Journal article
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing
Scientific reports, Vol.8(1), 10174
12/01/2018
DOI: 10.1038/s41598-018-28535-2
PMCID: PMC6033905
PMID: 29977000
Abstract
Satellite aerosol optical depth (AOD) is widely used to estimate particulate matter with aerodynamic diameter ≤2.5 µm (PM
2.5
) mass concentrations. Polar orbiting satellite retrieval 1–2 times each day is frequently affected by cloud, snow cover or misclassification of heavy pollution. Novel methods are therefore required to improve AOD sampling. Sunphotometer provides much more AODs than satellite at a fixed point. Furthermore, much of the aerosol pollution is regional. Both factors indicate that sunphotometer has great potential for PM
2.5
concentration estimation. The spatial representativeness of the Aerosol Robotic Network (AERONET) AOD at Beijing site is investigated by linear regression analysis of 13-year daily paired AODs at each grid from Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua and Beijing AERONET. The result suggests a good correlation for the whole Beijing Administrative region, with regional mean correlation coefficient exceeding 0.73. Pixel AODs are then estimated from AERONET AOD using linear equations, which are verified to have the same accuracy as that of MODIS AOD. Either AOD from MODIS retrieval or estimation from AERONET AOD in the absence of MODIS pixel AOD is finally used to predict PM
2.5
concentration. Daily AOD sampling in average is enhanced by 59% in winter when MODIS AODs are very limited. More importantly, synergy of AERONET and MODIS AOD is able to improve the estimation of regional mean PM
2.5
concentrations, which indicates this method would play a significant role in monitoring regional aerosol pollution.
Details
- Title: Subtitle
- Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing
- Creators
- Disong Fu - Beijing, 100029 ChinaXiangao Xia - Beijing, 100029 ChinaJun Wang - Iowa City, IA 52241 USAXiaoling Zhang - Chengdu, 610225 ChinaXiaojing Li - Beijing, 100082 ChinaJianzhong Liu - Beijing, 100081 China
- Resource Type
- Journal article
- Publication Details
- Scientific reports, Vol.8(1), 10174
- DOI
- 10.1038/s41598-018-28535-2
- PMID
- 29977000
- PMCID
- PMC6033905
- NLM abbreviation
- Sci Rep
- ISSN
- 2045-2322
- eISSN
- 2045-2322
- Publisher
- Nature Publishing Group UK
- Language
- English
- Date published
- 12/01/2018
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Physics and Astronomy; Chemical and Biochemical Engineering
- Record Identifier
- 9984104812402771
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