Articles | Volume 21, issue 24
https://doi.org/10.5194/acp-21-18375-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-18375-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Dec 2021
Research article |
| 17 Dec 2021
| 17 Dec 2021
The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth
Qingqing He
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong SAR, China
School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan, China
Mengya Wang
Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong SAR, China
Asian School of the Environment, Nanyang Technological University, Singapore
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Short summary
We explore the spatiotemporal relationship between PM2.5 and AOD over China using a multi-scale analysis with MODIS MAIAC 1 km aerosol observations and ground measurements. The impact factors (vertical distribution, relative humidity and terrain) on the relationship are quantitatively studied. Our results provide significant information on PM2.5 and AOD, which is informative for mapping high-resolution PM2.5 and furthering the understanding of aerosol properties and the PM2.5 pollution status.
We explore the spatiotemporal relationship between PM2.5 and AOD over China using a multi-scale...
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