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Spatial and temporal variability of fine particle composition and source types in five cities of Connecticut and Massachusetts
To protect public health from PM(2.5) air pollution, it is critical to identify the source types of PM(2.5) mass and chemical components associated with higher risks of adverse health outcomes. Source apportionment modeling using Positive Matrix Factorization (PMF), was used to identify PM(2.5) sour...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3269973/ https://ncbi.nlm.nih.gov/pubmed/21429560 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.scitotenv.2011.02.025 |
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