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Sep 2026

PMF Coupled With Random Forest Method Reveals Detailed PM2.5 Sources and Their Synergistic Effects on Air Pollution Control

Understanding the sources of emerging PM2.5 pollution is crucial for developing effective air quality management strategies. This study combines positive matrix factorization (PMF) with random forest (RF) classification to reveal a detailed PM2.5 source identification for both day and night samples collected in Tianjin...

Jing-Ying Ma, Yu-Lin Qi, Han Xu et al. · 0 citations
Oct 2026

Development and Diagnosis of a Temporal-Context U-Net Deep Learning Surrogate Model for CMAQ Particulate Nitrate over China

Nitrate is a major inorganic component of fine particulate matter, yet simulating it via chemical transport models (CTMs) is computationally intensive. Deep learning surrogates have emerged as efficient tools for approximating CTMs. Here, we developed a Temporal-Context U-Net (TC-U-Net) model to emulate hourly surfac...

Qi-Yuan Yang, Dong-Heng Zhao, Tong Ma et al. · 0 citations

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