| In this era of fast economic development, the city scale expands rapidly. At the same time, urban air pollution becomes seriously, which caused by various human factors, such as urban traffic pollution, engineering construction, industrial gases, natural ecological destruction and so on. A atmospheric pollution problem brings unprecedented challenges to the urban air quality. In most areas in China, the fine particulate matter PM2.5 has become the primary pollutant. Comprehensive and effective master of distribution and changing rules of air pollution is particularly important to urban environmental prevention and treatment. China’s territory is vast, but the general business of environment monitoring relies on ground routine monitoring. The ground monitoring sites are mainly distributed in the region of the large medium sized cities. Air quality monitoring is still at low level. Compared with the ground monitoring stations, Satellite remote sensing monitoring has the characteristics of fast, macro, dynamic and economic. It has obvious advantages of space continuity in the dynamic air pollution monitoring. Therefore, satellite remote sensing is one of the important technical methods in air pollution monitoring, for urban and regional environmental air quality monitoring and control.The correlation between the mass concentration of atmospheric PM2.5 and the MODIS aerosol optical depth is discussed. Satellite remote sensing estimation model is proposed to derive the annual and seasonal PM2.5 mass concentration. Meteorological factors are applied to modify the model and improve the accuracy of the model. Based on the MODIS AOD products and ground PM2.5 mass concentration data, it is analyzed that PM2.5 mass concentration changes and distribute spatially in Beijing-Tianjin-Hebei region. The main research contents and results are as follows:(1) Adopting MODIS AOD data and PM2.5 mass concentration data, the regression model is established. It shows that the correlation between AOD and PM2.5 value coefficient is not high, so it can’t directly be used to estimate the surface quality of PM2.5 concentrations. Then use modeling data to make fitting analysis of various cities by seasons respectively, the model precision is improve.(2) Considering regional consistency, the seven city’s sample data were analyzed. The model was modified by the elevation correction of aerosol optical depth and humidity correction of fine particulate matter mass concentration. It shows that the modified model is better. According to season, the relativity between modified AOD and PM2.5 value is more obvious. The modified model can derive ground PM2.5 mass concentration more correctly. The results show that the satellite remote sensing can be used as an effective supplementary means of monitoring concentration of fine particulate matter.(3) The spatial and temporal distribution of AOD and PM2.5 mass concentration’s shows that they have significant seasonal variation in the time distribution, AOD value in the autumn and winter seasons is lower than that in spring and summer seasons. High value of PM2.5 mass concentration appears from October to following year’s January, and the minimum appears from May to April. Spatial distribution of AOD and PM2.5 value in Beijing-Tianjin-Hebei region shows that the value increases from north to south. The value are lower in Zhangjiakou, Chengde and Qinhuangdao than that in Handan, Hengshui, Xingtai and Shijiazhuang.(4) Considering the influence of the terrain variation on aerosol distribution. Facts have proved that the topography has a great influence on the distribution of the aerosol optical depth, and there’s a significant negative correlation. The higher the terrain altitude, the lower of the value of aerosol optical depth; aerosol optical depth value is higher when the terrain is relatively flat. |
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