Yulin Qi

PMF Coupled With Random Forest Method Reveals Detailed PM 2.5 Sources and Their Synergistic Effects on Air Pollution Control

Abstract Understanding the sources of emerging PM 2.5 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 PM 2.5 source identification...