Analysis of Global and Key PM<sub>2.5</sub> Dynamic Mode Decomposition Based on the Koopman Method
Understanding the spatiotemporal dynamics of atmospheric PM<sub>2.5</sub> concentration is highly challenging due to its evolution processes have complex and nonlinear patterns. Traditional mode decomposition methods struggle to accurately capture the mode features of PM<sub>2.5<...
Saved in:
| Main Authors: | Yuhan Yu, Dantong Liu, Bin Wang, Feng Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/15/9/1091 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatiotemporal Characteristics and Influencing Factors of PM<sub>2.5</sub> Levels in Lianyungang: Insights from a Multidimensional Analysis
by: Xue Li, et al.
Published: (2024-11-01) -
Long-Term (2015–2024) Daily PM<sub>2.5</sub> Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition
by: Jiacheng Jiang, et al.
Published: (2025-05-01) -
The Characteristics of PM<sub>2.5</sub> and O<sub>3</sub> Synergistic Pollution in the Sichuan Basin Urban Agglomeration
by: Shaorong Li, et al.
Published: (2025-03-01) -
The Role of Epigenetic Mechanisms in the Development of PM<sub>2.5</sub>-Induced Cognitive Impairment
by: Lishan Jiang, et al.
Published: (2025-02-01) -
Polycyclic Aromatic Hydrocarbons in Atmospheric PM<sub>2.5</sub> and PM<sub>10</sub> of Riyadh City, Saudi Arabia: Levels, Temporal Variation, and Health Impacts
by: Hattan A. Alharbi, et al.
Published: (2025-05-01)