Abstract
Abstract. The atmospheric aerosol pollution in the Beijing-Tianjin-Hebei(BTH) region of China is particularly serious. To quickly and accurately evaluate the aerosol pollution in BTH region using the remote sensing method – this article verified the accuracy of the global 1km resolution MCD19A2 aerosol optical depth (AOD) product to clarify its reliability in BTH region, moreover, MCD19A2 was used to study the characteristics of aerosols and its correlation with air quality index (AQI). First, the AOD spatial distribution in BTH region from 2014 to 2018 was obtained through the processes of MCD19A2 such as format conversion, mosaic. Then the AOD results were verified with AERONET measured data through accurate space-time matching, proving the high accuracy and reliability of MCD19A2 (R = 0.9504, MAE = 0.0863, RMSE = 0.1243, EE = 82.26%). Besides, based on the AOD results at different scales, the spatiotemporal characteristics of aerosols in BTH region were analyzed from the aspects of spatial distribution, annual variation, and seasonal variation. Finally, the study shows that MCD19A2 AOD and AQI have a high correlation and similar spatiotemporal characteristics, proving the direct indication of MCD19A2 on air pollution. This article plays an important role in the research of aerosol characteristics, air pollution monitoring and so on.
Highlights
Due to economic development and dense population, the emission of air pollutants such as aerosols in BTH region is increasing rapidly (Wang et al 2018)
2.2.3 Results and analysis Based on the space-time matching method, a total of 698 aerosol optical depth (AOD) point pairs of MCD19A2 and AErosol RObotic NETwork (AERONET) were obtained for verification
The correlation coefficient of AOD and air quality index (AQI) is 0.8339. These prove that there is a certain correlation between air quality and MCD19A2 AOD
Summary
Due to economic development and dense population, the emission of air pollutants such as aerosols in BTH region is increasing rapidly (Wang et al 2018). Monitoring and studying the characteristics of aerosol pollution accurately in BTH region is of great significance to analyze climate change, urban air quality and other issues. The MODIS sensor provides a good data basis for aerosol research in different regions with a long time series of global aerosol observation data (Sayer et al 2014). MCD19A2 realizes high-precision and high-resolution aerosol inversion and meets different application requirements such as air quality analysis. The researches (Bilal et al 2016; Xie et al 2011; Wong et al 2013) have used aerosol ground observation data such as AErosol RObotic NETwork (AERONET) to verify various aerosol products in different regions, which is of great significance in assessment and study of aerosol products. We carry out verification of MCD19A2 AOD, and explore the aerosol characteristics and the correlation between AOD and AQI in BTH region
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