EGU23-5408, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-5408
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Investigation of air emissions’ characteristics in the southeast part of Korea to create modeling emission inventories for PM2.5 predictions

Hyeon-Kook Kim1, Yeri Kang2, and Chang-Keun Song3
Hyeon-Kook Kim et al.
  • 1Ulsan National Institute of Science and Technology (UNIST), Department of Urban and Environmental Engineering, Ulsan, Korea, Republic of (hyeonkook@unist.ac.kr)
  • 2Ulsan National Institute of Science and Technology (UNIST), Department of Urban and Environmental Engineering, Ulsan, Korea, Republic of (kang3785@unist.ac.kr)
  • 3Ulsan National Institute of Science and Technology (UNIST), Department of Urban and Environmental Engineering, Ulsan, Korea, Republic of (cksong@unist.ac.kr)

Reliable results for the fine particulate matter (PM2.5) predictions are very useful for air policy establishment to reduce air pollution and adverse health effects caused by PM2.5. To this end, it is necessary to establish reliable emission input data for air quality models based on air pollutants' emission inventory data. In this study, we examine the characteristics of major air pollutants emitted from various emission sources in the southeast region in Korea, one of the four regions being recognized as the air pollution is serious, using a gathered information on recent 10-year's air emissions. In addition, we search the points to be carefully considered for the development of the detailed modeling emission inventory necessary for the reliable predictions of PM2.5 in the Southeast region.

 

Acknowledgements

This research was supported by the FRIEND (Fine Particle Research Initiative in East Asia Considering National Differences) Project through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (Grant No.: 2020M3G1A1114615).

Correspondence to: Chang-Keun Song (cksong@unist.ac.kr)

How to cite: Kim, H.-K., Kang, Y., and Song, C.-K.: Investigation of air emissions’ characteristics in the southeast part of Korea to create modeling emission inventories for PM2.5 predictions, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5408, https://doi.org/10.5194/egusphere-egu23-5408, 2023.