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Identifying a suitable model for predicting hourly pollutant concentrations by using low-cost microstation data and machine learning
Accurately predicting the concentration of PM(2.5) (fine particles with a diameter of 2.5 μm or less) is essential for health risk assessment and formulation of air pollution control strategies. At present, there is also a large amount of air pollution data. How to efficiently mine its hidden featur...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675857/ https://www.ncbi.nlm.nih.gov/pubmed/36402807 http://dx.doi.org/10.1038/s41598-022-24470-5 |