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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| Accès en ligne: | https://arxiv.org/abs/2411.13315 |
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| _version_ | 1866909397341437952 |
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| author | Chen, Shu-Chuan Chang, Jui-Fang Shih, Yintzer |
| author_facet | Chen, Shu-Chuan Chang, Jui-Fang Shih, Yintzer |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_13315 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Leveraging NMF to Investigate Air Quality in Central Taiwan Chen, Shu-Chuan Chang, Jui-Fang Shih, Yintzer Numerical Analysis 5F55 5F55 65F55 G.1.10 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. |
| title | Leveraging NMF to Investigate Air Quality in Central Taiwan |
| topic | Numerical Analysis 5F55 5F55 65F55 G.1.10 |
| url | https://arxiv.org/abs/2411.13315 |