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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Detalles Bibliográficos
Autores principales: Wang, Qingxin, Zeng, Qiaolin, Tao, Jinhua, Sun, Lin, Zhang, Liang, Gu, Tianyu, Wang, Zifeng, Chen, Liangfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427133/
https://www.ncbi.nlm.nih.gov/pubmed/30857313
http://dx.doi.org/10.3390/s19051207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427133/
https://www.ncbi.nlm.nih.gov/pubmed/30857313
http://dx.doi.org/10.3390/s19051207

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