EGU23-4795
https://doi.org/10.5194/egusphere-egu23-4795
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Numerical Study on Estimation of the Trees’ Effects on the Distributions of Fine Particles (PM2.5) in an Urban area

Sang Cheol Han1, Alejandra González-Pérez1, Jung-Eun Kang1, Geon Kang2, and Jae-Jin Kim1
Sang Cheol Han et al.
  • 1Division of Earth Envirionmental System Science, Pukyong National University, Busan, Republic of Korea (sangcheol@pukyong.ac.kr)
  • 2Supercomputer Center, Pukyong National University, Busan, Republic of Korea (kg85112@pukyong.ac.kr)

In this study, we investigated the effects of trees planted in an urban area on PM2.5 reduction using a computational fluid dynamics (CFD) model. For realistic numerical simulations, the Local Data Assimilation and Prediction System (LDAPS) operated by the Korea Meteorological Administration was used to provide the initial and boundary conditions to the CFD model. The CFD model was validated against the PM2.5 concentrations measured by the sensor networks in the area. We conducted the numerical simulations for three configurations of the trees: 1) no tree (NT) case, 2) a case considering only trees’ drag effect (TD), and 3) a case considering trees’ drag and dry deposition effects (DD). Comparison of the average concentrations showed that the trees in the area reduced the PM2.5 concentrations during the simulation period. The results showed that trees’ dry deposition can offset the concentration increase caused by trees’ drag effect and, resultantly reduce the PM2.5 concentrations in the tree-plated area.

How to cite: Han, S. C., González-Pérez, A., Kang, J.-E., Kang, G., and Kim, J.-J.: A Numerical Study on Estimation of the Trees’ Effects on the Distributions of Fine Particles (PM2.5) in an Urban area, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4795, https://doi.org/10.5194/egusphere-egu23-4795, 2023.