: 80
  • EndNote: 98
Views and downloads (calculated since 07 Jun 2022)
Cumulative views and downloads (calculated since 07 Jun 2022)

Viewed (geographical distribution)

Total article views: 3,471 (including HTML, PDF, and XML) Thereof 3,471 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
Short summary
CH4 works as the second-most important greenhouse gas, its reported emission inventories being far less than CO2. In this study, we developed a self-adjusted model to estimate the CH4 emission rate from strong point sources by the UAV-based AirCore system. This model would reduce the uncertainty in CH4 emission rate quantification accrued by errors in measurements of wind and concentration. Actual measurements on Pniówek coal demonstrate the high accuracy and stability of our developed model.
Read more
Share
Special issue
CoMet: a mission to improve our understanding and to better...
Altmetrics
Final-revised paper
Preprint