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Development of Phase and Seasonally Dependent Land-Use Regression Models to Predict Atmospheric PAH Levels
Polycyclic aromatic hydrocarbons (PAHs) are an important class of pollutants in China. The land use regression (LUR) model has been used to predict the selected PAH concentrations and screen the key influencing factors. However, most previous studies have focused on particle-associated PAHs, and res...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145409/ https://www.ncbi.nlm.nih.gov/pubmed/37112543 http://dx.doi.org/10.3390/toxics11040316 |