Back-trajectory analyses for evaluating the transboundary transport effect to the aerosol pollution in South Korea
- Authors
- Koo, Ja-Ho; Lee, Donghee; Bae, Hyejin; Lee, Taegyung; Na, Seong Gyun; Yeh, Sang-Wook; Park, Jinsoo; Yeo, Minju
- Issue Date
- Jun-2024
- Publisher
- Elsevier Ltd
- Keywords
- HYSPLIT; Korean peninsula; Long-range transport; PM<sub>2.5</sub>; Yellow sea
- Citation
- Environmental Pollution, v.351, pp 1 - 9
- Pages
- 9
- Indexed
- SCIE
SCOPUS
- Journal Title
- Environmental Pollution
- Volume
- 351
- Start Page
- 1
- End Page
- 9
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119006
- DOI
- 10.1016/j.envpol.2024.124031
- ISSN
- 0269-7491
1873-6424
- Abstract
- This study performed a back-trajectory analysis to determine the influence of transboundary transport on the extent of aerosol pollution in South Korea, based on 5-year PM2.5 measurements (2015–2019) in five cities covering South Korea. A transboundary transport case was selected if a back trajectory passed over a dedicated region (BOX 1 and BOX 2) in the Yellow Sea. First, we found that the frequency of transboundary transport largely increases in the high pollution case, and this pattern is almost consistent for all months and all five cities, indicating the importance of investigating the horizontal direction of air mass movement associated with PM2.5, which has been discussed extensively in previous studies. In this study, we also examined the altitude change and straight moving distance (defined as travel distance) of back trajectories regarding the extent of local PM2.5. Consequently, we found that back trajectories in high aerosol pollution showed much lower altitudes and shorter travel differences, implying a significant contribution of surface emissions and stagnant air conditions to severe aerosol pollution. As a result, the local PM2.5 level was not significantly enhanced when the air mass passed over the Yellow Sea if transboundary transport occurred at high altitudes with rapid movement (i.e., high altitude and long travel distance back-trajectory). Based on these results, we suggest utilizing the combined information of the horizontal direction, altitude variation, and length of back trajectories to better evaluate transboundary transport. © 2024 Elsevier Ltd
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