Leveraging NMF to Investigate Air Quality in Central Taiwan

Shu-Chuan Chen; Jui-Fang Chang; Yintzer Shih

paper

Leveraging NMF to Investigate Air Quality in Central Taiwan

arXiv:2411.13315

Abstract

This study investigates air pollution in central Taiwan, focusing on key pollutants, including SO $_{2}$ , NO $_{2}$ , PM $_{10}$ , and PM $_{2.5}$ . We use non-negative matrix factorization (NMF) to reduce data dimensionality, followed by wind direction analysis and speed to trace pollution sources. Our findings indicate that PM $_{2.5}$ and NO $_{2}$ levels are primarily influenced by local sources, while SO $_{2}$ levels are more affected by transboundary factors. For PM $_{10}$ , contributions from domestic and transboundary sources are nearly equal.

25 pages, 29 figures