Modeling urban pollutant transport at multiple resolutions: impacts of turbulent mixing
<p>Air pollution in cities impacts public health and climate. Turbulent mixing is crucial in pollutant formation and dissipation, yet current atmospheric models struggle to accurately represent it. Turbulent mixing intensity varies with model resolution, which has rarely been analyzed. To inve...
Saved in:
| Main Authors: | Z. Yang, Q. Du, Q. Yang, C. Zhao, G. Li, Z. Xia, M. Xu, R. Yuan, Y. Li, K. Xia, J. Gu, J. Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
|
| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/25/8831/2025/acp-25-8831-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm
by: Z. Xia, et al.
Published: (2025-06-01) -
The Polarization Signatures of the Inverse Cascade in Magnetic Turbulence
by: X. W. Zhu, et al.
Published: (2025-01-01) -
A robust data-driven approach for modeling turbulent transport
by: R. Varennes, et al.
Published: (2025-01-01) -
High-resolution pollutant emission monitoring of turbulent combustion using the photoacoustic technique
by: Viktor Józsa, et al.
Published: (2024-12-01) -
Variability of turbulent mixing observed by high-resolution Acoustic Doppler Current Profilers in the deep South China Sea
by: Hao Xun, et al.
Published: (2025-08-01)