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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,...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sensors (Basel) |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2019
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| Θέματα: | |
| Διαθέσιμο Online: | 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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