RETRIEVAL OF ATMOSPHERIC PARTICULATE MATTER USING SATELLITE DATA OVER CENTRAL AND EASTERN CHINA

Chen, G. L.; Guang, J.; Li, Y.; Che, Y. H.; Gong, S. Q.

Fine particulate matter (PM 2.5) is a particle cluster with diameters less than or equal to 2.5 μm. Over the past few decades, regional air pollution composed of PM 2.5 has frequently occurred over Central and Eastern China. In order to estimate the concentration, distribution and other properties of PM 2.5, the general retrieval models built by establishing the relationship between aerosol optical depth (AOD) and PM 2.5 has been widely used in many studies, including experimental models via statistics analysis and physical models with certain physical mechanism. The statistical experimental models can’t be extended to other areas or historical period due to its dependence on the ground-based observations and necessary auxiliary data, which limits its further application. In this paper, a physically based model is applied to estimate the concentration of PM 2.5 over Central and Eastern China from 2007 to 2016. The ground-based PM 2.5 measurements were used to be as reference data to validate our retrieval results. Then annual variation and distribution of PM 2.5 concentration in the Central and Eastern China was analysed. Results shows that the annual average PM 2.5 show a trend of gradually increasing and then decreasing during 2007–2016, with the highest value in 2011.

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Chen, G. L. / Guang, J. / Li, Y. / et al: RETRIEVAL OF ATMOSPHERIC PARTICULATE MATTER USING SATELLITE DATA OVER CENTRAL AND EASTERN CHINA. 2018. Copernicus Publications.

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