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Estimating PM(2.5) Concentrations Based on MODIS AOD and NAQPMS Data over Beijing–Tianjin–Hebei
Accurately estimating fine ambient particulate matter (PM(2.5)) is important to assess air quality and to support epidemiological studies. To analyze the spatiotemporal variation of PM(2.5) concentrations, previous studies used different methodologies, such as statistical models or neural networks,...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6427133/ https://ncbi.nlm.nih.gov/pubmed/30857313 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19051207 |
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