Spatiotemporal Distribution of Satellite-Retrieved Ground-Level PM2.5 and Near Real-Time Daily Retrieval Algorithm Development in Sichuan Basin, China

Spatiotemporal Distribution of Satellite-Retrieved Ground-Level PM2.5 and Near Real-Time Daily Retrieval Algorithm Development in Sichuan Basin, China

Satellite-based monitoring can retrieve ground-level PM2.5 concentrations with higher-resolution and continuous spatial coverage to assist in making management strategies and estimating health exposures. The Sichuan Basin has a complex terrain and several city clusters that differ from other regions...

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Bibliographic Details
Main Authors: Chao Gao, Xuelei Zhang, Wenyong Wang, Aijun Xiu, Daniel Q. Tong, Weiwei Chen
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Atmosphere
Subjects:
spatiotemporal distribution
aerosol optical depth
ground-level PM2.5
boundary layer height
hygroscopic growth factor
near real-time
retrieval algorithm
Online Access:http://www.mdpi.com/2073-4433/9/2/78

Internet

http://www.mdpi.com/2073-4433/9/2/78

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