Study on spatial distribution of aerosol optical depth and particulate matter using MODIS data

Jicai Ning; Zhiqiang Gao; Maosi Chen

doi:10.1117/12.2317719

18 September 2018 Study on spatial distribution of aerosol optical depth and particulate matter using MODIS data

Jicai Ning, Zhiqiang Gao, Maosi Chen

Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 107670H (2018) https://doi.org/10.1117/12.2317719
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Particulate matter (PM) is one of the main pollutants in the atmosphere, which is harmful to human. PM10 and PM2.5 became the main subject attracting more and more interest. To compensate the weakness of conventional observation method, application of remote sensing tools have been widely used in environmental monitoring. The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale environment changes. In this study, we focused on PM2.5 and AOD (Aerosol Optical Depth) in coastal areas. Correlation between each two of them was analyzed. From the daily average value year of two sites PM2.5, the concentration of air particulate pollutants is low before and after summer, and the heating season is higher in winter and spring. The average PM2.5 concentration value of 2014 and 2015 is 50.11μg/m3 and 41.11μg/m³ respectively in Fushan station, and that of the Laishan station is 45.63μg/m³ and 38.73μg/m³ respectively. From the interannual variation, the concentration of air particulate pollutants in the two regions has a tendency to decrease. According to the new standard of air quality of the PM2.5 monitoring network, the air quality of the vast majority of dates belongs to the excellent grade. In light of the policy of air pollution, the PM2.5 concentration in 2015 was lower than that in 2014. Due to the complexity of atmospheric components and their interactions, and the spatial and temporal constraints of PM2.5 detection resulted in a low correlation between the AOT and PM2.5.

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Jicai Ning, Zhiqiang Gao, and Maosi Chen "Study on spatial distribution of aerosol optical depth and particulate matter using MODIS data", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 107670H (18 September 2018); https://doi.org/10.1117/12.2317719

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KEYWORDS

Aerosols

MODIS

Atmospheric particles

Remote sensing

Ocean optics

Satellites

Atmospheric sciences

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